From 96d909918526c75d415b171f84592f20b29d8774 Mon Sep 17 00:00:00 2001
From: Intron7 <severin.dicks@icloud.com>
Date: Tue, 4 Aug 2026 11:18:28 +0200
Subject: [PATCH 01/15] add codex and change cost calc

Signed-off-by: Intron7 <severin.dicks@icloud.com>
---
 .vscode/settings.json                         |    6 +-
 CHANGELOG.md                                  |   33 +
 README.md                                     |   65 +
 docs/api.md                                   |    2 +
 pyproject.toml                                |   13 +-
 src/acumen/__init__.py                        |   33 +-
 src/acumen/_skills/data/SKILL.md              |   23 +-
 .../_skills/data/references/authoring.md      |    6 +-
 .../_skills/data/references/benchmark.md      |   28 +-
 .../_skills/data/references/python-api.md     |   50 +-
 src/acumen/_skills/data/references/setup.md   |   10 +-
 src/acumen/_skills/install.py                 |   16 +-
 src/acumen/agents.py                          |  486 +++
 src/acumen/bench.py                           |    9 +-
 src/acumen/cli.py                             |  166 +-
 src/acumen/config.py                          |   26 +
 src/acumen/draft.py                           |   37 +-
 src/acumen/env.py                             |  183 +-
 src/acumen/improve.py                         |   52 +-
 src/acumen/logs.py                            |  134 +-
 src/acumen/pricefeed.py                       |  255 ++
 src/acumen/prices.py                          |  240 ++
 src/acumen/prompts.py                         |    7 +-
 src/acumen/runner.py                          |   97 +-
 src/acumen/sandbox.py                         |   31 +-
 src/acumen/scaffold.py                        |    2 +-
 src/acumen/ship.py                            |   63 +-
 src/acumen/taskgen.py                         |   59 +-
 src/acumen/transcript.py                      |  168 +-
 tests/conftest.py                             |    4 +-
 tests/test_cli.py                             |   22 +-
 tests/test_core.py                            |  626 +++-
 umask.save                                    |    1 +
 uv.lock                                       | 3054 +++++++++++++++++
 34 files changed, 5672 insertions(+), 335 deletions(-)
 create mode 100644 src/acumen/agents.py
 create mode 100644 src/acumen/pricefeed.py
 create mode 100644 src/acumen/prices.py
 create mode 100644 umask.save
 create mode 100644 uv.lock

diff --git a/.vscode/settings.json b/.vscode/settings.json
index e034b91..a6bcf49 100644
--- a/.vscode/settings.json
+++ b/.vscode/settings.json
@@ -14,5 +14,9 @@
     },
     "python.analysis.typeCheckingMode": "basic",
     "python.testing.pytestEnabled": true,
-    "python.testing.pytestArgs": ["-vv", "--color=yes"],
+    "python.testing.pytestArgs": [
+        "-vv",
+        "--color=yes"
+    ],
+    "cursorpyright.analysis.typeCheckingMode": "basic",
 }
diff --git a/CHANGELOG.md b/CHANGELOG.md
index 6700dde..78063dc 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -9,3 +9,36 @@ and this project adheres to [Semantic Versioning][].
 [semantic versioning]: https://semver.org/
 
 ## [0.0.1dev]
+
+### Added
+
+- Run Claude and Codex models side by side in benchmark matrices and use either
+  provider for drafting, improving, task generation, and shipping.
+- Compute `cost_usd` from each run's token breakdown rather than the provider's own
+  figure, so both providers are priced by one arithmetic path and cached input is billed
+  at its own rate. The rates used are frozen into `result.json`.
+- Add `acumen prices` to show the rate table and `acumen prices --refresh` to diff it
+  against the providers' published pricing, plus a `prices:` config key to override it.
+- Render an HTML transcript for Codex runs too, from the `codex exec` event stream.
+
+### Changed
+
+- Make both backends optional, so a Claude-only and a Codex-only install are each complete:
+  the Claude Agent SDK moves to the `claude` extra (`pip install acumen[claude]`, or
+  `acumen[all]`) and Codex needs only its CLI on `PATH`. Selecting a model whose backend is
+  not installed fails preflight with the command that installs it.
+- Enforce `max_turns` and `max_usd` for Codex, which has no cap of its own, from its event
+  stream. Turns are counted in completed model actions rather than `codex exec` invocations —
+  one invocation is a single Codex turn, so the old count was always 1 — and the run is
+  stopped at the cap. `max_usd` can only mark the outcome: Codex reports usage when a turn
+  ends, so an over-budget run is recorded as a `budget` failure after the spend.
+
+### Fixed
+
+- Stop feeding Codex transcripts to `claude-code-log`, which reads the SDK-native format
+  only: it skipped every line, exited 0, and wrote an empty page that was then recorded as a
+  successfully rendered transcript.
+- Drop `Claude` from the drafting and improving prompts, which described the artifact as a
+  "Claude Skill" even when a Codex agent was writing it for a non-Claude skills directory.
+- Remove `check_auth`/`auth_available`, which only ever looked for Claude credentials and
+  would report a Codex-only setup as unauthenticated. `resolve_auth_mode` replaced them.
diff --git a/README.md b/README.md
index cecf89e..3054a71 100644
--- a/README.md
+++ b/README.md
@@ -67,6 +67,62 @@ train/test isolation, and for `draft`/`improve` it is recorded in the version's
 shown in the report. (Don't paste held-out test answers into `improve` feedback — that would
 defeat the split.)
 
+Claude and Codex can run side by side. Put both model families in `models` to compare them
+in one matrix; model IDs beginning with `claude` use Claude Code, while `gpt-*`, `o1`,
+`o3`, `o4`, and `codex-*` use Codex:
+
+```yaml
+models:
+  - claude-opus-5
+  - claude-sonnet-5
+  - claude-haiku-4-5-20251001
+  - gpt-5.6-sol
+  - gpt-5.6-terra
+  - gpt-5.6-luna
+```
+
+This spans each provider's quality/cost range; it is not a claim that the tiers are
+one-to-one equivalents.
+
+Neither backend is required. Claude is an optional dependency and Codex is an external CLI,
+so install only the one you run — `pip install acumen[claude]`, or plain `acumen` plus the
+`codex` CLI on `PATH`. Selecting a model whose backend is missing fails immediately, with the
+install command, before acumen prepares a target or spends anything.
+
+Claude API runs use `ANTHROPIC_API_KEY`; Codex API runs use `CODEX_API_KEY` (or
+`OPENAI_API_KEY`). The meta-agent commands also accept a Codex model through their
+`*_model` config keys or `--model`, and `--auth auto` prefers that provider's logged-in
+subscription.
+
+`max_turns` and `max_usd` apply to both providers, but they are not equally strict for Codex,
+which has no cap of its own — acumen enforces both against its event stream:
+
+- **`max_turns` bounds the run.** One `codex exec` is a single Codex turn however much work
+  happens inside it, so turns are counted in completed model actions (a message, a command, a
+  file change, a tool or search call) and the agent is stopped at the cap.
+- **`max_usd` cannot.** Codex reports usage once, when the turn ends, so a breach is only
+  visible after the money is spent. The run is recorded as a budget failure — the same outcome
+  Claude gives it — but bound Codex spend with `max_turns`. acumen prints this before the pass.
+
+**Cost is computed from tokens, not taken from the provider.** Only one of the two
+providers reports a billed dollar figure, so a mixed matrix would be comparing a real
+number against a zero. Every run instead records its token breakdown — fresh input, cache
+reads, cache writes, output, which are priced up to 10x apart — and `cost_usd` is derived
+from a rate table, identical arithmetic for both providers. The rates used are frozen into
+each `result.json`, so a pass benchmarked in January is not silently re-priced in July.
+
+```bash
+acumen prices              # the rates in use, and where each came from
+acumen prices --refresh    # re-check them against the providers' pricing pages
+```
+
+`--refresh` fetches both providers' published tables and prints a diff for you to accept —
+it never rewrites anything, because picking the wrong tier or context band would silently
+misprice every future run. Adopt changes by pasting the emitted block into `config.yaml`
+under `prices:`, which is also how you price a model acumen doesn't ship a rate for, or
+override rates for a gateway. A model with no rate records its tokens and leaves `cost_usd`
+unset — never zero, which would read as free.
+
 `draft`, `improve`, `tasks`, and `ship` each drive a long autonomous agent. Every run writes a
 live `logs/acumen-<command>-<datetime>.jsonl` (one event per step, flushed as it goes — so you
 can watch progress by reading the file) and a rendered `.html` transcript. Add `--stream` to
@@ -82,6 +138,15 @@ in particular, the [API documentation][].
 You need to have Python 3.12 or newer installed on your system.
 If you don't have Python installed, we recommend installing [uv][].
 
+Install the backend you actually run — both are optional, and either alone is a complete
+install:
+
+| you run | install | also needs |
+|---|---|---|
+| Claude only | `pip install acumen[claude]` | an Anthropic key or a `claude` login |
+| Codex only | `pip install acumen` | the `codex` CLI on `PATH`, plus a Codex login or key |
+| both | `pip install acumen[all]` | both of the above |
+
 <!--
 1) Install the latest release of `acumen` from [PyPI][]:
 
diff --git a/docs/api.md b/docs/api.md
index ab47e72..0535ead 100644
--- a/docs/api.md
+++ b/docs/api.md
@@ -133,7 +133,9 @@ conversion.
 
     LiveLog
     locate_transcript
+    render_agent_transcript
     render_transcript
+    render_codex_transcript
 ```
 
 ## Reporting
diff --git a/pyproject.toml b/pyproject.toml
index 04ccb5d..608399a 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -22,8 +22,6 @@ classifiers = [
   "Programming Language :: Python :: 3.14",
 ]
 dependencies = [
-  "claude-agent-sdk>=0.2.116",
-  "claude-code-log",
   "matplotlib",
   "numpy",
   "pandas",
@@ -33,6 +31,14 @@ dependencies = [
   # for debug logging (referenced from the issue template)
   "session-info2",
 ]
+# Backends are optional and independent: install the ones you actually run. Claude needs a
+# Python SDK (and claude-code-log to render its transcripts); Codex is an external CLI, so it
+# adds no Python dependency at all — `codex` on PATH is the whole requirement.
+optional-dependencies.all = [ "acumen[claude]" ]
+optional-dependencies.claude = [
+  "claude-agent-sdk>=0.2.116",
+  "claude-code-log",
+]
 # https://docs.pypi.org/project_metadata/#project-urls
 urls.Documentation = "https://acumen.readthedocs.io/"
 urls.Homepage = "https://github.com/scverse/acumen"
@@ -85,6 +91,9 @@ envs.hatch-test.overrides.matrix.deps.env-vars = [
   { value = "allow", key = "UV_PRERELEASE", if = [ "pre" ] },
 ]
 envs.hatch-test.dependency-groups = [ "dev", "test" ]
+# The test suite covers both backends, so it installs every optional one. The Codex-only and
+# Claude-only import paths are covered from within the suite, by hiding a backend at import time.
+envs.hatch-test.features = [ "all" ]
 
 [tool.ruff]
 line-length = 120
diff --git a/src/acumen/__init__.py b/src/acumen/__init__.py
index 3d88e5c..f6da375 100644
--- a/src/acumen/__init__.py
+++ b/src/acumen/__init__.py
@@ -1,7 +1,17 @@
-"""Build, benchmark, and optimize Claude skills for Python packages."""
+"""Build, benchmark, and optimize agentic skills for Python packages."""
 
 from importlib.metadata import version
 
+from acumen.agents import (
+    AgentError,
+    AgentOptions,
+    AgentProvider,
+    AgentResult,
+    check_agent_cli,
+    claude_sdk_available,
+    provider_for_model,
+    run_agent,
+)
 from acumen.bench import PlannedRun, build_matrix, pending, run_matrix, summarize
 from acumen.config import Config, ConfigError, load_config, parse_config
 from acumen.draft import DraftError, DraftResult, draft_skill
@@ -10,9 +20,7 @@
     EnvError,
     Target,
     api_auth_available,
-    auth_available,
     build_agent_env,
-    check_auth,
     prepare_target,
     resolve_auth_mode,
     scrubbed_env,
@@ -66,10 +74,19 @@
     make_skill_guard,
 )
 from acumen.tasks import Task, TaskError, TaskSplit, load_tasks, parse_tasks
-from acumen.transcript import locate_transcript, render_transcript
+from acumen.transcript import (
+    locate_transcript,
+    render_agent_transcript,
+    render_codex_transcript,
+    render_transcript,
+)
 
 __all__ = [
     "AuthMode",
+    "AgentError",
+    "AgentOptions",
+    "AgentProvider",
+    "AgentResult",
     "Config",
     "ConfigError",
     "DraftError",
@@ -104,9 +121,9 @@
     "api_auth_available",
     "arm_metrics",
     "arm_name",
-    "auth_available",
     "available_versions",
-    "check_auth",
+    "check_agent_cli",
+    "claude_sdk_available",
     "build_agent_env",
     "build_filtered_source",
     "build_matrix",
@@ -137,10 +154,14 @@
     "parse_tasks",
     "pending",
     "prepare_target",
+    "provider_for_model",
+    "render_agent_transcript",
+    "render_codex_transcript",
     "render_transcript",
     "resolve_auth_mode",
     "resolve_palette",
     "run_dir",
+    "run_agent",
     "run_matrix",
     "run_once",
     "sandbox",
diff --git a/src/acumen/_skills/data/SKILL.md b/src/acumen/_skills/data/SKILL.md
index 982da29..a30b50e 100644
--- a/src/acumen/_skills/data/SKILL.md
+++ b/src/acumen/_skills/data/SKILL.md
@@ -70,10 +70,21 @@ a command.
 - The target (`repo`: a GitHub URL or a local path) must be pip-installable and declare
   `[project].name` in `pyproject.toml`. A local `repo` path is resolved **relative to
   `config.yaml`**.
-- Credentials: `bench` **always bills the Anthropic API** and refuses to run without
-  `ANTHROPIC_API_KEY` (or `ANTHROPIC_AUTH_TOKEN` / Bedrock / Vertex) — it records real
-  per-run `cost_usd`, and it has no `--auth` flag. `tasks`/`draft`/`improve`/`ship`
-  default to the Claude subscription if you are logged in (`--auth {auto,session,api}`).
+- Credentials: `bench` **always bills the selected provider API** and has no `--auth`
+  flag. Claude needs `ANTHROPIC_API_KEY` (or Anthropic provider credentials); Codex
+  needs `CODEX_API_KEY` or `OPENAI_API_KEY`. `tasks`/`draft`/`improve`/`ship` default
+  to the selected provider's logged-in subscription (`--auth {auto,session,api}`).
+  Both backends are optional: `pip install acumen[claude]` for Claude, plain `acumen` plus
+  the `codex` CLI for Codex. A model whose backend is missing fails preflight with the
+  install command.
+- **Codex caps are not equally strict.** `codex exec` has no cap of its own, so acumen
+  enforces both from its event stream. `max_turns` bounds the run (counted in completed
+  model actions, since one `codex exec` is a single Codex turn). `max_usd` cannot: Codex
+  reports usage only when a turn ends, so an over-budget run is recorded as a `budget`
+  failure but the spend already happened — bound Codex with `max_turns`.
+- **`cost_usd` is derived from token counts**, not from the provider — one arithmetic
+  path for both. Rates are frozen into each run; see them with `acumen prices`, re-check
+  them with `acumen prices --refresh`, override or extend via `prices:` in `config.yaml`.
 - The target is cloned + installed into a venv cached under `~/.cache/acumen`, keyed by
   (repo, ref). Use `--refresh-target` after changing the target's own source.
 
@@ -82,8 +93,8 @@ a command.
 1. **Grading is exact string match on `answer.md` after `strip()`, case-sensitive.**
    Nothing is normalized. `**TOKEN**` against `TOKEN` fails (recorded as `format_error`,
    not `wrong_answer`). Task answers must be one short unambiguous token.
-2. **A pass is models × tasks × splits × replicates.** The scaffolded config lists 3
-   models and `n_replicates: 3`, so *one* task costs 18 agent runs *per arm*. Check with
+2. **A pass is models × tasks × splits × replicates.** The scaffolded config lists 6
+   models and `n_replicates: 3`, so *one* task costs 36 agent runs *per arm*. Check with
    `acumen bench --dry-run` (it plans and exits, spending nothing) and agree the size with
    the user before spending. Trim with `models:`, `n_replicates: 1`, `--task ID`, `--split`.
 3. **`max_turns`/`max_usd` in `config.yaml` cap benchmark agents only.** `draft`,
diff --git a/src/acumen/_skills/data/references/authoring.md b/src/acumen/_skills/data/references/authoring.md
index a9a72fb..9b6c72c 100644
--- a/src/acumen/_skills/data/references/authoring.md
+++ b/src/acumen/_skills/data/references/authoring.md
@@ -84,8 +84,8 @@ report. What makes a version score well:
 ## Watching a long agent run
 
 `tasks`/`draft`/`improve`/`ship` each write `logs/acumen-<command>-<YYYYMMDD-HHMMSS>.jsonl`,
-one compact event per SDK message, **flushed as it goes** — read that file to follow
+one compact event per agent message, **flushed as it goes** — read that file to follow
 progress instead of streaming into your context. Tool results are recorded by status and
 size, not inlined. `--stream` mirrors the conversation to the terminal; `--log-dir` moves
-the logs. A rendered `.html` transcript lands beside the jsonl at the end (skipped, with a
-note, if `claude-code-log` is missing).
+the logs. A rendered `.html` transcript lands beside the jsonl at the end, for either
+provider (a Claude one is skipped, with a note, if `claude-code-log` is missing).
diff --git a/src/acumen/_skills/data/references/benchmark.md b/src/acumen/_skills/data/references/benchmark.md
index 78285a9..29982d4 100644
--- a/src/acumen/_skills/data/references/benchmark.md
+++ b/src/acumen/_skills/data/references/benchmark.md
@@ -15,13 +15,14 @@ acumen bench [--no-skill | --skill v1] [--split train|test]... [--task ID]...
 - `--dry-run` prints the planned matrix and exits **before** target prep and before any
   agent runs — free, and the right way to check the size of a pass.
 - `--replicates` / `--max-concurrency` override the config for this pass only.
-- Always bills the API (`ANTHROPIC_API_KEY` etc.); there is no `--auth` here, because the
-  recorded `cost_usd` must be real metered spend.
+- Always bills the selected provider's API (`ANTHROPIC_API_KEY` for Claude;
+  `CODEX_API_KEY`/`OPENAI_API_KEY` for Codex); there is no `--auth` here.
 - Ctrl-C is safe: completed runs are preserved and the next invocation resumes.
 
 **Arm parity is the whole point.** Both arms get an identical prompt, tools, caps, and
 environment; the only difference is that a skill arm copies the skill's content files into
-`<sandbox>/.claude/skills/<skill_name>/` where project settings discovery finds it.
+`<sandbox>/.claude/skills/<skill_name>/` for Claude or
+`<sandbox>/.agents/skills/<skill_name>/` for Codex, where project discovery finds it.
 `meta.json` is never copied. Each run gets a fresh empty sandbox with the target venv on
 PATH, a throwaway `HOME` and `CLAUDE_CONFIG_DIR` — no repo source, no user settings, no
 `CLAUDE.md` memories, no visibility of other runs.
@@ -39,8 +40,8 @@ holds five files:
 |---|---|
 | `answer.md` | What the agent wrote — the only thing graded |
 | `script.py` | The agent's reproduction script (absent if it ran no code) |
-| `transcript.jsonl` | SDK-native transcript |
-| `transcript.html` | Rendered transcript (via `claude-code-log`) |
+| `transcript.jsonl` | The provider's own transcript — SDK-native for Claude, the `codex exec` event stream for Codex |
+| `transcript.html` | Rendered transcript, written for both providers |
 | `result.json` | The unit of record — written **last** |
 
 `result.json` presence + non-zero size is what marks a run complete, which is what makes
@@ -48,6 +49,23 @@ resume safe. Useful fields: `success`, `reason`, `answer`, `expected`, `model`,
 `cost_usd`, `input_tokens`, `output_tokens`, `duration_s`, `skill_hash`, `skill_name`,
 `skill_loaded`, `pkg_version`, `commit`, `session_id`, `subtype`, `error`.
 
+**`cost_usd` is computed from tokens, not reported by the provider.** Each run records
+`input_tokens` (the total), `cache_read_tokens`, `cache_write_tokens`, and `output_tokens`;
+cost is those counts times the model's rates, which are frozen into the run as
+`price_rates` so old runs are never re-priced. The provider's own figure, where it exists,
+is kept alongside as `provider_cost_usd` for cross-checking. A model with no rate leaves
+`cost_available` false and `cost_usd` 0 — check the flag before summing. Inspect or
+re-check the rate table with `acumen prices` / `acumen prices --refresh`, and set
+`prices:` in `config.yaml` to price an unlisted model.
+
+`codex exec` has no cap of its own, so acumen enforces both from its event stream, at
+different resolutions. `max_turns` really does stop the run — counted in completed model
+actions (message, command, file change, tool/search call), because one `codex exec` is a
+single Codex turn however much work happens inside it. `max_usd` only marks the outcome:
+Codex reports usage once, when the turn ends, so the breach is visible after the spend, not
+before. The run is recorded `budget` either way; the CLI warns before the pass. A turn-capped
+Codex run is stopped mid-turn and so records no usage — a failure with zero tokens.
+
 ## Reasons
 
 | `reason` | Meaning |
diff --git a/src/acumen/_skills/data/references/python-api.md b/src/acumen/_skills/data/references/python-api.md
index 0a4cb5e..4f58cda 100644
--- a/src/acumen/_skills/data/references/python-api.md
+++ b/src/acumen/_skills/data/references/python-api.md
@@ -11,8 +11,8 @@ stderr — call the functions directly if you want the exceptions.
 from pathlib import Path
 from acumen import load_config, load_tasks, parse_config, parse_tasks
 
-cfg = load_config(Path("config.yaml"))    # validates; resolves a local repo relative to the file
-tasks = load_tasks(Path("tasks.yaml"))    # list[Task]; task.split("train") -> TaskSplit(prompt, answer)
+cfg = load_config(Path("config.yaml"))  # validates; resolves a local repo relative to the file
+tasks = load_tasks(Path("tasks.yaml"))  # list[Task]; task.split("train") -> TaskSplit(prompt, answer)
 ```
 
 `Config` is a frozen dataclass — override with `dataclasses.replace(cfg, n_replicates=1)`.
@@ -25,9 +25,9 @@ from acumen import prepare_target
 from acumen.env import DEFAULT_CACHE_ROOT
 
 target = prepare_target(cfg, DEFAULT_CACHE_ROOT, refresh=False)
-target.python      # venv interpreter with the package installed
-target.bin_dir     # what goes on an agent's PATH
-target.fingerprint # "<pkg> <version>", as recorded in result.json
+target.python  # venv interpreter with the package installed
+target.bin_dir  # what goes on an agent's PATH
+target.fingerprint  # "<pkg> <version>", as recorded in result.json
 ```
 
 Needs `uv` on PATH. Cached by (repo, ref) under `~/.cache/acumen`.
@@ -38,16 +38,23 @@ Needs `uv` on PATH. Cached by (repo, ref) under `~/.cache/acumen`.
 import asyncio
 from acumen import build_matrix, pending, run_matrix, load_skill, summarize
 
-skill = load_skill(Path("skills"), "v1", expect_name=cfg.skill_name)   # None for the baseline
+skill = load_skill(Path("skills"), "v1", expect_name=cfg.skill_name)  # None for the baseline
 planned = build_matrix(cfg, tasks, skill="v1", splits=("train",), task_ids=["t1"])
 todo = pending(planned, Path("runs"), resume=True)
-outcomes = asyncio.run(run_matrix(
-    todo, target=target, runs_root=Path("runs"),
-    max_concurrency=cfg.max_concurrency, auth_mode="api", skill=skill,
-    on_start=lambda p: None, on_done=lambda o: None,
-    env_passthrough=cfg.env_passthrough,
-))
-summarize(outcomes)   # {"ok": 5, "wrong_answer": 1, ...}
+outcomes = asyncio.run(
+    run_matrix(
+        todo,
+        target=target,
+        runs_root=Path("runs"),
+        max_concurrency=cfg.max_concurrency,
+        auth_mode="api",
+        skill=skill,
+        on_start=lambda p: None,
+        on_done=lambda o: None,
+        env_passthrough=cfg.env_passthrough,
+    )
+)
+summarize(outcomes)  # {"ok": 5, "wrong_answer": 1, ...}
 ```
 
 `run_matrix` and `run_once` are coroutines. `run_once` records agent crashes as failed runs
@@ -61,10 +68,9 @@ rather than raising, so one bad run never kills a pass. `run_once` raises `Value
 ```python
 from acumen import grade_answer, grade_run, run_dir, parse_run_dir, is_complete, RunKey, arm_name
 
-grade_answer("**SPI1**", "SPI1")   # Grade(success=False, reason='format_error', answer='**SPI1**')
-run_dir(Path("runs"), RunKey(arm=arm_name("v1"), split="test", model="claude-opus-5",
-                            task_id="t1", rep=1))
-is_complete(d)                     # a non-empty result.json is what "done" means
+grade_answer("**SPI1**", "SPI1")  # Grade(success=False, reason='format_error', answer='**SPI1**')
+run_dir(Path("runs"), RunKey(arm=arm_name("v1"), split="test", model="claude-opus-5", task_id="t1", rep=1))
+is_complete(d)  # a non-empty result.json is what "done" means
 ```
 
 ## The meta-agents
@@ -77,10 +83,10 @@ Pass a `LiveLog` as `log=` for the JSONL feed:
 
 ```python
 from acumen import LiveLog, draft_skill
+
 log = LiveLog.open(Path("logs"), "draft", stream=False)
 with log:
-    result = asyncio.run(draft_skill(cfg=cfg, target=target, skills_root=Path("skills"),
-                                     auth_mode="session", log=log))
+    result = asyncio.run(draft_skill(cfg=cfg, target=target, skills_root=Path("skills"), auth_mode="session", log=log))
 ```
 
 ## Aggregating results
@@ -88,10 +94,10 @@ with log:
 ```python
 from acumen import load_results, arm_metrics, build_report
 
-df = load_results(Path("runs"))            # one row per result.json, + total_tokens, arm_label
-arm_metrics(df[df["split"] == "test"])     # per-arm rate, stderr, tokens, cost, time, n
+df = load_results(Path("runs"))  # one row per result.json, + total_tokens, arm_label
+arm_metrics(df[df["split"] == "test"])  # per-arm rate, stderr, tokens, cost, time, n
 report = build_report(Path("runs"), Path("report.html"), tasks, skills_root=Path("skills"))
-report.n_runs, report.results              # the DataFrame behind the HTML
+report.n_runs, report.results  # the DataFrame behind the HTML
 ```
 
 `build_report` writes `report.html` **and `report.csv`** (same stem) and returns `Report`.
diff --git a/src/acumen/_skills/data/references/setup.md b/src/acumen/_skills/data/references/setup.md
index 7c77f23..fb3eb0d 100644
--- a/src/acumen/_skills/data/references/setup.md
+++ b/src/acumen/_skills/data/references/setup.md
@@ -19,16 +19,18 @@ Only `repo` is required; delete a line to take its default.
 | `extras` | `[]` | pip extras installed with the target, e.g. `[test]`. |
 | `python` | `"3.12"` | Interpreter for the target's venv (quote it — `3.10` unquoted is a float). |
 | `env_passthrough` | `[]` | Extra env var names agents may keep. The agent env is a clean allowlist (auth/proxy/TLS only); **everything else from your shell is blanked**. A target needing `OMP_NUM_THREADS`, `R_HOME`, a service key, etc. must name it here. |
-| `models` | `[claude-opus-5]` | Benchmark models. Duplicates rejected. `models[0]` is the default for the four `*_model` keys below. |
+| `models` | `[claude-opus-5]` | Benchmark models. Claude (`claude*`) and Codex (`gpt-*`, `o1`/`o3`/`o4`, `codex-*`) models may be mixed. Duplicates rejected. `models[0]` is the default for the four `*_model` keys below. |
 | `n_replicates` | `3` | Runs per (model, task, split) cell. |
 | `max_concurrency` | `4` | Simultaneous benchmark agents. |
 | `max_turns` | `40` | **Benchmark agents only.** |
 | `max_usd` | `3.0` | **Benchmark agents only.** |
 | `draft_model` / `improve_model` / `tasks_model` / `ship_model` | `models[0]` | Meta-agent models; overridable per command with `--model`. |
 | `skill_name` | repo basename, slugified + lowercased | Must equal the `name:` in the skill's frontmatter. |
+| `prices` | built-in table | Per-model token rates (USD per million): `{model: {input, output, cached_input?, cache_write?}}`. Overrides or extends acumen's table — needed for a model it doesn't ship a rate for, a gateway, or negotiated rates. Cache rates default to 0.1x / 1.25x of input. See `acumen prices`. |
 
-The scaffold's `models:` line lists three models — with `n_replicates: 3` that is 18 runs
-per task per arm. Cut it down before the first real pass.
+The scaffold's `models:` line lists three Claude and three Codex models. With
+`n_replicates: 3`, one task expands to 36 runs per arm, so cut the matrix down before
+the first real pass.
 
 ## tasks.yaml
 
@@ -86,7 +88,7 @@ sizeable file. Unbounded in turns and cost by default.
 - **There is no append mode.** The generator never reads your existing tasks file, so
   appending would silently duplicate. To combine, generate to a separate path and merge by
   hand.
-- Existing skills and agent-instruction files (`SKILL.md`, `.claude/`, `CLAUDE.md`,
+- Existing skills and agent-instruction files (`SKILL.md`, `.agents/`, `.claude/`, `.codex/`, `CLAUDE.md`,
   `AGENTS.md`, `.cursor/`, root `skills/`) are stripped from the source copy it reads and
   blocked by a hook, so pre-written guidance cannot bias which tasks it picks.
 - The output is validated through the strict tasks loader before it is written — it can
diff --git a/src/acumen/_skills/install.py b/src/acumen/_skills/install.py
index 1847ea3..1ea990a 100644
--- a/src/acumen/_skills/install.py
+++ b/src/acumen/_skills/install.py
@@ -59,16 +59,10 @@ def _claude_science_skills_dir() -> Path:
         active_org = json.loads(active_org_path.read_text(encoding="utf-8"))
     except (OSError, json.JSONDecodeError) as error:
         raise ValueError(
-            "cannot resolve the Claude Science active organization from "
-            f"{active_org_path}; pass --dest instead"
+            f"cannot resolve the Claude Science active organization from {active_org_path}; pass --dest instead"
         ) from error
     org_uuid = active_org.get("org_uuid") if isinstance(active_org, dict) else None
-    if (
-        not isinstance(org_uuid, str)
-        or not org_uuid
-        or Path(org_uuid).name != org_uuid
-        or org_uuid in {".", ".."}
-    ):
+    if not isinstance(org_uuid, str) or not org_uuid or Path(org_uuid).name != org_uuid or org_uuid in {".", ".."}:
         raise ValueError(f"invalid Claude Science org_uuid in {active_org_path}; pass --dest instead")
     return root / "orgs" / org_uuid / "skills"
 
@@ -96,11 +90,7 @@ def resolve_dest(agent: str | None, dest: Path | None) -> Path:
 
 def _snapshot(root: Path) -> dict[str, bytes]:
     """Map each file under ``root`` to its bytes, for exact tree comparison."""
-    return {
-        str(item.relative_to(root)): item.read_bytes()
-        for item in root.rglob("*")
-        if item.is_file()
-    }
+    return {str(item.relative_to(root)): item.read_bytes() for item in root.rglob("*") if item.is_file()}
 
 
 def _matches(source: Path, target: Path) -> bool:
diff --git a/src/acumen/agents.py b/src/acumen/agents.py
new file mode 100644
index 0000000..9f39a21
--- /dev/null
+++ b/src/acumen/agents.py
@@ -0,0 +1,486 @@
+"""Provider-neutral agent execution for Claude Code and Codex.
+
+The rest of acumen deals in one small result shape. Claude is driven through its
+Python SDK; Codex is driven through its documented non-interactive JSONL interface.
+Keeping both adapters here prevents provider-specific message types and subprocess
+details from leaking into the benchmark and meta-agent workflows.
+
+Neither backend is required to use acumen. The Claude SDK is an optional dependency
+(``pip install acumen[claude]``) and Codex is an external CLI, so a Claude-only and a
+Codex-only install are both complete. Every import of a backend is therefore made inside
+the function that needs it, and :func:`check_agent_cli` turns a missing one into an
+actionable error before a command does any expensive work.
+"""
+
+from __future__ import annotations
+
+import asyncio
+import importlib.util
+import json
+import shlex
+import shutil
+import sys
+import time
+from collections.abc import Callable, Sequence
+from dataclasses import dataclass, field
+from pathlib import Path
+from typing import TYPE_CHECKING, Any, Literal
+
+if TYPE_CHECKING:
+    from claude_agent_sdk import ClaudeAgentOptions, ResultMessage
+
+AgentProvider = Literal["claude", "codex"]
+
+
+class AgentError(RuntimeError):
+    """Raised when an agent model or provider cannot be resolved."""
+
+
+def provider_for_model(model: str) -> AgentProvider:
+    """Infer the agent provider from a model ID.
+
+    Anthropic model IDs begin with ``claude``. OpenAI's coding-capable IDs use
+    ``gpt-*``, ``o*``, or ``codex-*``. Provider-qualified IDs are accepted too,
+    which keeps proxy/router configurations readable.
+    """
+    value = model.strip().lower()
+    tail = value.rsplit("/", 1)[-1]
+    if tail.startswith("claude"):
+        return "claude"
+    if tail.startswith(("gpt-", "o1", "o3", "o4", "codex-")):
+        return "codex"
+    raise AgentError(
+        f"cannot infer an agent for model {model!r}; use a Claude model ID beginning "
+        "with 'claude' or an OpenAI model ID beginning with 'gpt-', 'o1', 'o3', "
+        "'o4', or 'codex-'"
+    )
+
+
+def claude_sdk_available() -> bool:
+    """Whether the optional Claude Agent SDK is installed."""
+    return importlib.util.find_spec("claude_agent_sdk") is not None
+
+
+def check_agent_cli(provider: AgentProvider) -> None:
+    """Fail before target preparation when the selected backend is not installed.
+
+    Each backend is optional and they are checked the same way: acumen refuses to prepare a
+    target, build a sandbox, or spend a token for a provider it cannot actually drive.
+    """
+    if provider == "codex" and shutil.which("codex") is None:
+        raise AgentError("codex is not on PATH — install Codex CLI before running an OpenAI model")
+    if provider == "claude" and not claude_sdk_available():
+        raise AgentError(
+            "the Claude Agent SDK is not installed — run `pip install acumen[claude]` before "
+            "running a Claude model, or select a Codex model"
+        )
+
+
+@dataclass(frozen=True)
+class AgentResult:
+    """The provider-neutral terminal result of one autonomous agent run."""
+
+    provider: AgentProvider
+    is_error: bool
+    subtype: str
+    errors: list[str] | None
+    session_id: str | None
+    result: str
+    num_turns: int
+    total_cost_usd: float | None
+    duration_ms: int
+    usage: dict[str, int]
+    stop_reason: str | None = None
+    transcript: list[dict[str, Any]] = field(default_factory=list)
+
+
+@dataclass(frozen=True)
+class AgentOptions:
+    """Provider-neutral options shared by benchmark and meta-agent runs."""
+
+    cwd: Path
+    env: dict[str, str]
+    model: str
+    max_turns: int | None = None
+    max_usd: float | None = None
+    add_dirs: tuple[Path, ...] = ()
+    discover_skills: bool = True
+    claude_hooks: dict[str, Any] | None = None
+    deny_paths: tuple[Path, ...] = ()
+    stderr: Callable[[str], None] | None = None
+    #: Prices one provider usage block in USD. Claude enforces ``max_usd`` itself against the
+    #: figure it bills; Codex reports tokens and no dollar amount, so enforcing a budget there
+    #: means pricing its usage ourselves — pass the caller's rate table in as this hook.
+    #: Without it ``max_usd`` cannot be enforced for a Codex run.
+    price_usd: Callable[[dict[str, Any]], float | None] | None = None
+
+
+def _claude_options(options: AgentOptions) -> ClaudeAgentOptions:
+    from claude_agent_sdk import ClaudeAgentOptions
+
+    return ClaudeAgentOptions(
+        cwd=str(options.cwd),
+        env=options.env,
+        model=options.model,
+        max_turns=options.max_turns,
+        max_budget_usd=options.max_usd,
+        add_dirs=[str(path) for path in options.add_dirs],
+        setting_sources=["project"] if options.discover_skills else [],
+        permission_mode="bypassPermissions",
+        system_prompt={"type": "preset", "preset": "claude_code"},
+        hooks=options.claude_hooks,
+        stderr=options.stderr,
+    )
+
+
+def _from_claude(result: ResultMessage) -> AgentResult:
+    return AgentResult(
+        provider="claude",
+        is_error=bool(result.is_error),
+        subtype=result.subtype or "",
+        errors=result.errors,
+        session_id=result.session_id,
+        result=result.result or "",
+        num_turns=result.num_turns,
+        total_cost_usd=result.total_cost_usd,
+        duration_ms=result.duration_ms or 0,
+        usage=dict(result.usage or {}),
+        stop_reason=result.stop_reason,
+    )
+
+
+async def _run_claude(
+    prompt: str,
+    options: AgentOptions,
+    on_event: Callable[[Any], None] | None,
+) -> AgentResult:
+    from claude_agent_sdk import ResultMessage, query
+
+    result: ResultMessage | None = None
+    async for message in query(prompt=prompt, options=_claude_options(options)):
+        if on_event is not None:
+            on_event(message)
+        if isinstance(message, ResultMessage):
+            result = message
+    if result is None:
+        raise AgentError("the Claude agent produced no result message")
+    return _from_claude(result)
+
+
+def _codex_command(options: AgentOptions, prompt: str) -> list[str]:
+    cli = shutil.which("codex", path=options.env.get("PATH"))
+    if cli is None:
+        raise AgentError("codex is not on PATH — install Codex CLI before running an OpenAI model")
+    command = [
+        cli,
+        "exec",
+        "--json",
+        "--ephemeral",
+        "--ignore-user-config",
+        "--ignore-rules",
+        "--skip-git-repo-check",
+        "--color",
+        "never",
+        "--sandbox",
+        "workspace-write",
+        "-c",
+        "project_doc_max_bytes=0",
+        "-c",
+        "project_doc_fallback_filenames=[]",
+        "-c",
+        "sandbox_workspace_write.network_access=true",
+        "--cd",
+        str(options.cwd),
+        "--model",
+        options.model,
+    ]
+    if options.deny_paths:
+        command.append("--dangerously-bypass-hook-trust")
+    for path in options.add_dirs:
+        command.extend(("--add-dir", str(path)))
+    command.append(prompt)
+    return command
+
+
+def _codex_guard_source(denied: Sequence[Path]) -> str:
+    """Return a standalone Codex PreToolUse guard for absolute denied roots."""
+    roots = repr([str(path.resolve()) for path in denied])
+    return f"""\
+import json
+import shlex
+import sys
+from pathlib import Path
+
+ROOTS = [Path(value) for value in {roots}]
+
+
+def blocked(value, cwd):
+    if not isinstance(value, str) or not value.strip():
+        return None
+    candidates = [value]
+    expanded = value.translate(str.maketrans({{char: " " for char in "|&;()<>`\\n\\r\\t"}}))
+    try:
+        candidates.extend(shlex.split(expanded))
+    except ValueError:
+        candidates.extend(expanded.split())
+    for raw in candidates:
+        raw = raw.strip(" ,;()[]{{}}'\\\"")
+        if not raw:
+            continue
+        try:
+            path = Path(raw).expanduser()
+            resolved = (path if path.is_absolute() else cwd / path).resolve()
+        except (OSError, RuntimeError, ValueError):
+            continue
+        for root in ROOTS:
+            try:
+                resolved.relative_to(root)
+            except ValueError:
+                continue
+            return raw
+    return None
+
+
+def strings(value):
+    if isinstance(value, str):
+        yield value
+    elif isinstance(value, dict):
+        for item in value.values():
+            yield from strings(item)
+    elif isinstance(value, list):
+        for item in value:
+            yield from strings(item)
+
+
+payload = json.load(sys.stdin)
+cwd = Path(payload.get("cwd") or ".").resolve()
+for value in strings(payload.get("tool_input") or {{}}):
+    hit = blocked(value, cwd)
+    if hit is not None:
+        print(json.dumps({{
+            "hookSpecificOutput": {{
+                "hookEventName": "PreToolUse",
+                "permissionDecision": "deny",
+                "permissionDecisionReason": "acumen blocks access to isolated benchmark data: " + hit,
+            }}
+        }}))
+        raise SystemExit(0)
+"""
+
+
+def _install_codex_guard(options: AgentOptions) -> None:
+    """Install a trusted, run-local Codex guard when isolation needs a deny boundary."""
+    if not options.deny_paths:
+        return
+    codex_home = Path(options.env["CODEX_HOME"])
+    script = codex_home / "acumen_guard.py"
+    script.parent.mkdir(parents=True, exist_ok=True)
+    script.write_text(_codex_guard_source(options.deny_paths))
+    hooks_dir = options.cwd / ".codex"
+    hooks_dir.mkdir(parents=True, exist_ok=True)
+    hooks = {
+        "description": "acumen run isolation",
+        "hooks": {
+            "PreToolUse": [
+                {
+                    "matcher": "*",
+                    "hooks": [
+                        {
+                            "type": "command",
+                            "command": f"{shlex.quote(sys.executable)} {shlex.quote(str(script))}",
+                            "timeout": 10,
+                        }
+                    ],
+                }
+            ]
+        },
+    }
+    (hooks_dir / "hooks.json").write_text(json.dumps(hooks, indent=2) + "\n")
+
+
+#: Item types that count as one model action. ``codex exec`` runs the whole prompt as a single
+#: turn — one ``turn.started``/``turn.completed`` pair however much work happens inside it — so
+#: counting turns would record 1 for every run. A completed item is the closest analogue to a
+#: Claude turn, and it is the unit :attr:`AgentOptions.max_turns` is enforced in. ``reasoning``
+#: and ``todo_list`` items are the model's own narration and bookkeeping, not actions, so they
+#: do not count.
+_TURN_ITEM_TYPES = frozenset({"agent_message", "command_execution", "file_change", "mcp_tool_call", "web_search"})
+
+#: Terminal subtypes for a cap acumen enforced itself. They deliberately reuse the strings the
+#: Claude CLI reports for its own caps, so a breach maps onto the same reason for both providers.
+_MAX_TURNS_SUBTYPE = "error_max_turns"
+_MAX_BUDGET_SUBTYPE = "error_max_budget_usd"
+
+
+def _is_turn_item(event: dict[str, Any]) -> bool:
+    """Whether ``event`` is one completed model action — the unit Codex turns are counted in."""
+    if event.get("type") != "item.completed":
+        return False
+    item = event.get("item")
+    return isinstance(item, dict) and item.get("type") in _TURN_ITEM_TYPES
+
+
+def _codex_terminal(
+    events: Sequence[dict[str, Any]],
+    returncode: int,
+    duration_ms: int,
+    capped: str | None = None,
+) -> AgentResult:
+    session_id: str | None = None
+    final = ""
+    usage: dict[str, int] = {}
+    errors: list[str] = []
+    subtype = "success"
+    turns = 0
+    for event in events:
+        kind = event.get("type")
+        if _is_turn_item(event):
+            turns += 1
+        if kind == "thread.started":
+            value = event.get("thread_id")
+            session_id = str(value) if value else None
+        elif kind == "item.completed":
+            item = event.get("item")
+            if isinstance(item, dict) and item.get("type") == "agent_message":
+                text = item.get("text")
+                if isinstance(text, str):
+                    final = text
+        elif kind == "turn.completed":
+            raw = event.get("usage")
+            if isinstance(raw, dict):
+                usage = {str(key): int(value or 0) for key, value in raw.items() if isinstance(value, int | float)}
+        elif kind in {"error", "turn.failed"}:
+            subtype = str(event.get("type"))
+            detail = event.get("message") or event.get("error")
+            errors.append(str(detail or event))
+
+    if capped is not None:
+        # We terminated the process on purpose, so its non-zero status is ours and must not be
+        # reported as a codex failure. The partial transcript is kept: it is the evidence of
+        # what the run spent the cap on.
+        is_error = True
+        subtype = capped
+        errors.append(
+            "acumen stopped the run at its turn cap"
+            if capped == _MAX_TURNS_SUBTYPE
+            else "acumen stopped the run at its budget cap"
+        )
+    else:
+        is_error = returncode != 0 or bool(errors)
+        if returncode != 0 and not errors:
+            errors.append(f"codex exited with status {returncode}")
+    return AgentResult(
+        provider="codex",
+        is_error=is_error,
+        subtype=subtype if is_error else "success",
+        errors=errors or None,
+        session_id=session_id,
+        result=final,
+        num_turns=turns,
+        # Codex's JSONL protocol reports tokens, not a billed dollar amount.
+        total_cost_usd=None,
+        duration_ms=duration_ms,
+        usage=usage,
+        transcript=list(events),
+    )
+
+
+async def _drain_stderr(
+    stream: asyncio.StreamReader,
+    callback: Callable[[str], None] | None,
+) -> None:
+    while line := await stream.readline():
+        text = line.decode(errors="replace").rstrip("\r\n")
+        if callback is not None:
+            callback(text)
+        else:
+            print(text, file=sys.stderr, flush=True)
+
+
+def _cap_breach(event: dict[str, Any], options: AgentOptions, turns: int) -> str | None:
+    """Return the cap ``event`` breached, or ``None``.
+
+    ``codex exec`` has no turn or budget cap of its own, so acumen enforces both against the
+    event stream and terminates the process on a breach. The two caps are enforced at different
+    resolutions, and the difference matters:
+
+    * ``max_turns`` is checked as each model action completes, so the run really is stopped at
+      the cap — the agent gets ``max_turns`` actions and no more. The cost of stopping mid-turn
+      is that ``turn.completed`` never arrives, so a turn-capped run reports no usage and is
+      priced at zero; it is a failed run either way, but its tokens are not recoverable.
+    * ``max_usd`` can only be checked when usage is reported, and Codex reports it once, in
+      ``turn.completed``, at the end of the turn. A single-turn ``codex exec`` therefore has
+      already spent the money by the time the breach is visible: the cap makes the *outcome*
+      honest — the run is recorded as a budget failure, exactly as it would be for Claude —
+      but it cannot prevent the overspend. Bound Codex spend with ``max_turns`` instead.
+    """
+    if options.max_turns is not None and _is_turn_item(event) and turns >= options.max_turns:
+        return _MAX_TURNS_SUBTYPE
+    if options.max_usd is None or options.price_usd is None or event.get("type") != "turn.completed":
+        return None
+    usage = event.get("usage")
+    if not isinstance(usage, dict):
+        return None
+    spent = options.price_usd(usage)
+    return _MAX_BUDGET_SUBTYPE if spent is not None and spent > options.max_usd else None
+
+
+async def _run_codex(
+    prompt: str,
+    options: AgentOptions,
+    on_event: Callable[[Any], None] | None,
+) -> AgentResult:
+    _install_codex_guard(options)
+    started = time.monotonic()
+    process = await asyncio.create_subprocess_exec(
+        *_codex_command(options, prompt),
+        stdin=asyncio.subprocess.DEVNULL,
+        stdout=asyncio.subprocess.PIPE,
+        stderr=asyncio.subprocess.PIPE,
+        env=options.env,
+    )
+    assert process.stdout is not None
+    assert process.stderr is not None
+    stderr_task = asyncio.create_task(_drain_stderr(process.stderr, options.stderr))
+    events: list[dict[str, Any]] = []
+    turns = 0
+    capped: str | None = None
+    try:
+        while line := await process.stdout.readline():
+            try:
+                event = json.loads(line)
+            except json.JSONDecodeError:
+                event = {"type": "error", "message": line.decode(errors="replace").strip()}
+            if not isinstance(event, dict):
+                continue
+            events.append(event)
+            if on_event is not None:
+                on_event(event)
+            if _is_turn_item(event):
+                turns += 1
+            capped = _cap_breach(event, options, turns)
+            if capped is not None:
+                process.terminate()
+                break
+        returncode = await process.wait()
+        await stderr_task
+    except BaseException:
+        process.terminate()
+        await process.wait()
+        stderr_task.cancel()
+        raise
+    duration_ms = round((time.monotonic() - started) * 1000)
+    return _codex_terminal(events, returncode, duration_ms, capped)
+
+
+async def run_agent(
+    prompt: str,
+    *,
+    options: AgentOptions,
+    on_event: Callable[[Any], None] | None = None,
+) -> AgentResult:
+    """Run one Claude or Codex agent, selected from ``options.model``."""
+    provider = provider_for_model(options.model)
+    if provider == "claude":
+        return await _run_claude(prompt, options, on_event)
+    return await _run_codex(prompt, options, on_event)
diff --git a/src/acumen/bench.py b/src/acumen/bench.py
index 676fe4f..f91552c 100644
--- a/src/acumen/bench.py
+++ b/src/acumen/bench.py
@@ -3,13 +3,15 @@
 from __future__ import annotations
 
 import asyncio
-from collections.abc import Callable, Iterable, Sequence
+from collections.abc import Callable, Iterable, Mapping, Sequence
 from dataclasses import dataclass
 from pathlib import Path
 
+from acumen.agents import AgentProvider, provider_for_model
 from acumen.config import Config
 from acumen.env import AuthMode, Target
 from acumen.paths import SPLITS, RunKey, Split, arm_name, is_complete, run_dir
+from acumen.prices import Rates
 from acumen.runner import RunOutcome, run_once
 from acumen.skills import Skill
 from acumen.tasks import Task
@@ -106,6 +108,8 @@ async def run_matrix(
     runs_root: Path,
     max_concurrency: int,
     auth_mode: AuthMode = "api",
+    auth_modes: Mapping[AgentProvider, AuthMode] | None = None,
+    price_overrides: dict[str, Rates] | None = None,
     skill: Skill | None = None,
     skill_name: str | None = None,
     sandbox_base: Path | None = None,
@@ -177,13 +181,14 @@ async def one(item: PlannedRun) -> RunOutcome:
                 model=item.model,
                 max_turns=item.max_turns,
                 max_usd=item.max_usd,
-                auth_mode=auth_mode,
+                auth_mode=(auth_modes or {}).get(provider_for_model(item.model), auth_mode),
                 skill=skill,
                 skill_name=skill_name,
                 sandbox_base=sandbox_base,
                 keep_sandbox=keep_sandbox,
                 stderr=stderr,
                 env_passthrough=env_passthrough,
+                price_overrides=price_overrides,
             )
             if on_done is not None:
                 on_done(outcome)
diff --git a/src/acumen/cli.py b/src/acumen/cli.py
index 1a3d7e7..37c8a08 100644
--- a/src/acumen/cli.py
+++ b/src/acumen/cli.py
@@ -7,8 +7,10 @@
 import sys
 import time
 from dataclasses import replace
+from datetime import date
 from pathlib import Path
 
+from acumen.agents import AgentError, AgentProvider, check_agent_cli, provider_for_model
 from acumen.bench import build_matrix, pending, run_matrix, summarize
 from acumen.config import ConfigError, load_config
 from acumen.draft import DraftError, draft_skill
@@ -16,6 +18,16 @@
 from acumen.improve import ImproveError, improve_skill
 from acumen.logs import LiveLog
 from acumen.paths import SPLITS
+from acumen.pricefeed import (
+    PRICE_SOURCES,
+    PRICE_TIER,
+    PriceFeedError,
+    diff_rates,
+    refresh,
+    shipped_rates,
+    to_yaml_block,
+)
+from acumen.prices import DEFAULT_RATES, RATES_AS_OF, Rates, resolve_rates
 from acumen.report import ReportError, build_report
 from acumen.runner import RunOutcome, StderrFilter
 from acumen.scaffold import InitError, scaffold
@@ -66,31 +78,64 @@ def _add_feedback_arg(parser: argparse.ArgumentParser, *, extra: str = "") -> No
 def _add_auth_arg(parser: argparse.ArgumentParser) -> None:
     """Add the ``--auth`` flag to a single-agent subcommand.
 
-    These commands spawn one agent, so they default to the Claude subscription ("session")
-    when a subscription login is present and fall back to the API key otherwise. ``bench`` has
+    These commands spawn one agent, so they default to the provider subscription ("session")
+    when a login is present and fall back to the API key otherwise. ``bench`` has
     no such flag — it always bills the API so its recorded ``cost_usd`` is real.
     """
     parser.add_argument(
         "--auth",
         choices=("auto", "session", "api"),
         default="auto",
-        help="which credential to bill: 'session' (Claude subscription), 'api' (Anthropic API), "
+        help="which credential to bill: 'session' (Claude/Codex subscription), 'api' (provider API), "
         "or 'auto' (default: session if you're logged in, else the API)",
     )
 
 
-def _print_auth(mode: AuthMode) -> None:
+def _print_auth(mode: AuthMode, provider: AgentProvider = "claude") -> None:
     """Report which credential the run will bill, so the choice is never silent."""
-    label = "Claude subscription (session)" if mode == "session" else "API key"
+    product = "Claude" if provider == "claude" else "Codex"
+    label = f"{product} subscription (session)" if mode == "session" else f"{product} API key"
     print(f"auth: {label}", flush=True)
 
 
+def _warn_codex_accounting(provider: AgentProvider) -> None:
+    """Say what a Codex cap can and cannot do before the spend, not after.
+
+    ``codex exec`` has no cap of its own, so acumen enforces both against the event stream.
+    That works exactly as advertised for turns, which stream. Usage does not: Codex reports it
+    once, when the turn ends, so ``max_usd`` can only be recognized after the money is spent.
+    It still records the run as a budget failure — the same outcome Claude would give it — but
+    the only cap that actually *bounds* a Codex run is ``max_turns``.
+    """
+    if provider == "codex":
+        print(
+            "note: Codex reports usage only when a turn ends, so max_usd marks an over-budget "
+            "run as a failure but cannot stop the spend — bound Codex runs with max_turns",
+            file=sys.stderr,
+        )
+
+
+def _warn_unpriced(models: set[str], overrides: dict[str, Rates]) -> None:
+    """Name models with no rates before the spend, not after.
+
+    An unpriced model still records its tokens; only ``cost_usd`` is left unset. Saying so
+    up front is what stops a missing rate from reading as a free model in the report.
+    """
+    unpriced = sorted(model for model in models if resolve_rates(model, overrides) is None)
+    if unpriced:
+        print(
+            f"note: no token rates for {', '.join(unpriced)} — these runs record tokens but no cost. "
+            f"Add a 'prices:' entry in config.yaml to price them (rates as of {RATES_AS_OF}).",
+            file=sys.stderr,
+        )
+
+
 def _print_log_result(log: LiveLog) -> None:
     """Print where the rendered HTML log landed, once a run has finalized."""
     if log.html_rendered:
         print(f"log → {log.html_path}")
     else:
-        print("note: HTML log not rendered (claude-code-log missing?) — the jsonl log is complete", file=sys.stderr)
+        print("note: HTML log not rendered — the jsonl log is complete", file=sys.stderr)
 
 
 def _fmt_secs(seconds: float) -> str:
@@ -150,7 +195,8 @@ def on_done(self, outcome: RunOutcome) -> None:
         toks = int(p.get("input_tokens", 0)) + int(p.get("output_tokens", 0))
         cost = float(p.get("cost_usd", 0.0))
         dur = _fmt_secs(float(p.get("duration_s", 0.0)))
-        stats = f"{_fmt_tokens(toks)}tok ${cost:.2f} {dur}"
+        cost_label = f"${cost:.2f}" if p.get("cost_available", True) else "cost n/a"
+        stats = f"{_fmt_tokens(toks)}tok {cost_label} {dur}"
         print(
             f"[{self._stamp()}] {mark} {_key_label(outcome.key)}"
             f"  ({outcome.reason})  {stats}"
@@ -197,7 +243,12 @@ def _cmd_bench(args: argparse.Namespace) -> int:
         return 0
 
     # bench records real per-run cost, so it must bill the API — never the subscription.
-    auth_mode = resolve_auth_mode("api", allow_session=False)
+    providers = {provider_for_model(item.model) for item in todo}
+    auth_modes = {provider: resolve_auth_mode("api", allow_session=False, provider=provider) for provider in providers}
+    for provider in sorted(providers):
+        check_agent_cli(provider)
+        _warn_codex_accounting(provider)
+    _warn_unpriced({item.model for item in todo}, cfg.prices)
     print(f"preparing target {cfg.repo}@{cfg.ref} ...", flush=True)
     target = prepare_target(cfg, args.cache, refresh=args.refresh_target)
     print(f"target ready: {target.fingerprint} @ {target.commit[:8]} (venv {target.venv_dir})", flush=True)
@@ -210,7 +261,7 @@ def _cmd_bench(args: argparse.Namespace) -> int:
             target=target,
             runs_root=args.runs,
             max_concurrency=cfg.max_concurrency,
-            auth_mode=auth_mode,
+            auth_modes=auth_modes,
             skill=skill,
             skill_name=cfg.skill_name,
             keep_sandbox=args.keep_sandboxes,
@@ -218,6 +269,7 @@ def _cmd_bench(args: argparse.Namespace) -> int:
             on_start=progress.on_start,
             on_done=progress.on_done,
             env_passthrough=cfg.env_passthrough,
+            price_overrides=cfg.prices,
         )
     )
 
@@ -225,7 +277,11 @@ def _cmd_bench(args: argparse.Namespace) -> int:
     counts = summarize(outcomes)
     breakdown = ", ".join(f"{reason}={n}" for reason, n in sorted(counts.items()))
     total_cost = sum(float(o.payload.get("cost_usd", 0.0)) for o in outcomes)
-    print(f"\n{passed}/{len(outcomes)} passed in {_fmt_secs(progress.elapsed)}  (${total_cost:.2f}, {breakdown})")
+    unpriced = sum(not o.payload.get("cost_available", True) for o in outcomes)
+    cost_summary = f"${total_cost:.2f}"
+    if unpriced:
+        cost_summary += f" + {unpriced} unpriced run(s)"
+    print(f"\n{passed}/{len(outcomes)} passed in {_fmt_secs(progress.elapsed)}  ({cost_summary}, {breakdown})")
 
     # The comparison is only meaningful if the skill actually reached the agent, so say
     # so rather than leaving it to be discovered later in the transcripts.
@@ -258,8 +314,11 @@ def _cmd_draft(args: argparse.Namespace) -> int:
         )
         return 2
 
-    auth_mode = resolve_auth_mode(args.auth, allow_session=True)
-    _print_auth(auth_mode)
+    provider = provider_for_model(cfg.draft_model)
+    check_agent_cli(provider)
+    auth_mode = resolve_auth_mode(args.auth, allow_session=True, provider=provider)
+    _print_auth(auth_mode, provider)
+    _warn_codex_accounting(provider)
     print(f"preparing target {cfg.repo}@{cfg.ref} ...", flush=True)
     target = prepare_target(cfg, args.cache, refresh=args.refresh_target)
     print(f"target ready: {target.fingerprint} @ {target.commit[:8]}", flush=True)
@@ -312,8 +371,11 @@ def _cmd_improve(args: argparse.Namespace) -> int:
     skill = load_skill(args.skills, parent, expect_name=cfg.skill_name)
     print(f"improving {skill.version} ({skill.name}, {skill.hash[:19]}…) with {cfg.improve_model}")
 
-    auth_mode = resolve_auth_mode(args.auth, allow_session=True)
-    _print_auth(auth_mode)
+    provider = provider_for_model(cfg.improve_model)
+    check_agent_cli(provider)
+    auth_mode = resolve_auth_mode(args.auth, allow_session=True, provider=provider)
+    _print_auth(auth_mode, provider)
+    _warn_codex_accounting(provider)
     print(f"preparing target {cfg.repo}@{cfg.ref} ...", flush=True)
     target = prepare_target(cfg, args.cache, refresh=args.refresh_target)
     print(f"target ready: {target.fingerprint} @ {target.commit[:8]}", flush=True)
@@ -369,8 +431,11 @@ def _cmd_tasks(args: argparse.Namespace) -> int:
         )
         return 2
 
-    auth_mode = resolve_auth_mode(args.auth, allow_session=True)
-    _print_auth(auth_mode)
+    provider = provider_for_model(cfg.tasks_model)
+    check_agent_cli(provider)
+    auth_mode = resolve_auth_mode(args.auth, allow_session=True, provider=provider)
+    _print_auth(auth_mode, provider)
+    _warn_codex_accounting(provider)
     print(f"preparing target {cfg.repo}@{cfg.ref} ...", flush=True)
     target = prepare_target(cfg, args.cache, refresh=args.refresh_target)
     print(f"target ready: {target.fingerprint} @ {target.commit[:8]}", flush=True)
@@ -417,8 +482,11 @@ def _cmd_ship(args: argparse.Namespace) -> int:
         else ("a GitHub URL — the change is delivered as a pull request")
     )
     print(f"shipping {args.version} of {cfg.skill_name} into {cfg.repo} ({where})")
-    auth_mode = resolve_auth_mode(args.auth, allow_session=True)
-    _print_auth(auth_mode)
+    provider = provider_for_model(cfg.ship_model)
+    check_agent_cli(provider)
+    auth_mode = resolve_auth_mode(args.auth, allow_session=True, provider=provider)
+    _print_auth(auth_mode, provider)
+    _warn_codex_accounting(provider)
     print(f"preparing target {cfg.repo}@{cfg.ref} ...", flush=True)
     target = prepare_target(cfg, args.cache, refresh=args.refresh_target)
     print(f"target ready: {target.fingerprint} @ {target.commit[:8]}", flush=True)
@@ -499,10 +567,61 @@ def _cmd_init(args: argparse.Namespace) -> int:
     return 0
 
 
+def _cmd_prices(args: argparse.Namespace) -> int:
+    """Show the token rates cost is computed from, and optionally re-check them upstream."""
+    overrides: dict[str, Rates] = {}
+    if args.config.is_file():
+        overrides = load_config(args.config).prices
+
+    if not args.refresh:
+        print(f"rates (USD per million tokens), verified {RATES_AS_OF} — {PRICE_TIER}")
+        for model, rates in sorted({**DEFAULT_RATES, **overrides}.items()):
+            source = "config" if model in overrides else "built-in"
+            print(
+                f"  {model:28} in ${rates.input:<7} cached ${rates.cached_input:<7} "
+                f"write ${rates.cache_write:<7} out ${rates.output:<7} ({source})"
+            )
+        print("\nre-check against the providers' pricing pages with: acumen prices --refresh")
+        return 0
+
+    for name, url in PRICE_SOURCES.items():
+        print(f"fetching {name}: {url}", flush=True)
+    fetched = refresh(today=date.today())
+
+    current = {**shipped_rates(), **overrides}
+    # Default to the models actually in play — the pages list every model each provider
+    # has ever sold, and a wall of irrelevant diffs is a wall nobody reads.
+    if not args.all:
+        relevant = set(current) | (
+            {m.strip().lower() for m in load_config(args.config).models} if args.config.is_file() else set()
+        )
+        fetched = {model: rates for model, rates in fetched.items() if model in relevant}
+    changes = diff_rates(current, fetched)
+
+    if not changes:
+        print(f"\nup to date — {len(fetched)} model(s) match the table verified {RATES_AS_OF}")
+        return 0
+
+    print(f"\n{len(changes)} change(s) against the table verified {RATES_AS_OF} ({PRICE_TIER}):")
+    for change in changes:
+        print(change.describe())
+
+    block = to_yaml_block({change.model: change.after for change in changes})
+    if args.out is not None:
+        args.out.write_text(block)
+        print(f"\nwrote {args.out} — merge its 'prices:' block into config.yaml to adopt these")
+    else:
+        print("\nadopt by adding to config.yaml (or re-run with --out PATH):\n")
+        print(block, end="")
+    # Nothing is applied automatically: a mis-parsed tier or context band would otherwise
+    # silently re-price every future run.
+    return 0
+
+
 def build_parser() -> argparse.ArgumentParser:
     """Build the ``acumen`` argument parser."""
     parser = argparse.ArgumentParser(
-        prog="acumen", description="Build, benchmark, and optimize Claude skills for Python packages."
+        prog="acumen", description="Build, benchmark, and optimize agentic skills for Python packages."
     )
     sub = parser.add_subparsers(dest="command", required=True)
     bench = sub.add_parser("bench", help="run a benchmark pass")
@@ -585,6 +704,13 @@ def build_parser() -> argparse.ArgumentParser:
     )
     report.set_defaults(func=_cmd_report)
 
+    prices = sub.add_parser("prices", help="show the token rates cost is computed from, or re-check them")
+    prices.add_argument("--config", type=Path, default=Path("config.yaml"), help="path to config.yaml (for overrides)")
+    prices.add_argument("--refresh", action="store_true", help="fetch the providers' pricing pages and diff them")
+    prices.add_argument("--all", action="store_true", help="with --refresh, report every model, not just yours")
+    prices.add_argument("--out", type=Path, default=None, help="with --refresh, write the 'prices:' block here")
+    prices.set_defaults(func=_cmd_prices)
+
     init = sub.add_parser("init", help="scaffold a starter config.yaml and tasks.yaml")
     init.add_argument("--dir", type=Path, default=Path("."), dest="directory", help="directory to scaffold into")
     init.add_argument("--force", action="store_true", help="overwrite existing config.yaml / tasks.yaml")
@@ -607,6 +733,8 @@ def main(argv: list[str] | None = None) -> int:
         ConfigError,
         TaskError,
         EnvError,
+        AgentError,
+        PriceFeedError,
         SkillError,
         DraftError,
         ImproveError,
diff --git a/src/acumen/config.py b/src/acumen/config.py
index 01c77c3..708dbbb 100644
--- a/src/acumen/config.py
+++ b/src/acumen/config.py
@@ -9,6 +9,7 @@
 import yaml
 
 from .paths import PathError, slugify
+from .prices import Rates
 
 
 class ConfigError(ValueError):
@@ -42,6 +43,11 @@ class Config:
     improve_model: str = "claude-opus-5"
     tasks_model: str = "claude-opus-5"
     ship_model: str = "claude-opus-5"
+    #: Per-model token rates (USD per million), overriding or extending the built-in table
+    #: in :mod:`acumen.prices`. Name a model here when you are on negotiated rates, run
+    #: through a gateway, or use a model acumen does not ship a price for — an unpriced
+    #: model still records its tokens, but its ``cost_usd`` is left unset rather than zero.
+    prices: dict[str, Rates] = field(default_factory=dict)
 
     @property
     def is_local(self) -> bool:
@@ -67,6 +73,7 @@ def is_local(self) -> bool:
     "tasks_model",
     "ship_model",
     "skill_name",
+    "prices",
 }
 
 
@@ -129,6 +136,24 @@ def _str_list(raw: dict[str, Any], key: str, default: list[str]) -> list[str]:
     return list(value)
 
 
+def _prices(raw: dict[str, Any]) -> dict[str, Rates]:
+    """Validate the optional ``prices:`` block into rates keyed by model ID."""
+    if "prices" not in raw:
+        return {}
+    value = raw["prices"]
+    if not isinstance(value, dict):
+        raise ConfigError(f"'prices' must be a mapping of model to rates, got {value!r}")
+    table: dict[str, Rates] = {}
+    for model, rates in value.items():
+        if not isinstance(model, str) or not model.strip():
+            raise ConfigError(f"'prices' keys must be non-empty model IDs, got {model!r}")
+        try:
+            table[model.strip().lower()] = Rates.from_mapping(rates, model=model)
+        except ValueError as err:
+            raise ConfigError(f"'prices': {err}") from err
+    return table
+
+
 def parse_config(raw: Any) -> Config:
     """Validate an already-parsed ``config.yaml`` document.
 
@@ -175,6 +200,7 @@ def parse_config(raw: Any) -> Config:
         improve_model=_optional_str(raw, "improve_model", default_model),
         tasks_model=_optional_str(raw, "tasks_model", default_model),
         ship_model=_optional_str(raw, "ship_model", default_model),
+        prices=_prices(raw),
     )
 
 
diff --git a/src/acumen/draft.py b/src/acumen/draft.py
index 4b7553a..c40423d 100644
--- a/src/acumen/draft.py
+++ b/src/acumen/draft.py
@@ -17,11 +17,11 @@
 from dataclasses import dataclass
 from pathlib import Path
 
-from claude_agent_sdk import ClaudeAgentOptions, ResultMessage, query
-
+from acumen.agents import AgentOptions, AgentResult, provider_for_model, run_agent
 from acumen.config import Config
 from acumen.env import AuthMode, Target, build_agent_env
 from acumen.logs import LiveLog
+from acumen.prices import pricer
 from acumen.procs import label_env, reap
 from acumen.prompts import draft_prompt
 from acumen.skills import (
@@ -119,7 +119,9 @@ async def draft_skill(
         work = holder / "work"
         staging = work / version
         home = holder / "home"
-        config_dir = home / ".claude"
+        selected_model = model or cfg.draft_model
+        provider = provider_for_model(selected_model)
+        config_dir = home / (".claude" if provider == "claude" else ".codex")
         for path in (staging, home, config_dir, home / "tmp"):
             path.mkdir(parents=True, exist_ok=True)
 
@@ -131,6 +133,7 @@ async def draft_skill(
                 extra_path=[target.bin_dir],
                 auth_mode=auth_mode,
                 extra_allow=cfg.env_passthrough,
+                provider=provider,
             ),
             holder,
         )
@@ -144,29 +147,29 @@ async def draft_skill(
             skill_name=cfg.skill_name,
             feedback=feedback,
         )
-        options = ClaudeAgentOptions(
-            cwd=str(work),
+        options = AgentOptions(
+            cwd=work,
             env=env,
-            model=model or cfg.draft_model,
+            model=selected_model,
             # No default turn or budget cap: only bound the agent if the caller asked. The
             # config's ``max_turns``/``max_usd`` cap benchmark agents only.
             max_turns=max_turns,
-            max_budget_usd=max_usd,
+            max_usd=max_usd,
+            # Codex reports no billed figure, so a budget cap needs the run's own rate table.
+            price_usd=pricer(selected_model, cfg.prices),
             # The drafter reads the target source; benchmark agents never do.
-            add_dirs=[str(target.src_dir)],
-            setting_sources=["project"],
-            permission_mode="bypassPermissions",
-            system_prompt={"type": "preset", "preset": "claude_code"},
+            add_dirs=(target.src_dir,),
+            discover_skills=True,
         )
 
-        result: ResultMessage | None = None
+        result: AgentResult | None = None
         agent_error: Exception | None = None
         try:
-            async for message in query(prompt=prompt, options=options):
-                if log is not None:
-                    log.append(message)
-                if isinstance(message, ResultMessage):
-                    result = message
+            result = await run_agent(
+                prompt,
+                options=options,
+                on_event=log.append if log is not None else None,
+            )
         except Exception as err:  # noqa: BLE001 - a failed draft is an error to report, re-raised below
             agent_error = err
         finally:
diff --git a/src/acumen/env.py b/src/acumen/env.py
index 67dc0b3..fdcb12f 100644
--- a/src/acumen/env.py
+++ b/src/acumen/env.py
@@ -24,6 +24,7 @@
 from pathlib import Path
 from typing import Literal
 
+from acumen.agents import AgentProvider
 from acumen.config import Config
 from acumen.paths import slugify
 
@@ -49,6 +50,9 @@
     "ANTHROPIC_VERTEX_PROJECT_ID",
     "CLOUD_ML_REGION",
     "GOOGLE_APPLICATION_CREDENTIALS",
+    "CODEX_API_KEY",
+    "OPENAI_API_KEY",
+    "OPENAI_BASE_URL",
     "HTTP_PROXY",
     "HTTPS_PROXY",
     "NO_PROXY",
@@ -238,6 +242,17 @@ def claude_cli_dir() -> Path | None:
     return Path(found).parent if found else None
 
 
+def codex_cli_dir() -> Path | None:
+    """Return the directory holding the ``codex`` CLI."""
+    found = shutil.which("codex")
+    return Path(found).parent if found else None
+
+
+def agent_cli_dir(provider: AgentProvider) -> Path | None:
+    """Return the directory holding the selected provider's CLI."""
+    return claude_cli_dir() if provider == "claude" else codex_cli_dir()
+
+
 #: Allowlisted variables that, present and non-empty, let a run authenticate on their own:
 #: a direct Anthropic key/token, or a flag routing to a cloud provider whose own (AWS/GCP)
 #: credentials then apply. A subset of :data:`ENV_ALLOWLIST` — the entries that carry or
@@ -270,6 +285,8 @@ def claude_cli_dir() -> Path | None:
 #: Kept in ``"session"`` mode and dropped in ``"api"`` mode so exactly one auth path is live.
 SESSION_AUTH_ENV_VAR = "CLAUDE_CODE_OAUTH_TOKEN"
 
+CODEX_API_AUTH_ENV_VARS = ("CODEX_API_KEY", "OPENAI_API_KEY")
+
 
 def _credentials_path() -> Path:
     """The user's Claude OAuth credentials file — what :func:`seed_credentials` copies."""
@@ -277,36 +294,13 @@ def _credentials_path() -> Path:
     return Path(base) / ".credentials.json"
 
 
-def auth_available() -> bool:
-    """Whether an agent run could authenticate to the Claude API.
+def _codex_home() -> Path:
+    """The user's real Codex home, which contains ``auth.json``."""
+    return Path(os.environ.get("CODEX_HOME") or Path.home() / ".codex")
 
-    A run gets its credential one of two ways: an allowlisted auth variable in the
-    environment (a direct Anthropic key/token, or a Bedrock/Vertex routing flag whose own
-    cloud credentials then apply), or a Claude credentials file that
-    :func:`seed_credentials` copies into the throwaway config dir (an OAuth login). An
-    empty variable does not count.
-    """
-    if any(os.environ.get(var) for var in AUTH_ENV_VARS):
-        return True
-    return _credentials_path().is_file()
 
-
-def check_auth() -> None:
-    """Raise :class:`EnvError` if no credential is reachable for an agent run.
-
-    A preflight guard for the agentic commands. Without it an unauthenticated ``bench``
-    would run the whole matrix, record every run as an ``error``, and still exit 0, while
-    the meta-agents (``draft``/``improve``/``tasks``/``ship``) would fail deep in the SDK
-    with a raw message — so fail early, before the costly target prep, with a clear fix.
-    """
-    if auth_available():
-        return
-    raise EnvError(
-        "no Claude credentials found — an agent run cannot authenticate. Set "
-        "ANTHROPIC_API_KEY (or ANTHROPIC_AUTH_TOKEN / CLAUDE_CODE_OAUTH_TOKEN), enable a "
-        "provider with CLAUDE_CODE_USE_BEDROCK / CLAUDE_CODE_USE_VERTEX, or log in with "
-        "`claude` so ~/.claude/.credentials.json exists."
-    )
+def _codex_credentials_path() -> Path:
+    return _codex_home() / "auth.json"
 
 
 def _has_oauth_credentials() -> bool:
@@ -324,18 +318,20 @@ def _has_oauth_credentials() -> bool:
     return isinstance(data.get("claudeAiOauth"), dict)
 
 
-def session_auth_available() -> bool:
+def session_auth_available(provider: AgentProvider = "claude") -> bool:
     """Whether an agent run could bill the Claude subscription ("session usage").
 
     True when a portable ``CLAUDE_CODE_OAUTH_TOKEN`` is set, or the user has a subscription
     OAuth login on disk (:func:`_has_oauth_credentials`). An empty variable does not count.
     """
+    if provider == "codex":
+        return _codex_credentials_path().is_file()
     if os.environ.get(SESSION_AUTH_ENV_VAR):
         return True
     return _has_oauth_credentials()
 
 
-def api_auth_available() -> bool:
+def api_auth_available(provider: AgentProvider = "claude") -> bool:
     """Whether an agent run could bill the Anthropic API (or a cloud provider) per token.
 
     True when any metered auth variable is set (:data:`API_AUTH_ENV_VARS`): a direct
@@ -343,10 +339,16 @@ def api_auth_available() -> bool:
     apply. The subscription OAuth token is deliberately excluded — it bills the plan, not
     the API. An empty variable does not count.
     """
-    return any(os.environ.get(var) for var in API_AUTH_ENV_VARS)
+    variables = API_AUTH_ENV_VARS if provider == "claude" else CODEX_API_AUTH_ENV_VARS
+    return any(os.environ.get(var) for var in variables)
 
 
-def resolve_auth_mode(requested: str, *, allow_session: bool) -> AuthMode:
+def resolve_auth_mode(
+    requested: str,
+    *,
+    allow_session: bool,
+    provider: AgentProvider = "claude",
+) -> AuthMode:
     """Resolve a requested auth choice to the concrete mode a run will use, or fail loudly.
 
     A preflight guard that replaces :func:`check_auth` on the agentic commands: it both
@@ -374,7 +376,11 @@ def resolve_auth_mode(requested: str, *, allow_session: bool) -> AuthMode:
                 "not available for it — the Claude subscription does not meter per-run spend. "
                 "Run the single-agent commands (draft/improve/tasks/ship) on the session instead."
             )
-        if not api_auth_available():
+        if not api_auth_available(provider):
+            if provider == "codex":
+                raise EnvError(
+                    "no API credential found — Codex bench must bill the API. Set CODEX_API_KEY (or OPENAI_API_KEY)."
+                )
             raise EnvError(
                 "no API credential found — bench must bill the API. Set ANTHROPIC_API_KEY (or "
                 "ANTHROPIC_AUTH_TOKEN), or enable a provider with CLAUDE_CODE_USE_BEDROCK / "
@@ -383,7 +389,12 @@ def resolve_auth_mode(requested: str, *, allow_session: bool) -> AuthMode:
         return "api"
 
     if requested == "session":
-        if not session_auth_available():
+        if not session_auth_available(provider):
+            if provider == "codex":
+                raise EnvError(
+                    "no Codex account login found for --auth session. Log in with `codex login` "
+                    "so ~/.codex/auth.json exists."
+                )
             raise EnvError(
                 "no Claude subscription login found for --auth session. Log in with `claude` so "
                 "~/.claude/.credentials.json exists, or set CLAUDE_CODE_OAUTH_TOKEN (from "
@@ -391,7 +402,9 @@ def resolve_auth_mode(requested: str, *, allow_session: bool) -> AuthMode:
             )
         return "session"
     if requested == "api":
-        if not api_auth_available():
+        if not api_auth_available(provider):
+            if provider == "codex":
+                raise EnvError("no API credential found for --auth api. Set CODEX_API_KEY (or OPENAI_API_KEY).")
             raise EnvError(
                 "no API credential found for --auth api. Set ANTHROPIC_API_KEY (or "
                 "ANTHROPIC_AUTH_TOKEN), or enable a provider with CLAUDE_CODE_USE_BEDROCK / "
@@ -401,10 +414,15 @@ def resolve_auth_mode(requested: str, *, allow_session: bool) -> AuthMode:
 
     # "auto": prefer the subscription (it's what the user is paying a flat rate for), fall
     # back to the metered API, and only then give up.
-    if session_auth_available():
+    if session_auth_available(provider):
         return "session"
-    if api_auth_available():
+    if api_auth_available(provider):
         return "api"
+    if provider == "codex":
+        raise EnvError(
+            "no Codex credentials found — log in with `codex login` (subscription), "
+            "or set CODEX_API_KEY / OPENAI_API_KEY (API)."
+        )
     raise EnvError(
         "no Claude credentials found — an agent run cannot authenticate. Log in with `claude` "
         "so ~/.claude/.credentials.json exists (subscription), or set ANTHROPIC_API_KEY (or "
@@ -435,13 +453,36 @@ def seed_credentials(config_dir: Path) -> bool:
     return True
 
 
-def _apply_auth_mode(env: dict[str, str], auth_mode: AuthMode | None) -> None:
-    """Neutralize the credential variables the chosen mode must not authenticate with.
+def seed_codex_credentials(config_dir: Path) -> bool:
+    """Copy only Codex's login token into an isolated ``CODEX_HOME``."""
+    real = _codex_credentials_path()
+    if not real.is_file():
+        return False
+    config_dir.mkdir(parents=True, exist_ok=True)
+    dest = config_dir / "auth.json"
+    shutil.copyfile(real, dest)
+    dest.chmod(0o600)
+    return True
 
-    So exactly one auth path is live: ``"session"`` neutralizes the metered API/cloud variables
-    and keeps the subscription OAuth token; ``"api"`` neutralizes the OAuth token and keeps the
-    metered ones. ``None`` leaves the allowlisted credentials untouched (the historical
-    behavior, for callers that don't select a mode).
+
+def _apply_auth_mode(
+    env: dict[str, str],
+    auth_mode: AuthMode | None,
+    provider: AgentProvider = "claude",
+) -> None:
+    """Neutralize the credential variables the chosen provider and mode must not authenticate with.
+
+    Two rules, in order. First, the *other* provider's credentials are blanked whatever the
+    mode: they can never authenticate this run, so allowlisting them would only carry the
+    operator's second API key into a web-enabled agent. Second, within the selected provider
+    exactly one auth path is left live: ``"session"`` neutralizes the metered API/cloud
+    variables and keeps the subscription login; ``"api"`` neutralizes the OAuth token and keeps
+    the metered ones. ``None`` leaves the selected provider's own credentials untouched (the
+    historical behavior, for callers that don't select a mode).
+
+    Codex has no session *variable* — its subscription login is the ``auth.json`` that
+    :func:`seed_codex_credentials` copies into the throwaway ``CODEX_HOME`` — so ``"session"``
+    there just blanks the API keys.
 
     The variables are set to ``""``, not deleted. The SDK builds the agent subprocess env as
     ``{**os.environ, **options.env}`` — it merges our mapping *over* the inherited environment —
@@ -449,14 +490,22 @@ def _apply_auth_mode(env: dict[str, str], auth_mode: AuthMode | None) -> None:
     silently authenticates with the wrong one. An explicit empty value overrides the inherited
     one, which the CLI reads as unset.
     """
-    if auth_mode == "session":
-        drop = API_AUTH_ENV_VARS
-    elif auth_mode == "api":
-        drop = (SESSION_AUTH_ENV_VAR,)
+    if provider == "claude":
+        drop = [*CODEX_API_AUTH_ENV_VARS]
+        if auth_mode == "session":
+            drop += API_AUTH_ENV_VARS
+        elif auth_mode == "api":
+            drop.append(SESSION_AUTH_ENV_VAR)
     else:
-        return
+        drop = [*API_AUTH_ENV_VARS, SESSION_AUTH_ENV_VAR]
+        if auth_mode == "session":
+            drop += CODEX_API_AUTH_ENV_VARS
     for var in drop:
         env[var] = ""
+    if provider == "codex" and auth_mode == "api":
+        # ``codex exec`` consumes CODEX_API_KEY. Accept the conventional OpenAI variable too
+        # and translate it here, without mutating the operator's shell.
+        env["CODEX_API_KEY"] = os.environ.get("CODEX_API_KEY") or os.environ.get("OPENAI_API_KEY", "")
 
 
 def scrubbed_env(
@@ -466,6 +515,7 @@ def scrubbed_env(
     extra_path: list[Path] | None = None,
     auth_mode: AuthMode | None = None,
     extra_allow: Sequence[str] | None = None,
+    provider: AgentProvider = "claude",
 ) -> dict[str, str]:
     """Build the environment an isolated agent runs under.
 
@@ -508,10 +558,10 @@ def scrubbed_env(
     """
     allow = (*ENV_ALLOWLIST, *(extra_allow or ()))
     env = {key: os.environ[key] for key in allow if key in os.environ}
-    _apply_auth_mode(env, auth_mode)
+    _apply_auth_mode(env, auth_mode, provider)
 
     path_parts = [str(p) for p in (extra_path or [])]
-    cli_dir = claude_cli_dir()
+    cli_dir = agent_cli_dir(provider)
     if cli_dir is not None:
         path_parts.append(str(cli_dir))
     node_dir = shutil.which("node")
@@ -526,6 +576,7 @@ def scrubbed_env(
     env["PATH"] = os.pathsep.join(seen)
     env["HOME"] = str(home)
     env["CLAUDE_CONFIG_DIR"] = str(config_dir)
+    env["CODEX_HOME"] = str(config_dir)
     # Skill discovery needs setting_sources=["project"], but project discovery
     # also walks UP from cwd and auto-loads every CLAUDE.md it passes. Verified: an agent
     # recited a canary planted in its sandbox's parent directory having made zero tool
@@ -557,6 +608,7 @@ def build_agent_env(
     extra_path: list[Path] | None = None,
     auth_mode: AuthMode,
     extra_allow: Sequence[str] | None = None,
+    provider: AgentProvider = "claude",
 ) -> dict[str, str]:
     """Prepare an isolated agent's environment for a resolved auth mode.
 
@@ -572,9 +624,17 @@ def build_agent_env(
     allowlist, for a target that needs one at runtime.
     """
     if auth_mode == "session":
-        seed_credentials(config_dir)
+        if provider == "claude":
+            seed_credentials(config_dir)
+        else:
+            seed_codex_credentials(config_dir)
     return scrubbed_env(
-        config_dir=config_dir, home=home, extra_path=extra_path, auth_mode=auth_mode, extra_allow=extra_allow
+        config_dir=config_dir,
+        home=home,
+        extra_path=extra_path,
+        auth_mode=auth_mode,
+        extra_allow=extra_allow,
+        provider=provider,
     )
 
 
@@ -588,13 +648,28 @@ def _default_cache_root() -> Path:
 
 
 def sdk_version() -> str:
-    """Return the installed ``claude-agent-sdk`` version, for the run fingerprint."""
+    """Return the installed ``claude-agent-sdk`` version, for the run fingerprint.
+
+    ``"unknown"`` on a Codex-only install, where the SDK is deliberately absent — the
+    fingerprint records what drove the run, and nothing Claude drove can be recorded here.
+    """
     from importlib.metadata import PackageNotFoundError, version
 
     try:
         return version("claude-agent-sdk")
-    except PackageNotFoundError:  # pragma: no cover - the SDK is a hard dependency
+    except PackageNotFoundError:
+        return "unknown"
+
+
+def agent_version(provider: AgentProvider) -> str:
+    """Return the installed provider runtime version for run fingerprints."""
+    if provider == "claude":
+        return sdk_version()
+    try:
+        output = _run(["codex", "--version"])
+    except EnvError:
         return "unknown"
+    return output.removeprefix("codex-cli ").strip()
 
 
 def python_version() -> str:
diff --git a/src/acumen/improve.py b/src/acumen/improve.py
index 9422a46..a356c22 100644
--- a/src/acumen/improve.py
+++ b/src/acumen/improve.py
@@ -25,10 +25,12 @@
 import tempfile
 from dataclasses import dataclass
 from pathlib import Path
-from typing import Any
+from typing import TYPE_CHECKING, Any
 
-from claude_agent_sdk import ClaudeAgentOptions, HookMatcher, ResultMessage, query
+if TYPE_CHECKING:
+    from claude_agent_sdk import HookMatcher
 
+from acumen.agents import AgentOptions, AgentResult, provider_for_model, run_agent
 from acumen.config import Config
 from acumen.env import AuthMode, Target, build_agent_env
 from acumen.logs import LiveLog
@@ -41,6 +43,7 @@
     arm_name,
     parse_run_dir,
 )
+from acumen.prices import pricer
 from acumen.procs import label_env, reap
 from acumen.prompts import improve_prompt
 from acumen.skills import (
@@ -348,6 +351,10 @@ def make_test_guard(runs_root: Path) -> HookMatcher:
     ``matcher=None`` fires the hook for every tool. The hook resolves paths against the real
     project ``runs/`` root, so it holds regardless of the agent's ``cwd``.
     """
+    # Imported here, not at module scope: the Claude SDK is an optional dependency and a
+    # Codex-only install never builds an SDK hook.
+    from claude_agent_sdk import HookMatcher
+
     root = runs_root.resolve()
 
     async def guard(input_data: dict[str, Any], tool_use_id: str | None, context: Any) -> dict[str, Any]:
@@ -475,7 +482,9 @@ async def improve_skill(
         train_dir = work / "train"
         rationale_path = work / "rationale.md"
         home = holder / "home"
-        config_dir = home / ".claude"
+        selected_model = model or cfg.improve_model
+        provider = provider_for_model(selected_model)
+        config_dir = home / (".claude" if provider == "claude" else ".codex")
         for path in (work, home, config_dir, home / "tmp"):
             path.mkdir(parents=True, exist_ok=True)
 
@@ -490,6 +499,7 @@ async def improve_skill(
                 extra_path=[target.bin_dir],
                 auth_mode=auth_mode,
                 extra_allow=cfg.env_passthrough,
+                provider=provider,
             ),
             holder,
         )
@@ -506,30 +516,34 @@ async def improve_skill(
             new_version=new_version,
             feedback=feedback,
         )
-        options = ClaudeAgentOptions(
-            cwd=str(work),
+        options = AgentOptions(
+            cwd=work,
             env=env,
-            model=model or cfg.improve_model,
+            model=selected_model,
             # No default turn or budget cap: only bound the agent if the caller asked. The
             # config's ``max_turns``/``max_usd`` cap benchmark agents only.
             max_turns=max_turns,
-            max_budget_usd=max_usd,
-            setting_sources=["project"],
-            permission_mode="bypassPermissions",
-            system_prompt={"type": "preset", "preset": "claude_code"},
+            max_usd=max_usd,
+            # Codex reports no billed figure, so a budget cap needs the run's own rate table.
+            price_usd=pricer(selected_model, cfg.prices),
+            discover_skills=True,
             # Belt-and-braces over the structural isolation: refuse any call that reaches a
-            # held-out test result, wherever the agent points it.
-            hooks={"PreToolUse": [make_test_guard(runs_root)]},
+            # held-out test result, wherever the agent points it. Built only for Claude — the
+            # hook is an SDK object, and Codex gets the equivalent from ``deny_paths`` below.
+            claude_hooks={"PreToolUse": [make_test_guard(runs_root)]} if provider == "claude" else None,
+            # Codex gets only the staged train evidence and is denied the original
+            # run tree wholesale, which includes every held-out test artifact.
+            deny_paths=(runs_root.resolve(),),
         )
 
-        result: ResultMessage | None = None
+        result: AgentResult | None = None
         agent_error: Exception | None = None
         try:
-            async for message in query(prompt=prompt, options=options):
-                if log is not None:
-                    log.append(message)
-                if isinstance(message, ResultMessage):
-                    result = message
+            result = await run_agent(
+                prompt,
+                options=options,
+                on_event=log.append if log is not None else None,
+            )
         except Exception as err:  # noqa: BLE001 - a failed improve is an error to report, re-raised below
             agent_error = err
         finally:
@@ -580,7 +594,7 @@ def _latest_or_error(skills_root: Path) -> str:
     return latest
 
 
-def _read_rationale(path: Path, result: ResultMessage, parent: str, new_version: str) -> str:
+def _read_rationale(path: Path, result: AgentResult, parent: str, new_version: str) -> str:
     """Recover the agent's rationale for ``meta.json``.
 
     Prefers the ``rationale.md`` the prompt asks for; falls back to the agent's final
diff --git a/src/acumen/logs.py b/src/acumen/logs.py
index ecf73aa..acbd6e0 100644
--- a/src/acumen/logs.py
+++ b/src/acumen/logs.py
@@ -24,21 +24,32 @@
 import json
 from collections.abc import Callable
 from datetime import datetime
+from functools import cache
 from pathlib import Path
-from typing import Any, TextIO
+from types import ModuleType
+from typing import TYPE_CHECKING, Any, TextIO
 
-from claude_agent_sdk import (
-    AssistantMessage,
-    ResultMessage,
-    SystemMessage,
-    TextBlock,
-    ThinkingBlock,
-    ToolResultBlock,
-    ToolUseBlock,
-    UserMessage,
-)
+from acumen.agents import AgentResult
+from acumen.transcript import locate_transcript, render_codex_events, render_transcript
+
+if TYPE_CHECKING:
+    from claude_agent_sdk import AssistantMessage, ResultMessage, UserMessage
+
+
+@cache
+def _sdk() -> ModuleType | None:
+    """The Claude Agent SDK, or ``None`` on a Codex-only install.
+
+    The SDK's message classes are what a Claude run is normalized from, and there is no way to
+    recognize them without importing it — but a Codex-only install has no SDK and still logs.
+    Cached because :meth:`LiveLog.append` runs once per message.
+    """
+    try:
+        import claude_agent_sdk
+    except ModuleNotFoundError:
+        return None
+    return claude_agent_sdk
 
-from acumen.transcript import locate_transcript, render_transcript
 
 #: tool_input keys, in priority order, whose value best summarizes a tool call in one line.
 _SUMMARY_KEYS = ("command", "file_path", "path", "notebook_path", "pattern", "url", "query", "description", "prompt")
@@ -140,14 +151,21 @@ def append(self, message: Any) -> None:
             for line in self._render_lines(record):
                 self._echo(line)
 
-    def finalize(self, *, config_dir: Path, work_dir: Path, result: ResultMessage | None) -> bool:
-        """Locate the run's SDK-native transcript and render the HTML log from it.
+    def finalize(self, *, config_dir: Path, work_dir: Path, result: ResultMessage | AgentResult | None) -> bool:
+        """Render the HTML log from whatever transcript the run's provider produced.
 
-        Call before the throwaway config dir is removed — the native transcript still lives under
-        it at this point. A no-op that returns ``False`` if the run produced no result.
+        Call before the throwaway config dir is removed — a Claude run's native transcript still
+        lives under it at this point. Codex writes no transcript file of its own, so its HTML is
+        rendered from the event stream carried back on the result. A no-op that returns ``False``
+        if the run produced no result.
         """
         if result is None:
             return False
+        if getattr(result, "provider", "claude") == "codex":
+            self.html_rendered = render_codex_events(getattr(result, "transcript", []), self.html_path)
+            return self.html_rendered
+        if not result.session_id:
+            return False
         native = locate_transcript(config_dir, work_dir, result.session_id)
         if native is None or not native.is_file():
             return False
@@ -168,13 +186,20 @@ def __exit__(self, *exc: object) -> None:
     # ── Normalization ──────────────────────────────────────────────────────────────────
 
     def _normalize(self, message: Any) -> dict[str, Any] | None:
-        if isinstance(message, AssistantMessage):
+        # Codex events are plain dicts, so they are recognized without the SDK — which is what
+        # lets a Codex-only install log at all.
+        if isinstance(message, dict):
+            return self._codex_event(message)
+        sdk = _sdk()
+        if sdk is None:
+            return None
+        if isinstance(message, sdk.AssistantMessage):
             return self._assistant_event(message)
-        if isinstance(message, UserMessage):
+        if isinstance(message, sdk.UserMessage):
             return self._user_event(message)
-        if isinstance(message, SystemMessage):
+        if isinstance(message, sdk.SystemMessage):
             return {"type": "system", "subtype": message.subtype}
-        if isinstance(message, ResultMessage):
+        if isinstance(message, sdk.ResultMessage):
             return {
                 "type": "result",
                 "is_error": bool(message.is_error),
@@ -186,17 +211,76 @@ def _normalize(self, message: Any) -> dict[str, Any] | None:
             }
         return None
 
+    def _codex_event(self, message: dict[str, Any]) -> dict[str, Any] | None:
+        """Normalize one event from ``codex exec --json``."""
+        kind = message.get("type")
+        if kind == "thread.started":
+            return {"type": "system", "subtype": "thread.started", "session_id": message.get("thread_id")}
+        if kind == "turn.started":
+            return {"type": "system", "subtype": "turn.started"}
+        if kind == "turn.completed":
+            usage = message.get("usage")
+            return {"type": "result", "turns": 1, "cost_usd": None, "usage": usage}
+        if kind in {"error", "turn.failed"}:
+            return {
+                "type": "result",
+                "is_error": True,
+                "subtype": kind,
+                "error": message.get("message") or message.get("error"),
+            }
+        if kind not in {"item.started", "item.updated", "item.completed"}:
+            return None
+        item = message.get("item")
+        if not isinstance(item, dict):
+            return None
+        item_type = item.get("type")
+        if item_type == "agent_message":
+            text = item.get("text")
+            return {"type": "assistant", "text": text} if text else None
+        if item_type == "reasoning":
+            text = item.get("text")
+            return {"type": "assistant", "thinking": _truncate(str(text or ""), _THINKING_CAP)}
+        if item_type == "command_execution":
+            command = str(item.get("command") or "")
+            return {
+                "type": "assistant",
+                "tools": [
+                    {
+                        "id": item.get("id"),
+                        "name": "command_execution",
+                        "summary": _truncate(" ".join(command.split()), _SUMMARY_CAP),
+                        "status": item.get("status"),
+                    }
+                ],
+            }
+        if item_type == "file_change":
+            return {
+                "type": "assistant",
+                "tools": [
+                    {
+                        "id": item.get("id"),
+                        "name": "file_change",
+                        "summary": _truncate(str(item.get("changes") or ""), _SUMMARY_CAP),
+                        "status": item.get("status"),
+                    }
+                ],
+            }
+        return None
+
     def _assistant_event(self, message: AssistantMessage) -> dict[str, Any]:
+        # Only reached from _normalize, which has already established the SDK is importable.
+        sdk = _sdk()
+        assert sdk is not None
         text_parts: list[str] = []
         thinking_parts: list[str] = []
         tools: list[dict[str, Any]] = []
         for block in message.content:
-            if isinstance(block, TextBlock):
+            if isinstance(block, sdk.TextBlock):
                 if block.text.strip():
                     text_parts.append(block.text)
-            elif isinstance(block, ThinkingBlock):
+            elif isinstance(block, sdk.ThinkingBlock):
                 thinking_parts.append(block.thinking)
-            elif isinstance(block, ToolUseBlock):
+            elif isinstance(block, sdk.ToolUseBlock):
                 self._tool_names[block.id] = block.name
                 tools.append({"id": block.id, "name": block.name, "summary": _tool_summary(block.input)})
         event: dict[str, Any] = {"type": "assistant"}
@@ -212,12 +296,14 @@ def _assistant_event(self, message: AssistantMessage) -> dict[str, Any]:
         return event
 
     def _user_event(self, message: UserMessage) -> dict[str, Any] | None:
+        sdk = _sdk()
+        assert sdk is not None
         content = message.content
         if not isinstance(content, list):
             return None  # a plain user turn (our own prompt) — nothing worth an event
         results: list[dict[str, Any]] = []
         for block in content:
-            if isinstance(block, ToolResultBlock):
+            if isinstance(block, sdk.ToolResultBlock):
                 results.append(
                     {
                         "tool_use_id": block.tool_use_id,
diff --git a/src/acumen/pricefeed.py b/src/acumen/pricefeed.py
new file mode 100644
index 0000000..706763c
--- /dev/null
+++ b/src/acumen/pricefeed.py
@@ -0,0 +1,255 @@
+"""Refresh :data:`acumen.prices.DEFAULT_RATES` from the providers' own pricing pages.
+
+Rates drift — OpenAI cut one tier by 80% in July 2026, and Claude Sonnet 5's introductory
+rate expires 2026-08-31 — so a table baked into a release goes stale on its own. This
+module fetches both providers' published prices and reports what changed.
+
+**This runs on request, never during a benchmark.** ``acumen bench`` reads the frozen
+table and touches the network only to run agents. Three reasons that separation is
+deliberate rather than timid:
+
+- A benchmark that re-prices itself from a live page is not reproducible, and one that
+  fails because a docs site moved is worse than one using a table labelled with its age.
+- Parsing has to choose a tier (standard, not batch/flex/fast), a context band (short —
+  the long-context band is priced ~2x and its threshold is not stated per model), and,
+  for dated rows, which side of the date we are on. Each is a place a silent mis-parse
+  yields a plausible wrong number, and cost is a headline metric of the report.
+- So the output is a **diff for a human to accept**, not an overwrite.
+
+Both providers publish Markdown alongside their HTML, which is what makes this tractable:
+these are documented tables, not scraped page furniture.
+"""
+
+from __future__ import annotations
+
+import re
+import urllib.error
+import urllib.request
+from dataclasses import dataclass
+from datetime import date, datetime
+
+from acumen.prices import DEFAULT_RATES, Rates
+
+#: The Markdown pricing pages. Both are the ``.md`` twin of the human docs page — append
+#: ``.md`` to a docs URL on either site.
+PRICE_SOURCES = {
+    "anthropic": "https://platform.claude.com/docs/en/about-claude/pricing.md",
+    "openai": "https://developers.openai.com/api/docs/pricing.md",
+}
+
+#: What the parsed rates mean. Recorded alongside them so the choice is never implicit.
+PRICE_TIER = "standard, short-context"
+
+
+class PriceFeedError(RuntimeError):
+    """Raised when a pricing page cannot be fetched or yields no usable rows."""
+
+
+def fetch(url: str, *, timeout: float = 30.0) -> str:
+    """Fetch one pricing page as text."""
+    request = urllib.request.Request(url, headers={"User-Agent": "acumen-pricefeed"})
+    try:
+        with urllib.request.urlopen(request, timeout=timeout) as response:
+            return response.read().decode("utf-8", errors="replace")
+    except (urllib.error.URLError, TimeoutError, OSError) as err:
+        raise PriceFeedError(f"could not fetch {url}: {err}") from err
+
+
+def _cells(line: str) -> list[str]:
+    """Split one Markdown table row into trimmed cells."""
+    return [cell.strip() for cell in line.strip().strip("|").split("|")]
+
+
+def _tables(markdown: str) -> list[tuple[list[str], list[list[str]]]]:
+    """Return every Markdown table as ``(header cells, body rows)``."""
+    tables: list[tuple[list[str], list[list[str]]]] = []
+    lines = markdown.splitlines()
+    for index, line in enumerate(lines):
+        if not line.lstrip().startswith("|") or index + 1 >= len(lines):
+            continue
+        separator = lines[index + 1].strip()
+        if not re.fullmatch(r"\|[\s:|-]+\|", separator):
+            continue
+        header = _cells(line)
+        rows = []
+        for row in lines[index + 2 :]:
+            if not row.lstrip().startswith("|"):
+                break
+            rows.append(_cells(row))
+        tables.append((header, rows))
+    return tables
+
+
+def _money(cell: str) -> float | None:
+    """Parse a price cell (``$6.25 / MTok``, ``$0.02``, ``-``) to a number."""
+    match = re.search(r"\$\s*([0-9]+(?:\.[0-9]+)?)", cell)
+    return float(match.group(1)) if match else None
+
+
+_LINK = re.compile(r"\[([^\]]*)\]\([^)]*\)")
+
+
+def _model_label(cell: str) -> str:
+    """Strip Markdown links and parenthetical qualifiers from a model cell."""
+    return re.sub(r"\s+", " ", re.sub(r"\([^)]*\)", " ", _LINK.sub(r"\1", cell))).strip()
+
+
+def _slug(label: str) -> str:
+    """Turn a display name into its API model ID (``Claude Haiku 4.5`` → ``claude-haiku-4-5``)."""
+    return re.sub(r"-+", "-", re.sub(r"[^a-z0-9]+", "-", label.lower())).strip("-")
+
+
+_THROUGH = re.compile(r"\bthrough\s+([A-Z][a-z]+ \d{1,2}, \d{4})")
+_STARTING = re.compile(r"\bstarting\s+([A-Z][a-z]+ \d{1,2}, \d{4})")
+
+
+def _dated_window(label: str, today: date) -> tuple[str, bool]:
+    """Split a dated row label into its model name and whether it applies on ``today``.
+
+    Anthropic prices a promotional rate as two rows — "… through August 31, 2026" and
+    "… starting September 1, 2026". Taking whichever row parses first would silently
+    pick up a rate that is not in effect.
+    """
+    applies = True
+    for pattern, active in ((_THROUGH, lambda d: today <= d), (_STARTING, lambda d: today >= d)):
+        match = pattern.search(label)
+        if match is None:
+            continue
+        boundary = datetime.strptime(match.group(1), "%B %d, %Y").date()
+        applies = active(boundary)
+        label = label[: match.start()].strip()
+    return label, applies
+
+
+def parse_anthropic(markdown: str, *, today: date) -> dict[str, Rates]:
+    """Parse Anthropic's per-model table (base input / cache writes / cache hits / output)."""
+    rates: dict[str, Rates] = {}
+    for header, rows in _tables(markdown):
+        lowered = [cell.lower() for cell in header]
+        if not (any("base input" in c for c in lowered) and any("cache hits" in c for c in lowered)):
+            continue
+        columns = {
+            "input": next(i for i, c in enumerate(lowered) if "base input" in c),
+            # The 5-minute TTL is what an agent run actually uses; the 1h column is a
+            # different product, not a better estimate of the same one.
+            "cache_write": next(i for i, c in enumerate(lowered) if "5m cache" in c),
+            "cached_input": next(i for i, c in enumerate(lowered) if "cache hits" in c),
+            "output": next(i for i, c in enumerate(lowered) if "output" in c),
+        }
+        for row in rows:
+            if len(row) <= max(columns.values()):
+                continue
+            label, applies = _dated_window(_model_label(row[0]), today)
+            if not applies or not label.lower().startswith("claude"):
+                continue
+            values = {name: _money(row[index]) for name, index in columns.items()}
+            if any(value is None for value in values.values()):
+                continue
+            rates[_slug(label)] = Rates(**values)  # type: ignore[arg-type]
+    if not rates:
+        raise PriceFeedError("no Claude rates found — the pricing page layout may have changed")
+    return rates
+
+
+def parse_openai(markdown: str) -> dict[str, Rates]:
+    """Parse OpenAI's standard-tier table, short-context columns only."""
+    rates: dict[str, Rates] = {}
+    for header, rows in _tables(markdown):
+        lowered = [cell.lower() for cell in header]
+        wanted = {
+            "input": "short context input",
+            "cached_input": "short context cached input",
+            "cache_write": "short context cache writes",
+            "output": "short context output",
+        }
+        if not all(any(c == want for c in lowered) for want in wanted.values()):
+            continue
+        columns = {name: lowered.index(want) for name, want in wanted.items()}
+        for row in rows:
+            if len(row) <= max(columns.values()):
+                continue
+            model = _model_label(row[0])
+            if not model or " " in model:
+                continue
+            values = {name: _money(row[index]) for name, index in columns.items()}
+            if values["input"] is None or values["output"] is None:
+                continue
+            # A model can omit cache columns ("-"); fall back to the standard multiples.
+            rates.setdefault(
+                model.lower(),
+                Rates(
+                    input=values["input"],
+                    cached_input=values["cached_input"] or values["input"] * 0.1,
+                    cache_write=values["cache_write"] or values["input"] * 1.25,
+                    output=values["output"],
+                ),
+            )
+        # The standard table comes first; batch/flex/fast repeat the same headers.
+        break
+    if not rates:
+        raise PriceFeedError("no OpenAI rates found — the pricing page layout may have changed")
+    return rates
+
+
+@dataclass(frozen=True)
+class RateChange:
+    """One model's rates differing between the shipped table and the published page."""
+
+    model: str
+    before: Rates | None
+    after: Rates
+
+    @property
+    def kind(self) -> str:
+        """Whether the shipped table lacks this model entirely, or prices it differently."""
+        return "new" if self.before is None else "changed"
+
+    def describe(self) -> str:
+        """One reviewable line: what moved, from what, to what."""
+        if self.before is None:
+            return f"  + {self.model}: in ${self.after.input} out ${self.after.output} (new)"
+        # Name every field that moved — a cache rate can change while input/output hold,
+        # and on a cached workload that is most of the bill.
+        moved = [
+            f"{field} ${getattr(self.before, field)}→${getattr(self.after, field)}"
+            for field in ("input", "cached_input", "cache_write", "output")
+            if getattr(self.before, field) != getattr(self.after, field)
+        ]
+        return f"  ~ {self.model}: {', '.join(moved)}"
+
+
+def refresh(*, today: date, fetcher=fetch) -> dict[str, Rates]:
+    """Fetch and parse both providers' published rates."""
+    markdown = {name: fetcher(url) for name, url in PRICE_SOURCES.items()}
+    return {**parse_anthropic(markdown["anthropic"], today=today), **parse_openai(markdown["openai"])}
+
+
+def diff_rates(current: dict[str, Rates], fetched: dict[str, Rates]) -> list[RateChange]:
+    """Models whose published rates differ from ``current``, plus ones it doesn't cover.
+
+    Only models present in the fetch are reported: a model missing from the page has been
+    retired or renamed, which is not something to silently drop from a working table.
+    """
+    changes = [
+        RateChange(model=model, before=current.get(model), after=rates)
+        for model, rates in sorted(fetched.items())
+        if current.get(model) != rates
+    ]
+    return changes
+
+
+def to_yaml_block(rates: dict[str, Rates]) -> str:
+    """Render rates as a ``prices:`` block for ``config.yaml``."""
+    lines = ["prices:"]
+    for model, rate in sorted(rates.items()):
+        lines.append(f"  {model}:")
+        lines.append(f"    input: {rate.input}")
+        lines.append(f"    cached_input: {rate.cached_input}")
+        lines.append(f"    cache_write: {rate.cache_write}")
+        lines.append(f"    output: {rate.output}")
+    return "\n".join(lines) + "\n"
+
+
+def shipped_rates() -> dict[str, Rates]:
+    """The table a refresh is compared against."""
+    return dict(DEFAULT_RATES)
diff --git a/src/acumen/prices.py b/src/acumen/prices.py
new file mode 100644
index 0000000..a8a7a06
--- /dev/null
+++ b/src/acumen/prices.py
@@ -0,0 +1,240 @@
+"""Per-model token rates, and the cost of one run computed from its token counts.
+
+The provider-reported dollar figure is not a usable benchmark metric: the Claude SDK
+returns one, ``codex exec`` returns none at all, so a mixed matrix would compare a real
+number against a zero. Tokens, by contrast, are reported by both. So acumen records the
+token breakdown as the primary measurement and derives cost from a rate table here —
+one arithmetic path, identical for every provider, and reproducible after the fact.
+
+Two properties this design depends on:
+
+**The breakdown must survive.** Cached input is billed at a tenth of the base rate and
+cache writes at 1.25x, so collapsing reads, writes, and fresh input into a single
+``input_tokens`` figure and multiplying by the base rate overcharges a cached run by up
+to 10x. Benchmark agents share a large prompt prefix, so most of their input *is* cache
+reads — the breakdown is the difference between a right answer and a wrong one.
+
+**Rates are frozen into the run.** Prices change; a benchmark comparing a January run
+against a July one must not silently re-price the old one. :func:`price_run` is called
+once, when the run finishes, and the rates it used are written into ``result.json``
+beside the figure they produced.
+"""
+
+from __future__ import annotations
+
+from collections.abc import Callable
+from dataclasses import asdict, dataclass
+from typing import Any
+
+#: The date :data:`DEFAULT_RATES` was last verified against each provider's own pricing
+#: page. Shown in the report so a stale table is visible rather than assumed current.
+RATES_AS_OF = "2026-08-03"
+
+#: Where the numbers came from, for the next person who has to re-verify them.
+RATE_SOURCES = (
+    "https://platform.claude.com/docs/en/pricing",
+    "https://developers.openai.com/api/docs/pricing",
+)
+
+
+@dataclass(frozen=True)
+class Rates:
+    """What one model costs, in USD per million tokens.
+
+    ``cached_input`` and ``cache_write`` are absolute rates, not multipliers — both
+    providers happen to price them at 0.1x and 1.25x of ``input``, but that is their
+    convention to change, not an invariant worth encoding.
+    """
+
+    input: float
+    cached_input: float
+    cache_write: float
+    output: float
+
+    @classmethod
+    def from_mapping(cls, value: Any, *, model: str) -> Rates:
+        """Build rates from a config mapping, rejecting anything unusable.
+
+        Only ``input`` and ``output`` are required: a provider that does not price
+        caching separately (or a model a user is pricing by hand) can omit the cache
+        rates, which then default to the standard 0.1x / 1.25x of ``input``.
+        """
+        if not isinstance(value, dict):
+            raise ValueError(f"prices for {model!r} must be a mapping, got {type(value).__name__}")
+        unknown = set(value) - {"input", "cached_input", "cache_write", "output"}
+        if unknown:
+            raise ValueError(f"prices for {model!r} has unknown keys: {sorted(unknown)}")
+        for key in ("input", "output"):
+            if key not in value:
+                raise ValueError(f"prices for {model!r} is missing required key {key!r}")
+        numbers: dict[str, float] = {}
+        for key, raw in value.items():
+            if isinstance(raw, bool) or not isinstance(raw, int | float) or raw < 0:
+                raise ValueError(f"prices for {model!r}: {key!r} must be a non-negative number, got {raw!r}")
+            numbers[key] = float(raw)
+        return cls(
+            input=numbers["input"],
+            cached_input=numbers.get("cached_input", round(numbers["input"] * 0.1, _CENTS)),
+            cache_write=numbers.get("cache_write", round(numbers["input"] * 1.25, _CENTS)),
+            output=numbers["output"],
+        )
+
+
+#: Derived cache rates are rounded to this many decimals. Without it ``0.20 * 0.1`` is
+#: ``0.020000000000000004``, which never equals the ``$0.02`` a provider publishes — so
+#: every price refresh would report a change that isn't one.
+_CENTS = 6
+
+
+def _rates(input_: float, output: float, *, cached: float | None = None, write: float | None = None) -> Rates:
+    """Both providers price cache reads at 0.1x input and writes at 1.25x."""
+    return Rates(
+        input=input_,
+        cached_input=round(input_ * 0.1, _CENTS) if cached is None else cached,
+        cache_write=round(input_ * 1.25, _CENTS) if write is None else write,
+        output=output,
+    )
+
+
+#: USD per million tokens, verified :data:`RATES_AS_OF` against :data:`RATE_SOURCES`.
+#: Override or extend from ``config.yaml`` (``prices:``) rather than editing this — a
+#: model missing here is recorded unpriced, never guessed at.
+DEFAULT_RATES: dict[str, Rates] = {
+    # Anthropic. Sonnet 5 carries an introductory rate through 2026-08-31; the standard
+    # $3/$15 resumes after it, so re-verify this row rather than trusting it past then.
+    "claude-opus-5": _rates(5.00, 25.00),
+    "claude-opus-4-8": _rates(5.00, 25.00),
+    "claude-opus-4-7": _rates(5.00, 25.00),
+    "claude-sonnet-5": _rates(2.00, 10.00),
+    "claude-sonnet-4-6": _rates(3.00, 15.00),
+    "claude-haiku-4-5": _rates(1.00, 5.00),
+    "claude-haiku-4-5-20251001": _rates(1.00, 5.00),
+    # OpenAI.
+    "gpt-5.6-sol": _rates(5.00, 30.00),
+    "gpt-5.6-terra": _rates(2.00, 12.00),
+    "gpt-5.6-luna": _rates(0.20, 1.20),
+}
+
+
+def resolve_rates(model: str, overrides: dict[str, Rates] | None = None) -> Rates | None:
+    """Find the rates for ``model``, or ``None`` if it is not priced.
+
+    Config overrides win over the built-in table, so an operator on negotiated rates or a
+    gateway can price their own traffic. A provider-qualified ID (``openai/gpt-5.6-sol``)
+    falls back to its bare form, which keeps proxy configurations priceable.
+    """
+    for table in (overrides or {}, DEFAULT_RATES):
+        for key in (model, model.strip().lower(), model.rsplit("/", 1)[-1].strip().lower()):
+            if key in table:
+                return table[key]
+    return None
+
+
+@dataclass(frozen=True)
+class Usage:
+    """One run's token counts, normalized across providers.
+
+    ``input`` is the *total* input including both cached classes — the shape both
+    providers report — so the fresh-token count is ``input - cache_read - cache_write``.
+    """
+
+    input: int
+    cache_read: int
+    cache_write: int
+    output: int
+
+    @property
+    def total(self) -> int:
+        """Every token the run consumed, input and output together."""
+        return self.input + self.output
+
+    @property
+    def fresh_input(self) -> int:
+        """Input billed at the full rate.
+
+        Clamped at zero: a provider is free to redefine how the parts relate, and a
+        negative token count would silently become a negative cost.
+        """
+        return max(0, self.input - self.cache_read - self.cache_write)
+
+
+def _int(usage: dict, key: str) -> int:
+    return int(usage.get(key, 0) or 0)
+
+
+def normalize_usage(usage: dict | None, *, provider: str = "claude") -> Usage:
+    """Normalize a provider's usage block, keeping the cache split intact.
+
+    The two providers report the same information in different shapes. Codex's
+    ``input_tokens`` is the total with ``cached_input_tokens`` as a subset of it; the
+    Claude SDK reports the three classes side by side, so the total is their sum. Both
+    are normalized to :class:`Usage`, whose ``input`` is always the total.
+
+    The split is kept rather than collapsed because the classes are priced an order of
+    magnitude apart — see this module's docstring. Verified against a live ``turn.completed``
+    event, whose usage block is::
+
+        {
+            "input_tokens": 12051,
+            "cached_input_tokens": 8960,
+            "cache_write_input_tokens": 0,
+            "output_tokens": 5,
+            "reasoning_output_tokens": 0,
+        }
+
+    ``reasoning_output_tokens`` is a subset of ``output_tokens`` and billed as output, so
+    the total is the figure to use and the subset is ignored.
+    """
+    if not usage:
+        return Usage(input=0, cache_read=0, cache_write=0, output=0)
+    output = _int(usage, "output_tokens")
+    if provider == "codex":
+        return Usage(
+            input=_int(usage, "input_tokens"),
+            cache_read=_int(usage, "cached_input_tokens"),
+            cache_write=_int(usage, "cache_write_input_tokens"),
+            output=output,
+        )
+    cache_read = _int(usage, "cache_read_input_tokens")
+    cache_write = _int(usage, "cache_creation_input_tokens")
+    return Usage(
+        input=_int(usage, "input_tokens") + cache_read + cache_write,
+        cache_read=cache_read,
+        cache_write=cache_write,
+        output=output,
+    )
+
+
+def pricer(model: str, overrides: dict[str, Rates] | None = None) -> Callable[[dict], float | None]:
+    """A usage→USD hook for a provider that reports no billed figure of its own.
+
+    Codex cannot enforce a budget cap without one: it reports tokens, so the cap has to be
+    applied to the same rate table the run is priced by, never a second one — otherwise a run
+    could be stopped at a budget it is not billed against. Returns ``None`` for an unpriced
+    model, which callers must read as "no cap can be enforced", never as "free".
+    """
+    rates = resolve_rates(model, overrides)
+    return lambda usage: price_run(normalize_usage(usage, provider="codex"), rates)
+
+
+def price_run(usage: Usage, rates: Rates | None) -> float | None:
+    """Cost of one run in USD, or ``None`` when the model has no rates.
+
+    ``None`` is deliberately distinct from ``0.0``: an unpriced model must not be
+    reported as a free one, which is exactly the failure the provider-reported figure
+    produced for Codex.
+    """
+    if rates is None:
+        return None
+    per_token = 1_000_000
+    return (
+        usage.fresh_input * rates.input
+        + usage.cache_read * rates.cached_input
+        + usage.cache_write * rates.cache_write
+        + usage.output * rates.output
+    ) / per_token
+
+
+def rates_payload(rates: Rates | None) -> dict[str, float] | None:
+    """The rates as they go into ``result.json`` — the run's frozen price provenance."""
+    return None if rates is None else asdict(rates)
diff --git a/src/acumen/prompts.py b/src/acumen/prompts.py
index 09116b0..3bfd881 100644
--- a/src/acumen/prompts.py
+++ b/src/acumen/prompts.py
@@ -103,7 +103,7 @@ def feedback_block(feedback: str | None) -> str:
 
 
 DRAFT_PROMPT = """\
-You are writing a Claude Skill for the Python package `{package}` (version {version}).
+You are writing an agent skill for the Python package `{package}` (version {version}).
 
 A skill is documentation written for an agent, not for a human. Its only purpose is to
 make an agent that has never used `{package}` succeed at real tasks with it on the first
@@ -179,7 +179,7 @@ def feedback_block(feedback: str | None) -> str:
 
 
 IMPROVE_PROMPT = """\
-You are improving a Claude Skill for the Python package `{package}` (version {version}).
+You are improving an agent skill for the Python package `{package}` (version {version}).
 
 A skill is documentation written for an agent, not a human. Its only purpose is to make an
 agent that has never used `{package}` succeed at real tasks with it on the first try.
@@ -294,7 +294,8 @@ def feedback_block(feedback: str | None) -> str:
 # Ignore any existing skills or agent instructions — deliberately hidden
 
 The package may ship skills or agent-instruction files written for it (`SKILL.md`,
-`.claude/skills/`, `CLAUDE.md`, `AGENTS.md`, `.cursor/`, Copilot instructions). These have
+`.agents/skills/`, `.claude/skills/`, `.codex/`, `CLAUDE.md`, `AGENTS.md`, `.cursor/`,
+Copilot instructions). These have
 been stripped from the source above, and any attempt to reach them — or the original
 unfiltered checkout — is BLOCKED. This is on purpose: reading pre-written guidance would bias
 which analyses you pick and how you phrase them, and this benchmark must be independent of it.
diff --git a/src/acumen/runner.py b/src/acumen/runner.py
index 64bdf3e..535a8ce 100644
--- a/src/acumen/runner.py
+++ b/src/acumen/runner.py
@@ -1,4 +1,4 @@
-"""SDK invocation for a single benchmark run.
+"""Provider-neutral invocation for a single benchmark run.
 
 Runs one agent in one sandbox, captures its transcript, grades what it wrote, and emits
 ``result.json`` — the unit of record. Writing ``result.json`` last is deliberate: its
@@ -15,9 +15,8 @@
 from pathlib import Path
 from typing import TextIO
 
-from claude_agent_sdk import ClaudeAgentOptions, ResultMessage, query
-
-from acumen.env import AuthMode, Target, sdk_version
+from acumen.agents import AgentOptions, AgentResult, provider_for_model, run_agent
+from acumen.env import AuthMode, Target, agent_version
 from acumen.grade import Grade, Reason, grade_run
 from acumen.paths import (
     ANSWER_FILE,
@@ -27,11 +26,12 @@
     TRANSCRIPT_JSONL,
     RunKey,
 )
+from acumen.prices import Rates, normalize_usage, price_run, pricer, rates_payload, resolve_rates
 from acumen.prompts import benchmark_prompt
 from acumen.sandbox import Sandbox, sandbox
 from acumen.skills import Skill
 from acumen.tasks import Task
-from acumen.transcript import locate_transcript, render_transcript
+from acumen.transcript import locate_transcript, render_agent_transcript
 
 #: Result subtypes the CLI reports on a cap breach, mapped to our reason taxonomy.
 _SUBTYPE_REASONS: dict[str, Reason] = {
@@ -50,7 +50,7 @@ class RunOutcome:
     payload: dict
 
 
-def _terminal_reason(message: ResultMessage) -> Reason | None:
+def _terminal_reason(message: AgentResult) -> Reason | None:
     """Map a cap breach or hard error onto a reason, or ``None`` if the agent finished.
 
     ``subtype`` is a free-form string from the CLI, so match defensively rather than
@@ -72,7 +72,7 @@ def _find_transcript(box: Sandbox, session_id: str) -> Path | None:
     return locate_transcript(box.config_dir, box.root, session_id)
 
 
-def _skill_fired(jsonl: Path, name: str) -> bool | None:
+def _skill_fired(jsonl: Path, name: str, *, provider: str = "claude") -> bool | None:
     """Return whether the agent loaded the skill called ``name``, read from the transcript.
 
     This is the evidence the skill arm actually used the skill — the skill arm must show it
@@ -94,6 +94,18 @@ def _skill_fired(jsonl: Path, name: str) -> bool | None:
             record = json.loads(line)
         except json.JSONDecodeError:
             continue
+        if provider == "codex":
+            item = record.get("item")
+            if not isinstance(item, dict):
+                continue
+            # Codex loads repository skills from .agents/skills. The JSONL
+            # protocol exposes the command used to read the selected SKILL.md.
+            command = item.get("command")
+            if isinstance(command, str):
+                normalized = command.replace("\\", "/")
+                if f".agents/skills/{name}/SKILL.md" in normalized:
+                    return True
+            continue
         if record.get("type") != "assistant":
             continue
         content = record.get("message", {}).get("content")
@@ -115,15 +127,6 @@ def _collect_artifacts(box: Sandbox, run_dir: Path) -> None:
             shutil.copyfile(src, run_dir / name)
 
 
-def _usage_tokens(usage: dict | None) -> tuple[int, int]:
-    if not usage:
-        return 0, 0
-    inp = int(usage.get("input_tokens", 0) or 0)
-    inp += int(usage.get("cache_read_input_tokens", 0) or 0)
-    inp += int(usage.get("cache_creation_input_tokens", 0) or 0)
-    return inp, int(usage.get("output_tokens", 0) or 0)
-
-
 class StderrFilter:
     """Dedupe the CLI subprocess stderr the SDK forwards, keeping the first of each line.
 
@@ -159,8 +162,9 @@ def _build_options(
     model: str,
     max_turns: int,
     max_usd: float,
+    price_overrides: dict[str, Rates] | None = None,
     stderr: Callable[[str], None] | None = None,
-) -> ClaudeAgentOptions:
+) -> AgentOptions:
     """Assemble the SDK options for one run.
 
     These options are **identical for every arm** — baseline parity means the
@@ -179,15 +183,14 @@ def _build_options(
     append ``Skill(<name>)`` to ``allowed_tools`` in the skill arm only — an options-level
     difference between arms, which is the one thing parity forbids.
     """
-    return ClaudeAgentOptions(
-        cwd=str(box.root),
+    return AgentOptions(
+        cwd=box.root,
         env=box.env,
         model=model,
         max_turns=max_turns,
-        max_budget_usd=max_usd,
-        setting_sources=["project"],
-        permission_mode="bypassPermissions",
-        system_prompt={"type": "preset", "preset": "claude_code"},
+        max_usd=max_usd,
+        discover_skills=True,
+        price_usd=pricer(model, price_overrides),
         stderr=stderr,
     )
 
@@ -208,6 +211,7 @@ async def run_once(
     keep_sandbox: bool = False,
     stderr: Callable[[str], None] | None = None,
     env_passthrough: Sequence[str] | None = None,
+    price_overrides: dict[str, Rates] | None = None,
 ) -> RunOutcome:
     """Execute one benchmark run end to end and write its ``result.json``.
 
@@ -259,7 +263,8 @@ async def run_once(
     run_dir.mkdir(parents=True, exist_ok=True)
     split = task.split(key.split)
 
-    result: ResultMessage | None = None
+    provider = provider_for_model(model)
+    result: AgentResult | None = None
     error: str | None = None
 
     with sandbox(
@@ -269,6 +274,7 @@ async def run_once(
         keep=keep_sandbox,
         skill=skill,
         env_passthrough=env_passthrough,
+        provider=provider,
     ) as box:
         prompt = benchmark_prompt(
             split.prompt,
@@ -276,27 +282,34 @@ async def run_once(
             python=target.python,
             package=target.pkg_name,
         )
-        options = _build_options(box=box, model=model, max_turns=max_turns, max_usd=max_usd, stderr=stderr)
+        options = _build_options(
+            box=box,
+            model=model,
+            max_turns=max_turns,
+            max_usd=max_usd,
+            price_overrides=price_overrides,
+            stderr=stderr,
+        )
         try:
-            async for message in query(prompt=prompt, options=options):
-                if isinstance(message, ResultMessage):
-                    result = message
+            result = await run_agent(prompt, options=options)
         except Exception as err:  # noqa: BLE001 - a crashed agent is a recorded failure, not a crashed pass
             error = f"{type(err).__name__}: {err}"
 
         _collect_artifacts(box, run_dir)
-        if result is not None:
+        if result is not None and provider == "claude" and result.session_id is not None:
             jsonl = _find_transcript(box, result.session_id)
             if jsonl is not None:
                 shutil.copyfile(jsonl, run_dir / TRANSCRIPT_JSONL)
+        elif result is not None and provider == "codex":
+            (run_dir / TRANSCRIPT_JSONL).write_text("".join(f"{json.dumps(event)}\n" for event in result.transcript))
 
     rendered = False
     skill_loaded: bool | None = None
     expected_skill = skill.name if skill is not None else skill_name
     if (run_dir / TRANSCRIPT_JSONL).is_file():
-        rendered = render_transcript(run_dir / TRANSCRIPT_JSONL, run_dir / TRANSCRIPT_HTML)
+        rendered = render_agent_transcript(run_dir / TRANSCRIPT_JSONL, run_dir / TRANSCRIPT_HTML, provider=provider)
         if expected_skill is not None:
-            skill_loaded = _skill_fired(run_dir / TRANSCRIPT_JSONL, expected_skill)
+            skill_loaded = _skill_fired(run_dir / TRANSCRIPT_JSONL, expected_skill, provider=provider)
 
     grade: Grade = grade_run(run_dir, split.answer)
     if error is not None or result is None:
@@ -309,20 +322,32 @@ async def run_once(
         else:
             success, reason = grade.success, grade.reason
 
-    inp, out = _usage_tokens(result.usage if result else None)
+    usage = normalize_usage(result.usage if result else None, provider=provider)
+    # Tokens are the measurement; cost is derived from them at a frozen rate, so the two
+    # providers are priced by one arithmetic path and old runs stay reproducible when the
+    # rate table moves. The provider's own figure is kept alongside as a cross-check.
+    rates = resolve_rates(model, price_overrides)
+    computed = price_run(usage, rates)
+    provider_cost = result.total_cost_usd if result else None
     payload = {
         "task_id": key.task_id,
         "split": key.split,
         "skill": key.skill,
         "arm": key.arm,
         "model": model,
+        "agent": provider,
         "rep": key.rep,
         "success": success,
         "reason": reason,
         "turns": result.num_turns if result else 0,
-        "cost_usd": (result.total_cost_usd if result else None) or 0.0,
-        "input_tokens": inp,
-        "output_tokens": out,
+        "cost_usd": computed or 0.0,
+        "cost_available": computed is not None,
+        "provider_cost_usd": provider_cost,
+        "price_rates": rates_payload(rates),
+        "input_tokens": usage.input,
+        "output_tokens": usage.output,
+        "cache_read_tokens": usage.cache_read,
+        "cache_write_tokens": usage.cache_write,
         "duration_s": round((result.duration_ms if result else 0) / 1000, 2),
         "answer": grade.answer,
         "expected": split.answer.strip(),
@@ -332,7 +357,7 @@ async def run_once(
         "skill_name": skill.name if skill else None,
         # Evidence, not configuration: did the agent actually invoke the Skill tool?
         "skill_loaded": skill_loaded,
-        "sdk_version": sdk_version(),
+        "sdk_version": agent_version(provider),
         "session_id": result.session_id if result else None,
         "stop_reason": result.stop_reason if result else None,
         "subtype": result.subtype if result else None,
diff --git a/src/acumen/sandbox.py b/src/acumen/sandbox.py
index e6137f2..728e037 100644
--- a/src/acumen/sandbox.py
+++ b/src/acumen/sandbox.py
@@ -2,10 +2,10 @@
 
 The agent sees an installed package and nothing else — no repo source, no user
 settings, no memories. Each run gets its own sandbox, throwaway ``HOME`` and throwaway
-``CLAUDE_CONFIG_DIR``, so runs cannot see each other either.
+provider config directory, so runs cannot see each other either.
 
 A skill arm differs from the baseline in exactly one way: ``skills/v{n}/`` is
-copied into ``<sandbox>/.claude/skills/<name>/``, where the agent's own project settings
+copied into the selected provider's project skill directory, where the agent's own
 discovery finds it. Same prompt, same tools, same caps, same env otherwise.
 """
 
@@ -18,12 +18,15 @@
 from dataclasses import dataclass
 from pathlib import Path
 
+from acumen.agents import AgentProvider
 from acumen.env import AuthMode, Target, build_agent_env
 from acumen.procs import label_env, reap
 from acumen.skills import Skill, content_files
 
-#: Where the ``claude`` CLI looks for project skills, relative to the agent's cwd.
-SKILLS_SUBDIR = Path(".claude") / "skills"
+SKILLS_SUBDIRS = {
+    "claude": Path(".claude") / "skills",
+    "codex": Path(".agents") / "skills",
+}
 
 
 @dataclass(frozen=True)
@@ -35,17 +38,18 @@ class Sandbox:
     config_dir: Path
     env: dict[str, str]
     authenticated: bool
+    provider: AgentProvider = "claude"
     skill: Skill | None = None
 
     @property
     def transcript_root(self) -> Path:
-        """Where the ``claude`` CLI writes transcripts for this run."""
+        """Where Claude writes transcripts for this run (unused by Codex)."""
         return self.config_dir / "projects"
 
     @property
     def skills_dir(self) -> Path:
-        """The project skills directory the agent discovers, ``<root>/.claude/skills``."""
-        return self.root / SKILLS_SUBDIR
+        """The project skills directory the selected agent discovers."""
+        return self.root / SKILLS_SUBDIRS[self.provider]
 
     @property
     def skill_hash(self) -> str | None:
@@ -53,7 +57,7 @@ def skill_hash(self) -> str | None:
         return self.skill.hash if self.skill else None
 
 
-def install_skill(root: Path, skill: Skill) -> Path:
+def install_skill(root: Path, skill: Skill, *, provider: AgentProvider = "claude") -> Path:
     """Copy a skill's content into a sandbox as a discoverable project skill.
 
     ``meta.json`` is deliberately left behind: it is acumen's provenance record, and the
@@ -68,9 +72,9 @@ def install_skill(root: Path, skill: Skill) -> Path:
 
     Returns
     -------
-    The installed skill directory, ``<root>/.claude/skills/<name>``.
+    The selected provider's installed project-skill directory.
     """
-    dest = root / SKILLS_SUBDIR / skill.name
+    dest = root / SKILLS_SUBDIRS[provider] / skill.name
     dest.mkdir(parents=True, exist_ok=True)
     for src in content_files(skill.directory):
         target = dest / src.relative_to(skill.directory)
@@ -88,6 +92,7 @@ def sandbox(
     keep: bool = False,
     skill: Skill | None = None,
     env_passthrough: Sequence[str] | None = None,
+    provider: AgentProvider = "claude",
 ) -> Iterator[Sandbox]:
     """Create a fresh sandbox for one run and clean it up afterwards.
 
@@ -118,11 +123,11 @@ def sandbox(
     try:
         root = holder / "work"
         home = holder / "home"
-        config_dir = home / ".claude"
+        config_dir = home / (".claude" if provider == "claude" else ".codex")
         for path in (root, home, config_dir, home / "tmp"):
             path.mkdir(parents=True, exist_ok=True)
         if skill is not None:
-            install_skill(root, skill)
+            install_skill(root, skill, provider=provider)
         # The marker is what lets the teardown below find whatever this agent leaves running.
         env = label_env(
             build_agent_env(
@@ -131,6 +136,7 @@ def sandbox(
                 extra_path=[target.bin_dir],
                 auth_mode=auth_mode,
                 extra_allow=env_passthrough,
+                provider=provider,
             ),
             holder,
         )
@@ -141,6 +147,7 @@ def sandbox(
             env=env,
             # Only session mode seeds the OAuth login into the throwaway config dir.
             authenticated=auth_mode == "session",
+            provider=provider,
             skill=skill,
         )
     finally:
diff --git a/src/acumen/scaffold.py b/src/acumen/scaffold.py
index 5804c5b..ce32a73 100644
--- a/src/acumen/scaffold.py
+++ b/src/acumen/scaffold.py
@@ -24,7 +24,7 @@
 python: "3.12"                        # interpreter for the target's throwaway venv
 env_passthrough: []                   # extra env vars agents may keep (e.g. [OMP_NUM_THREADS]); the agent env is otherwise a clean allowlist
 
-models: [claude-opus-5, claude-sonnet-5, claude-haiku-4-5-20251001]   # benchmark models; a pass is models x tasks x reps x splits
+models: [claude-opus-5, claude-sonnet-5, claude-haiku-4-5-20251001, gpt-5.6-sol, gpt-5.6-terra, gpt-5.6-luna]   # Claude + Codex benchmark models; a pass is models x tasks x reps x splits
 n_replicates: 3                       # runs per (model, task, split) cell
 max_concurrency: 4                    # simultaneous agents
 
diff --git a/src/acumen/ship.py b/src/acumen/ship.py
index 0e8cdcc..351f5ea 100644
--- a/src/acumen/ship.py
+++ b/src/acumen/ship.py
@@ -32,11 +32,18 @@
 from dataclasses import dataclass
 from pathlib import Path
 
-from claude_agent_sdk import ClaudeAgentOptions, ResultMessage, query
-
+from acumen.agents import AgentOptions, AgentProvider, AgentResult, provider_for_model, run_agent
 from acumen.config import Config
-from acumen.env import API_AUTH_ENV_VARS, SESSION_AUTH_ENV_VAR, AuthMode, Target, claude_cli_dir
+from acumen.env import (
+    API_AUTH_ENV_VARS,
+    CODEX_API_AUTH_ENV_VARS,
+    SESSION_AUTH_ENV_VAR,
+    AuthMode,
+    Target,
+    agent_cli_dir,
+)
 from acumen.logs import LiveLog
+from acumen.prices import pricer
 from acumen.procs import label_env, reap
 from acumen.prompts import ship_prompt
 from acumen.skills import Skill, content_files, load_skill
@@ -124,7 +131,7 @@ def _stage_skill_payload(skill: Skill, dest: Path) -> Path:
     return dest
 
 
-def _ship_env(target: Target, auth_mode: AuthMode) -> dict[str, str]:
+def _ship_env(target: Target, auth_mode: AuthMode, provider: AgentProvider = "claude") -> dict[str, str]:
     """The environment for the (unisolated) ship agent: the real env, target venv on PATH.
 
     Unlike the benchmark and meta-agents this is NOT scrubbed — the agent needs real
@@ -135,7 +142,9 @@ def _ship_env(target: Target, auth_mode: AuthMode) -> dict[str, str]:
     The one exception is the model credential: to bill the chosen ``auth_mode`` deterministically
     we neutralize the *other* mode's variables — ``"session"`` clears the metered API/cloud keys
     (the user's real ``~/.claude`` OAuth login then authenticates), ``"api"`` clears the
-    subscription OAuth token (the API key then wins). Everything non-credential is still carried
+    subscription OAuth token (the API key then wins). The other *provider's* credentials are
+    cleared too, whichever mode is chosen: they cannot authenticate this run, so carrying them
+    would only hand the agent a second API key. Everything non-credential is still carried
     through.
 
     The cleared variables are set to ``""``, not deleted: the SDK merges this mapping over
@@ -144,11 +153,19 @@ def _ship_env(target: Target, auth_mode: AuthMode) -> dict[str, str]:
     explicit empty value overrides the inherited one, which the CLI reads as unset.
     """
     env = dict(os.environ)
-    drop = API_AUTH_ENV_VARS if auth_mode == "session" else (SESSION_AUTH_ENV_VAR,)
+    if provider == "claude":
+        drop = [*CODEX_API_AUTH_ENV_VARS]
+        drop += API_AUTH_ENV_VARS if auth_mode == "session" else [SESSION_AUTH_ENV_VAR]
+    else:
+        drop = [*API_AUTH_ENV_VARS, SESSION_AUTH_ENV_VAR]
+        if auth_mode == "session":
+            drop += CODEX_API_AUTH_ENV_VARS
     for var in drop:
         env[var] = ""
+    if provider == "codex" and auth_mode == "api":
+        env["CODEX_API_KEY"] = os.environ.get("CODEX_API_KEY") or os.environ.get("OPENAI_API_KEY", "")
     parts = [str(target.bin_dir)]
-    cli_dir = claude_cli_dir()
+    cli_dir = agent_cli_dir(provider)
     if cli_dir is not None:
         parts.append(str(cli_dir))
     existing = env.get("PATH", "")
@@ -239,33 +256,35 @@ async def ship_skill(
             skill_src=skill_src,
             mode=mode,
         )
-        options = ClaudeAgentOptions(
+        selected_model = model or cfg.ship_model
+        provider = provider_for_model(selected_model)
+        options = AgentOptions(
             # The agent edits the checkout in place, so its cwd IS the checkout.
-            cwd=str(target.src_dir),
+            cwd=target.src_dir,
             # Real environment — NOT scrubbed: git/gh creds + network + uv. Marked with the
             # holder so the teardown below can find whatever the agent leaves running; the
             # holder path appears nowhere else in this agent's environment.
-            env=label_env(_ship_env(target, auth_mode), holder),
-            model=model or cfg.ship_model,
+            env=label_env(_ship_env(target, auth_mode, provider), holder),
+            model=selected_model,
             # No default budget cap: only bound the agent if the caller asked.
             max_turns=max_turns,
-            max_budget_usd=max_usd,
+            max_usd=max_usd,
+            # Codex reports no billed figure, so a budget cap needs the run's own rate table.
+            price_usd=pricer(selected_model, cfg.prices),
             # It reads the staged skill payload to copy into the wheel.
-            add_dirs=[str(skill_src)],
+            add_dirs=(skill_src,),
             # No skill discovery: the shipper packages a skill, it does not consume one.
-            setting_sources=[],
-            permission_mode="bypassPermissions",
-            system_prompt={"type": "preset", "preset": "claude_code"},
+            discover_skills=False,
         )
 
-        result: ResultMessage | None = None
+        result: AgentResult | None = None
         agent_error: Exception | None = None
         try:
-            async for message in query(prompt=prompt, options=options):
-                if log is not None:
-                    log.append(message)
-                if isinstance(message, ResultMessage):
-                    result = message
+            result = await run_agent(
+                prompt,
+                options=options,
+                on_event=log.append if log is not None else None,
+            )
         except Exception as err:  # noqa: BLE001 - a failed ship is an error to report, re-raised below
             agent_error = err
         finally:
diff --git a/src/acumen/taskgen.py b/src/acumen/taskgen.py
index 0fa0291..1fc3393 100644
--- a/src/acumen/taskgen.py
+++ b/src/acumen/taskgen.py
@@ -11,7 +11,8 @@
 ``HOME`` and ``CLAUDE_CONFIG_DIR``.
 
 **Existing skills must not bias task generation.** A target repo may already ship skills or
-agent-instruction files (``SKILL.md``, ``.claude/skills/``, ``CLAUDE.md``, ``AGENTS.md``,
+agent-instruction files (``SKILL.md``, ``.agents/skills/``, ``.claude/skills/``,
+``CLAUDE.md``, ``AGENTS.md``,
 ``.cursor/``, Copilot instructions). If the generator read them, it would mine the tasks the
 author already anticipated and phrase them the way the skill does — defeating the point of an
 independent benchmark. So, as with the test-split guard, this is enforced two ways: the agent
@@ -34,14 +35,18 @@
 import tempfile
 from dataclasses import dataclass
 from pathlib import Path
-from typing import Any
+from typing import TYPE_CHECKING, Any
 
 import yaml
-from claude_agent_sdk import ClaudeAgentOptions, HookMatcher, ResultMessage, query
 
+if TYPE_CHECKING:
+    from claude_agent_sdk import HookMatcher
+
+from acumen.agents import AgentOptions, AgentResult, provider_for_model, run_agent
 from acumen.config import Config
 from acumen.env import AuthMode, Target, build_agent_env
 from acumen.logs import LiveLog
+from acumen.prices import pricer
 from acumen.procs import label_env, reap
 from acumen.prompts import taskgen_prompt
 from acumen.tasks import Task, TaskError, load_tasks
@@ -55,8 +60,8 @@
 _ARTIFACT_BASENAMES = frozenset({"SKILL.md", "CLAUDE.md", "AGENTS.md", "copilot-instructions.md"})
 
 #: Directory names that hold agent guidance; dropped from the copy and denied wherever they
-#: appear on a resolved path (``.claude/skills``, ``.cursor/rules``, …).
-_ARTIFACT_DIRS = frozenset({".claude", ".cursor"})
+#: appear on a resolved path (``.agents/skills``, ``.claude/skills``, ``.cursor/rules``, …).
+_ARTIFACT_DIRS = frozenset({".agents", ".claude", ".codex", ".cursor"})
 
 #: tool_input keys carrying a filesystem path — the coarse set the improver's guard also uses.
 _PATH_KEYS = ("file_path", "path", "notebook_path", "filename")
@@ -194,6 +199,10 @@ def make_skill_guard(original_src: Path) -> HookMatcher:
     ``matcher=None`` fires the hook for every tool. Paths are resolved against the real source
     checkout, so the guard holds regardless of the agent's ``cwd``.
     """
+    # Imported here, not at module scope: the Claude SDK is an optional dependency and a
+    # Codex-only install never builds an SDK hook.
+    from claude_agent_sdk import HookMatcher
+
     root = original_src.resolve()
 
     async def guard(input_data: dict[str, Any], tool_use_id: str | None, context: Any) -> dict[str, Any]:
@@ -333,7 +342,9 @@ async def generate_tasks(
     try:
         work = holder / "work"
         home = holder / "home"
-        config_dir = home / ".claude"
+        selected_model = model or cfg.tasks_model
+        provider = provider_for_model(selected_model)
+        config_dir = home / (".claude" if provider == "claude" else ".codex")
         for path in (work, home, config_dir, home / "tmp"):
             path.mkdir(parents=True, exist_ok=True)
         staged = work / TASKS_FILE
@@ -350,6 +361,7 @@ async def generate_tasks(
                 extra_path=[target.bin_dir],
                 auth_mode=auth_mode,
                 extra_allow=cfg.env_passthrough,
+                provider=provider,
             ),
             holder,
         )
@@ -361,33 +373,36 @@ async def generate_tasks(
             out=staged,
             feedback=feedback,
         )
-        options = ClaudeAgentOptions(
-            cwd=str(work),
+        options = AgentOptions(
+            cwd=work,
             env=env,
-            model=model or cfg.tasks_model,
+            model=selected_model,
             # No default budget cap: only bound the agent if the caller asked.
             max_turns=max_turns,
-            max_budget_usd=max_usd,
+            max_usd=max_usd,
+            # Codex reports no billed figure, so a budget cap needs the run's own rate table.
+            price_usd=pricer(selected_model, cfg.prices),
             # The generator reads the target source, like the drafter; benchmark agents
             # never do. It points at the *filtered* copy, not the real checkout.
-            add_dirs=[str(source_copy)],
+            add_dirs=(source_copy,),
             # No skill discovery at all — the generator must not load a skill that would bias it.
-            setting_sources=[],
-            permission_mode="bypassPermissions",
-            system_prompt={"type": "preset", "preset": "claude_code"},
+            discover_skills=False,
             # Belt-and-braces over the filtered copy: deny any call that reaches an existing
-            # skill/guidance artifact or the original unfiltered source, wherever pointed.
-            hooks={"PreToolUse": [make_skill_guard(target.src_dir)]},
+            # skill/guidance artifact or the original unfiltered source, wherever pointed. Built
+            # only for Claude — the hook is an SDK object, and Codex gets ``deny_paths`` below.
+            claude_hooks={"PreToolUse": [make_skill_guard(target.src_dir)]} if provider == "claude" else None,
+            # Codex reads the filtered copy and is denied the original checkout.
+            deny_paths=(target.src_dir.resolve(),),
         )
 
-        result: ResultMessage | None = None
+        result: AgentResult | None = None
         agent_error: Exception | None = None
         try:
-            async for message in query(prompt=prompt, options=options):
-                if log is not None:
-                    log.append(message)
-                if isinstance(message, ResultMessage):
-                    result = message
+            result = await run_agent(
+                prompt,
+                options=options,
+                on_event=log.append if log is not None else None,
+            )
         except Exception as err:  # noqa: BLE001 - a failed generation is an error to report, re-raised below
             agent_error = err
         finally:
diff --git a/src/acumen/transcript.py b/src/acumen/transcript.py
index b659945..6bc3988 100644
--- a/src/acumen/transcript.py
+++ b/src/acumen/transcript.py
@@ -1,4 +1,4 @@
-"""Locating and rendering SDK-native transcripts — shared by the runner and the meta-agents.
+"""Locating and rendering agent transcripts — shared by the runner and the meta-agents.
 
 The benchmark runner has always done this per run: after an agent finishes, find the
 transcript the ``claude`` CLI wrote (under ``<CLAUDE_CONFIG_DIR>/projects/<key>/<session>.jsonl``),
@@ -7,18 +7,25 @@
 can render an HTML log of their own agent the same way, instead of losing the transcript to the
 ``rmtree`` of a throwaway config dir.
 
-The transcript path is fully determined by the throwaway ``CLAUDE_CONFIG_DIR`` and the agent's
-``cwd`` (both of which acumen sets) plus the ``session_id`` on the ``ResultMessage``.
+The Claude transcript path is fully determined by the throwaway ``CLAUDE_CONFIG_DIR`` and the
+agent's ``cwd`` (both of which acumen sets) plus the ``session_id`` on the ``ResultMessage``.
+
+Codex is rendered here rather than handed to ``claude-code-log``: that tool reads the SDK-native
+format only, and given a Codex event stream it skips every line, **still exits 0**, and writes an
+empty page — a silent wrong answer. :func:`render_codex_transcript` renders the event stream
+acumen already captures, so both providers produce a readable HTML log from their own format.
 """
 
 from __future__ import annotations
 
+import json
 import shutil
 import subprocess
 import sys
+from collections.abc import Iterable
+from html import escape
 from pathlib import Path
-
-from claude_agent_sdk import project_key_for_directory
+from typing import Any
 
 
 def locate_transcript(config_dir: Path, work_dir: Path, session_id: str) -> Path | None:
@@ -43,6 +50,10 @@ def locate_transcript(config_dir: Path, work_dir: Path, session_id: str) -> Path
     -------
     The transcript path, or ``None`` if it could not be found.
     """
+    # Imported lazily: a Codex-only install has no Claude SDK, and this module is imported by
+    # the runner on every run regardless of provider.
+    from claude_agent_sdk import project_key_for_directory
+
     transcript_root = config_dir / "projects"
     key = project_key_for_directory(str(work_dir))
     direct = transcript_root / key / f"{session_id}.jsonl"
@@ -55,9 +66,10 @@ def locate_transcript(config_dir: Path, work_dir: Path, session_id: str) -> Path
 def claude_code_log() -> str | None:
     """Locate the ``claude-code-log`` CLI.
 
-    It is a dependency of acumen, so it lives next to the interpreter running us — look there
-    before PATH, which won't contain the venv's ``bin`` when acumen is invoked by absolute path
-    rather than through an activated venv.
+    It ships with acumen's ``claude`` extra, so it lives next to the interpreter running us —
+    look there before PATH, which won't contain the venv's ``bin`` when acumen is invoked by
+    absolute path rather than through an activated venv. ``None`` when it is not installed,
+    which is the normal state of a Codex-only install.
     """
     local = Path(sys.executable).parent / "claude-code-log"
     if local.is_file():
@@ -75,3 +87,143 @@ def render_transcript(jsonl: Path, html: Path) -> bool:
         return False
     proc = subprocess.run([cli, str(jsonl), "-o", str(html)], capture_output=True, text=True)
     return proc.returncode == 0 and html.is_file()
+
+
+_CODEX_CSS = """\
+:root { color-scheme: light dark; }
+body { font: 14px/1.5 ui-sans-serif, system-ui, sans-serif; margin: 0 auto; max-width: 60rem; padding: 2rem 1rem; }
+h1 { font-size: 1.25rem; margin: 0 0 .25rem; }
+.meta { color: #6b7280; font-size: .8rem; margin-bottom: 1.5rem; }
+.item { border-left: 3px solid #d1d5db; margin: 0 0 1rem; padding: .25rem 0 .25rem .75rem; }
+.item > .label { color: #6b7280; font-size: .7rem; letter-spacing: .04em; text-transform: uppercase; }
+.agent_message { border-left-color: #6b8f71; }
+.reasoning { border-left-color: #b6a8c9; color: #6b7280; }
+.command_execution { border-left-color: #7f9cb5; }
+.file_change { border-left-color: #d0a05a; }
+.failed { border-left-color: #c0685c; }
+pre { background: #00000010; border-radius: .25rem; margin: .35rem 0 0; overflow-x: auto; padding: .5rem .65rem; white-space: pre-wrap; word-break: break-word; }
+.text { white-space: pre-wrap; }
+.exit { color: #6b7280; font-size: .75rem; }
+table { border-collapse: collapse; font-size: .8rem; margin-top: .5rem; }
+td { border-top: 1px solid #d1d5db; padding: .2rem .75rem .2rem 0; }
+td.n { text-align: right; }
+"""
+
+#: How much of one command's captured output the page keeps. A benchmark agent can print a
+#: whole dataframe; the transcript is for reading, and the full output is in the JSONL beside it.
+_OUTPUT_CAP = 20_000
+
+
+def _codex_block(item: dict[str, Any], *, incomplete: bool) -> str:
+    """Render one Codex item as an HTML block."""
+    kind = str(item.get("type") or "item")
+    label = kind.replace("_", " ") + (" (unfinished)" if incomplete else "")
+    parts = [
+        f'<div class="item {escape(kind)}{" failed" if incomplete else ""}">',
+        f'<div class="label">{escape(label)}</div>',
+    ]
+    if kind in {"agent_message", "reasoning"}:
+        parts.append(f'<div class="text">{escape(str(item.get("text") or ""))}</div>')
+    elif kind == "command_execution":
+        parts.append(f"<pre>{escape(str(item.get('command') or ''))}</pre>")
+        output = str(item.get("aggregated_output") or "")
+        if output.strip():
+            clipped = output[:_OUTPUT_CAP]
+            suffix = "" if len(output) <= _OUTPUT_CAP else f"\n… {len(output) - _OUTPUT_CAP} more characters"
+            parts.append(f"<pre>{escape(clipped + suffix)}</pre>")
+        code = item.get("exit_code")
+        if code is not None:
+            parts.append(f'<div class="exit">exit {escape(str(code))}</div>')
+    else:
+        # file_change, mcp_tool_call, web_search, todo_list, and anything Codex adds later:
+        # dump the item verbatim rather than silently drop what we have no template for.
+        body = {key: value for key, value in item.items() if key not in {"id", "type"}}
+        parts.append(f"<pre>{escape(json.dumps(body, indent=2, default=str))}</pre>")
+    parts.append("</div>")
+    return "".join(parts)
+
+
+def _codex_usage_table(usage: dict[str, Any]) -> str:
+    rows = "".join(
+        f"<tr><td>{escape(str(key))}</td><td class='n'>{escape(str(value))}</td></tr>" for key, value in usage.items()
+    )
+    return f"<table>{rows}</table>"
+
+
+def render_codex_events(events: Iterable[dict[str, Any]], html: Path) -> bool:
+    """Render a ``codex exec --json`` event stream to a standalone HTML file.
+
+    Items are rendered in the order Codex completed them. An item that only ever ``started`` —
+    what a run terminated at its turn cap leaves behind — is rendered too, marked unfinished, so
+    a capped run still shows what it was doing when acumen stopped it.
+
+    Returns
+    -------
+    Whether the file was written.
+    """
+    started: dict[str, dict[str, Any]] = {}
+    blocks: list[str] = []
+    session = ""
+    usage: dict[str, Any] = {}
+    errors: list[str] = []
+    for event in events:
+        kind = event.get("type")
+        if kind == "thread.started":
+            session = str(event.get("thread_id") or "")
+        elif kind == "turn.completed":
+            raw = event.get("usage")
+            if isinstance(raw, dict):
+                usage = raw
+        elif kind in {"error", "turn.failed"}:
+            errors.append(str(event.get("message") or event.get("error") or event))
+        elif kind in {"item.started", "item.completed"}:
+            item = event.get("item")
+            if not isinstance(item, dict):
+                continue
+            key = str(item.get("id") or len(blocks))
+            if kind == "item.started":
+                started[key] = item
+            else:
+                started.pop(key, None)
+                blocks.append(_codex_block(item, incomplete=False))
+    blocks.extend(_codex_block(item, incomplete=True) for item in started.values())
+    if errors:
+        joined = escape("\n".join(errors))
+        blocks.append(f'<div class="item failed"><div class="label">error</div><pre>{joined}</pre></div>')
+
+    meta = f"thread {escape(session)}" if session else "no thread id"
+    body = "".join(blocks) or '<div class="item"><div class="label">no events</div></div>'
+    footer = _codex_usage_table(usage) if usage else ""
+    html.parent.mkdir(parents=True, exist_ok=True)
+    html.write_text(
+        "<!doctype html>\n"
+        '<html lang="en"><head><meta charset="utf-8">'
+        '<meta name="viewport" content="width=device-width, initial-scale=1">'
+        f"<title>codex transcript</title><style>{_CODEX_CSS}</style></head><body>"
+        f'<h1>codex transcript</h1><div class="meta">{meta}</div>{body}{footer}'
+        "</body></html>\n",
+        encoding="utf-8",
+    )
+    return html.is_file()
+
+
+def render_codex_transcript(jsonl: Path, html: Path) -> bool:
+    """Render a saved Codex event stream (one JSON object per line) to HTML."""
+    try:
+        lines = jsonl.read_text(encoding="utf-8").splitlines()
+    except OSError:
+        return False
+    events: list[dict[str, Any]] = []
+    for line in lines:
+        try:
+            event = json.loads(line)
+        except json.JSONDecodeError:
+            continue
+        if isinstance(event, dict):
+            events.append(event)
+    return render_codex_events(events, html)
+
+
+def render_agent_transcript(jsonl: Path, html: Path, *, provider: str) -> bool:
+    """Render a run's transcript with the renderer that understands its format."""
+    return render_codex_transcript(jsonl, html) if provider == "codex" else render_transcript(jsonl, html)
diff --git a/tests/conftest.py b/tests/conftest.py
index 4518751..842678a 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -1,8 +1,8 @@
 """Shared fixtures for the acumen test suite.
 
 The suite is deliberately small and offline: it covers the CLI's main commands and the
-pure helpers underneath them, and never spawns an agent. Anything that would call the
-Claude Agent SDK (``draft``, ``improve``, ``tasks``, ``ship``) is only exercised up to
+pure helpers underneath them, and never spawns an agent. Anything that would call a
+Claude or Codex agent (``draft``, ``improve``, ``tasks``, ``ship``) is only exercised up to
 the pre-flight checks that run *before* the agent — those are the parts a unit test can
 honestly assert.
 """
diff --git a/tests/test_cli.py b/tests/test_cli.py
index ed2de59..ba9ede7 100644
--- a/tests/test_cli.py
+++ b/tests/test_cli.py
@@ -16,6 +16,7 @@
 from acumen.cli import build_parser, main
 from acumen.config import load_config
 from acumen.paths import RunKey
+from acumen.prices import RATES_AS_OF
 from acumen.tasks import load_tasks
 
 
@@ -46,7 +47,16 @@ def test_init_writes_files_the_loaders_accept(tmp_path: Path, capsys: pytest.Cap
     config, tasks = tmp_path / "config.yaml", tmp_path / "tasks.yaml"
     assert config.is_file() and tasks.is_file()
     # The scaffold is a placeholder, but it must still be a *valid* placeholder.
-    assert load_config(config).repo.startswith("https://")
+    loaded = load_config(config)
+    assert loaded.repo.startswith("https://")
+    assert loaded.models == [
+        "claude-opus-5",
+        "claude-sonnet-5",
+        "claude-haiku-4-5-20251001",
+        "gpt-5.6-sol",
+        "gpt-5.6-terra",
+        "gpt-5.6-luna",
+    ]
     assert [t.id for t in load_tasks(tasks)] == ["example_task"]
     assert "wrote" in capsys.readouterr().out
 
@@ -205,3 +215,13 @@ def test_ship_rejects_an_unknown_version(project: Path, skills_root: Path, capsy
 
     assert exit_code == 2
     assert "no such skill version" in capsys.readouterr().err
+
+
+def test_prices_lists_the_rate_table_without_touching_the_network(
+    tmp_path: Path, capsys: pytest.CaptureFixture[str]
+) -> None:
+    """`acumen prices` is the offline view; only --refresh reaches for the network."""
+    assert main(["prices", "--config", str(tmp_path / "absent.yaml")]) == 0
+    out = capsys.readouterr().out
+    assert "claude-opus-5" in out and "gpt-5.6-sol" in out
+    assert RATES_AS_OF in out
diff --git a/tests/test_core.py b/tests/test_core.py
index 7cfbb48..684c04e 100644
--- a/tests/test_core.py
+++ b/tests/test_core.py
@@ -6,6 +6,8 @@
 
 from __future__ import annotations
 
+import ast
+import asyncio
 import json
 import os
 import re
@@ -13,6 +15,7 @@
 import sys
 import time
 from dataclasses import replace
+from datetime import date
 from pathlib import Path
 
 import pandas as pd
@@ -20,6 +23,16 @@
 from matplotlib import pyplot as plt
 from matplotlib.colors import to_hex
 
+import acumen
+from acumen.agents import (
+    AgentError,
+    AgentOptions,
+    _codex_terminal,
+    _install_codex_guard,
+    check_agent_cli,
+    provider_for_model,
+    run_agent,
+)
 from acumen.bench import build_matrix, pending
 from acumen.config import ConfigError, derive_skill_name, load_config, parse_config
 from acumen.env import (
@@ -27,16 +40,17 @@
     EnvError,
     Target,
     api_auth_available,
-    auth_available,
     build_agent_env,
-    check_auth,
     resolve_auth_mode,
     scrubbed_env,
     session_auth_available,
 )
 from acumen.grade import grade_answer, grade_run
 from acumen.improve import _write_material, collect_train_runs, load_rates
+from acumen.logs import LiveLog
 from acumen.paths import RunKey, arm_name, is_complete, parse_run_dir, run_dir
+from acumen.pricefeed import PriceFeedError, diff_rates, parse_anthropic, parse_openai
+from acumen.prices import DEFAULT_RATES, Rates, Usage, normalize_usage, price_run, pricer, resolve_rates
 from acumen.procs import label_env, reap, supported, survivors
 from acumen.prompts import draft_prompt, feedback_block, improve_prompt
 from acumen.report import (
@@ -58,10 +72,11 @@
     skill_tests,
     tradeoff_figure,
 )
-from acumen.runner import StderrFilter, _skill_fired
+from acumen.runner import StderrFilter, _skill_fired, _terminal_reason
 from acumen.ship import _ship_env
 from acumen.skills import SkillError, load_skill, read_meta, skill_hash, write_meta
 from acumen.tasks import TaskError, load_tasks, parse_tasks
+from acumen.transcript import render_agent_transcript, render_codex_transcript
 
 # --- grading ---------------------------------------------------------------------------
 
@@ -193,6 +208,515 @@ def transcript(*skills: str) -> Path:
     assert _skill_fired(tmp_path / "absent.jsonl", "target") is None
 
 
+def test_codex_skill_fired_matches_project_skill_read(tmp_path: Path) -> None:
+    path = tmp_path / "codex.jsonl"
+    path.write_text(
+        json.dumps(
+            {
+                "type": "item.completed",
+                "item": {
+                    "type": "command_execution",
+                    "command": "sed -n '1,200p' .agents/skills/target/SKILL.md",
+                },
+            }
+        )
+        + "\n"
+    )
+    assert _skill_fired(path, "target", provider="codex") is True
+    assert _skill_fired(path, "another", provider="codex") is False
+
+
+@pytest.mark.parametrize(
+    ("model", "provider"),
+    [
+        ("claude-opus-5", "claude"),
+        ("anthropic/claude-sonnet-5", "claude"),
+        ("gpt-5.6-sol", "codex"),
+        ("openai/gpt-5.6-terra", "codex"),
+        ("o4-mini", "codex"),
+    ],
+)
+def test_provider_for_model(model: str, provider: str) -> None:
+    assert provider_for_model(model) == provider
+
+
+def test_provider_for_model_rejects_ambiguous_ids() -> None:
+    with pytest.raises(AgentError, match="cannot infer"):
+        provider_for_model("custom-model")
+
+
+def test_codex_terminal_normalizes_jsonl() -> None:
+    result = _codex_terminal(
+        [
+            {"type": "thread.started", "thread_id": "thread-1"},
+            {"type": "turn.started"},
+            {
+                "type": "item.completed",
+                "item": {"type": "agent_message", "text": "done"},
+            },
+            {
+                "type": "turn.completed",
+                "usage": {
+                    "input_tokens": 100,
+                    "cached_input_tokens": 60,
+                    "output_tokens": 20,
+                },
+            },
+        ],
+        0,
+        1234,
+    )
+    assert result.provider == "codex"
+    assert result.session_id == "thread-1"
+    assert result.result == "done"
+    assert result.num_turns == 1
+    assert result.usage["input_tokens"] == 100
+    assert result.total_cost_usd is None
+    assert not result.is_error
+
+
+def test_codex_adapter_runs_jsonl_cli(tmp_path: Path) -> None:
+    fake = tmp_path / "codex"
+    fake.write_text(
+        """#!/bin/sh
+printf '%s\\n' \\
+  '{"type":"thread.started","thread_id":"thread-1"}' \\
+  '{"type":"turn.started"}' \\
+  '{"type":"item.completed","item":{"type":"agent_message","text":"done"}}' \\
+  '{"type":"turn.completed","usage":{"input_tokens":12,"output_tokens":3}}'
+"""
+    )
+    fake.chmod(0o755)
+    seen: list[dict] = []
+    result = asyncio.run(
+        run_agent(
+            "write the answer",
+            options=AgentOptions(
+                cwd=tmp_path,
+                env={"PATH": f"{tmp_path}:/usr/bin", "HOME": str(tmp_path)},
+                model="gpt-5.6-sol",
+            ),
+            on_event=seen.append,
+        )
+    )
+    assert result.result == "done"
+    assert result.usage == {"input_tokens": 12, "output_tokens": 3}
+    assert len(seen) == 4
+
+
+def test_codex_guard_denies_isolated_paths(tmp_path: Path) -> None:
+    denied = tmp_path / "runs"
+    denied.mkdir()
+    work = tmp_path / "work"
+    work.mkdir()
+    codex_home = tmp_path / "codex-home"
+    options = AgentOptions(
+        cwd=work,
+        env={"CODEX_HOME": str(codex_home)},
+        model="gpt-5.6-sol",
+        deny_paths=(denied,),
+    )
+    _install_codex_guard(options)
+
+    hooks = json.loads((work / ".codex" / "hooks.json").read_text())
+    assert "acumen_guard.py" in hooks["hooks"]["PreToolUse"][0]["hooks"][0]["command"]
+    payload = json.dumps(
+        {
+            "cwd": str(work),
+            "tool_name": "Bash",
+            "tool_input": {"command": f"cat {denied / 'skill_v1/test/result.json'}"},
+        }
+    )
+    proc = subprocess.run(
+        [sys.executable, str(codex_home / "acumen_guard.py")],
+        input=payload,
+        text=True,
+        capture_output=True,
+        check=True,
+    )
+    decision = json.loads(proc.stdout)
+    assert decision["hookSpecificOutput"]["permissionDecision"] == "deny"
+
+
+def _fake_codex(path: Path, events: list[dict]) -> Path:
+    """Write a stub ``codex`` CLI that replays ``events`` as JSONL and exits 0."""
+    lines = "".join(f"  '{json.dumps(event)}' \\\n" for event in events).rstrip(" \\\n")
+    cli = path / "codex"
+    cli.write_text(f"#!/bin/sh\nprintf '%s\\n' \\\n{lines}\n")
+    cli.chmod(0o755)
+    return cli
+
+
+def _codex_options(tmp_path: Path, **kwargs: object) -> AgentOptions:
+    return AgentOptions(
+        cwd=tmp_path,
+        env={"PATH": f"{tmp_path}:/usr/bin", "HOME": str(tmp_path)},
+        model="gpt-5.6-sol",
+        **kwargs,  # type: ignore[arg-type]
+    )
+
+
+def test_codex_turns_count_model_actions_not_exec_invocations() -> None:
+    """`codex exec` is one turn however much work happens inside it.
+
+    Counting ``turn.started`` would record 1 for every Codex run, which makes the turns column
+    meaningless and leaves ``max_turns`` with nothing to bite on. Completed items are the unit.
+    """
+    result = _codex_terminal(
+        [
+            {"type": "turn.started"},
+            {"type": "item.completed", "item": {"type": "reasoning", "text": "thinking"}},
+            {"type": "item.completed", "item": {"type": "command_execution", "command": "echo one"}},
+            {"type": "item.completed", "item": {"type": "command_execution", "command": "echo two"}},
+            {"type": "item.completed", "item": {"type": "todo_list", "items": []}},
+            {"type": "item.completed", "item": {"type": "agent_message", "text": "done"}},
+            {"type": "turn.completed", "usage": {"input_tokens": 1}},
+        ],
+        0,
+        10,
+    )
+    # Two commands and the message; reasoning and bookkeeping are not actions.
+    assert result.num_turns == 3
+
+
+def test_codex_stops_at_the_turn_cap(tmp_path: Path) -> None:
+    _fake_codex(
+        tmp_path,
+        [
+            {"type": "thread.started", "thread_id": "t"},
+            {"type": "turn.started"},
+            {"type": "item.completed", "item": {"id": "a", "type": "command_execution", "command": "echo one"}},
+            {"type": "item.completed", "item": {"id": "b", "type": "command_execution", "command": "echo two"}},
+            {"type": "item.completed", "item": {"id": "c", "type": "agent_message", "text": "never reached"}},
+            {"type": "turn.completed", "usage": {"input_tokens": 999}},
+        ],
+    )
+    result = asyncio.run(run_agent("go", options=_codex_options(tmp_path, max_turns=2)))
+
+    assert result.is_error
+    assert result.subtype == "error_max_turns"
+    assert result.num_turns == 2
+    # The agent is stopped at the cap, so the events after it are never recorded…
+    assert result.result == ""
+    # …and the run is a cap breach, not a crashed CLI.
+    assert result.errors == ["acumen stopped the run at its turn cap"]
+
+
+def test_codex_stops_at_the_budget_cap(tmp_path: Path) -> None:
+    _fake_codex(
+        tmp_path,
+        [
+            {"type": "turn.started"},
+            {"type": "item.completed", "item": {"type": "agent_message", "text": "done"}},
+            {"type": "turn.completed", "usage": {"input_tokens": 1_000_000, "output_tokens": 0}},
+        ],
+    )
+    # gpt-5.6-sol bills $5/M input, so a million fresh input tokens is $5 against a $1 cap.
+    options = _codex_options(tmp_path, max_usd=1.0, price_usd=pricer("gpt-5.6-sol"))
+    result = asyncio.run(run_agent("go", options=options))
+
+    assert result.is_error
+    assert result.subtype == "error_max_budget_usd"
+
+
+def test_codex_budget_cap_is_inert_without_a_rate_for_the_model(tmp_path: Path) -> None:
+    """An unpriced model must not be capped as if it were free."""
+    _fake_codex(
+        tmp_path,
+        [
+            {"type": "item.completed", "item": {"type": "agent_message", "text": "done"}},
+            {"type": "turn.completed", "usage": {"input_tokens": 1_000_000}},
+        ],
+    )
+    options = _codex_options(tmp_path, max_usd=0.000_001, price_usd=pricer("gpt-unpriced-model"))
+    result = asyncio.run(run_agent("go", options=options))
+
+    assert not result.is_error
+    assert result.result == "done"
+
+
+@pytest.mark.parametrize(
+    ("subtype", "reason"),
+    [("error_max_turns", "max_turns"), ("error_max_budget_usd", "budget")],
+)
+def test_codex_cap_subtypes_map_onto_the_same_reasons_as_claude(subtype: str, reason: str) -> None:
+    """A cap breach must record the same reason whichever provider hit it."""
+    result = _codex_terminal([], -15, 10, subtype)
+    assert _terminal_reason(result) == reason
+
+
+def test_codex_transcript_renders_its_own_html(tmp_path: Path) -> None:
+    """`claude-code-log` reads the SDK format only — given Codex events it silently exits 0
+    and writes an empty page, so Codex is rendered here instead."""
+    jsonl = tmp_path / "transcript.jsonl"
+    jsonl.write_text(
+        "\n".join(
+            json.dumps(event)
+            for event in [
+                {"type": "thread.started", "thread_id": "thread-9"},
+                {"type": "item.completed", "item": {"id": "a", "type": "agent_message", "text": "<b>hi</b>"}},
+                {
+                    "type": "item.completed",
+                    "item": {
+                        "id": "b",
+                        "type": "command_execution",
+                        "command": "python -c 'print(1)'",
+                        "aggregated_output": "1\n",
+                        "exit_code": 0,
+                    },
+                },
+                # Started but never completed — what a turn-capped run leaves behind.
+                {"type": "item.started", "item": {"id": "c", "type": "command_execution", "command": "sleep 60"}},
+                {"type": "turn.completed", "usage": {"input_tokens": 41_214, "output_tokens": 122}},
+            ]
+        )
+        + "\n"
+    )
+    html = tmp_path / "transcript.html"
+    assert render_codex_transcript(jsonl, html) is True
+
+    body = html.read_text()
+    assert "thread-9" in body
+    assert "python -c &#x27;print(1)&#x27;" in body
+    assert "exit 0" in body
+    # Agent text is escaped, never injected as markup.
+    assert "&lt;b&gt;hi&lt;/b&gt;" in body and "<b>hi</b>" not in body
+    # The unfinished item survives, flagged as such.
+    assert "sleep 60" in body and "unfinished" in body
+    assert "41214" in body
+
+
+def test_codex_transcript_renders_without_events(tmp_path: Path) -> None:
+    jsonl = tmp_path / "empty.jsonl"
+    jsonl.write_text("not json\n")
+    html = tmp_path / "empty.html"
+    assert render_codex_transcript(jsonl, html) is True
+    assert "no events" in html.read_text()
+    assert render_codex_transcript(tmp_path / "missing.jsonl", tmp_path / "missing.html") is False
+
+
+def test_render_agent_transcript_dispatches_on_provider(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
+    jsonl = tmp_path / "t.jsonl"
+    jsonl.write_text(json.dumps({"type": "item.completed", "item": {"type": "agent_message", "text": "hi"}}) + "\n")
+    calls: list[str] = []
+    monkeypatch.setattr("acumen.transcript.render_transcript", lambda *_: calls.append("claude") or True)
+
+    assert render_agent_transcript(jsonl, tmp_path / "codex.html", provider="codex") is True
+    assert calls == []
+    assert render_agent_transcript(jsonl, tmp_path / "claude.html", provider="claude") is True
+    assert calls == ["claude"]
+
+
+def test_backends_are_optional_at_import_time() -> None:
+    """A Codex-only install has no Claude SDK, so nothing may import it at module scope.
+
+    This is the invariant that keeps ``import acumen`` working with either backend installed
+    alone; the SDK may only be reached inside a function or under ``TYPE_CHECKING``.
+    """
+    offenders: list[str] = []
+    for path in sorted(Path(acumen.__file__).parent.rglob("*.py")):
+        for node in ast.parse(path.read_text()).body:
+            if isinstance(node, ast.If) and ast.unparse(node.test) == "TYPE_CHECKING":
+                continue  # annotations only — never executed
+            for child in ast.walk(node) if isinstance(node, ast.If | ast.Try) else [node]:
+                module = getattr(child, "module", None) if isinstance(child, ast.ImportFrom) else None
+                names = [alias.name for alias in getattr(child, "names", [])] if isinstance(child, ast.Import) else []
+                if (module or "").startswith("claude_agent_sdk") or any(
+                    name.startswith("claude_agent_sdk") for name in names
+                ):
+                    offenders.append(f"{path.name}:{child.lineno}")
+    assert offenders == []
+
+
+def test_missing_backend_fails_before_any_work(monkeypatch: pytest.MonkeyPatch) -> None:
+    """Both backends are optional, so both are preflighted the same way."""
+    monkeypatch.setattr("acumen.agents.claude_sdk_available", lambda: False)
+    with pytest.raises(AgentError, match=r"acumen\[claude\]"):
+        check_agent_cli("claude")
+
+    monkeypatch.setattr("acumen.agents.claude_sdk_available", lambda: True)
+    check_agent_cli("claude")
+
+    monkeypatch.setattr("acumen.agents.shutil.which", lambda _: None)
+    with pytest.raises(AgentError, match="codex is not on PATH"):
+        check_agent_cli("codex")
+
+
+def test_live_log_records_codex_without_the_claude_sdk(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
+    """The live JSONL is provider-neutral: Codex events are dicts, recognized without the SDK."""
+    monkeypatch.setattr("acumen.logs._sdk", lambda: None)
+    with LiveLog(tmp_path / "log.jsonl") as log:
+        log.append({"type": "item.completed", "item": {"type": "agent_message", "text": "done"}})
+        log.append(object())  # an SDK message on an install that cannot recognize it
+    events = [json.loads(line) for line in (tmp_path / "log.jsonl").read_text().splitlines()]
+    assert [event["type"] for event in events] == ["assistant"]
+    assert events[0]["text"] == "done"
+
+
+def test_usage_normalizes_both_providers_without_collapsing_the_cache_split() -> None:
+    """The cache classes are priced up to 10x apart, so they must survive normalization.
+
+    The two providers report the same information differently: Codex's ``input_tokens``
+    is the total with ``cached_input_tokens`` inside it, while the Claude SDK reports the
+    three classes side by side. Both normalize to a total ``input`` plus its parts.
+    """
+    claude = normalize_usage(
+        {
+            "input_tokens": 5_000,
+            "cache_read_input_tokens": 180_000,
+            "cache_creation_input_tokens": 15_000,
+            "output_tokens": 4_000,
+        }
+    )
+    assert (claude.input, claude.cache_read, claude.cache_write, claude.output) == (200_000, 180_000, 15_000, 4_000)
+    assert claude.fresh_input == 5_000
+
+    # Captured verbatim from a live `codex exec --json` turn.completed event.
+    codex = normalize_usage(
+        {
+            "input_tokens": 12_051,
+            "cached_input_tokens": 8_960,
+            "cache_write_input_tokens": 0,
+            "output_tokens": 5,
+            "reasoning_output_tokens": 0,
+        },
+        provider="codex",
+    )
+    assert (codex.input, codex.cache_read, codex.cache_write, codex.output) == (12_051, 8_960, 0, 5)
+    # Cached input is a subset of input_tokens, not an addition to it.
+    assert codex.fresh_input == 3_091
+    # reasoning_output_tokens is a subset of output_tokens, so it must not be added on.
+    assert codex.total == 12_056
+
+    written = normalize_usage(
+        {"input_tokens": 12_051, "cached_input_tokens": 8_000, "cache_write_input_tokens": 960, "output_tokens": 5},
+        provider="codex",
+    )
+    assert (written.cache_write, written.fresh_input) == (960, 3_091)
+
+    empty = normalize_usage(None)
+    assert (empty.input, empty.output, empty.total) == (0, 0, 0)
+
+
+def test_price_run_bills_each_cache_class_at_its_own_rate() -> None:
+    """Collapsing the split and billing it all at the base input rate overcharges ~3.6x.
+
+    That is the whole reason the breakdown is carried: a benchmark agent's input is
+    mostly cache reads, billed at a tenth of the base rate.
+    """
+    usage = Usage(input=200_000, cache_read=180_000, cache_write=15_000, output=4_000)
+    rates = resolve_rates("claude-opus-5")
+    assert rates is not None
+    # 5k @ $5 + 180k @ $0.50 + 15k @ $6.25 + 4k @ $25, per million.
+    assert price_run(usage, rates) == pytest.approx(0.30875)
+    collapsed = (usage.input * rates.input + usage.output * rates.output) / 1_000_000
+    assert collapsed > price_run(usage, rates) * 3
+
+
+def test_price_run_leaves_an_unpriced_model_unpriced_rather_than_free() -> None:
+    """``None`` is not ``0.0`` — a model with no rates must not read as a free one."""
+    assert resolve_rates("some-local-llm") is None
+    assert price_run(Usage(input=1, cache_read=0, cache_write=0, output=1), None) is None
+
+
+def test_resolve_rates_accepts_provider_qualified_ids_and_config_overrides() -> None:
+    assert resolve_rates("openai/gpt-5.6-sol") == resolve_rates("gpt-5.6-sol")
+    assert resolve_rates("Claude-Opus-5") == resolve_rates("claude-opus-5")
+
+    overrides = {"claude-opus-5": Rates(input=1.0, cached_input=0.1, cache_write=1.25, output=2.0)}
+    assert resolve_rates("claude-opus-5", overrides).input == 1.0
+    # An override for one model doesn't shadow the built-in table for the others.
+    assert resolve_rates("gpt-5.6-luna", overrides) == DEFAULT_RATES["gpt-5.6-luna"]
+
+
+def test_config_prices_block_validates_and_defaults_the_cache_rates() -> None:
+    cfg = parse_config(
+        {
+            "repo": "https://github.com/o/r",
+            "prices": {"my-gateway-model": {"input": 4.0, "output": 20.0}},
+        }
+    )
+    rates = cfg.prices["my-gateway-model"]
+    # Cache rates are optional; they default to the standard 0.1x / 1.25x of input.
+    assert (rates.input, rates.output, rates.cached_input, rates.cache_write) == (4.0, 20.0, 0.4, 5.0)
+
+    for bad in ({"input": 4.0}, {"input": -1.0, "output": 2.0}, {"input": 1.0, "output": 2.0, "nope": 3.0}, []):
+        with pytest.raises(ConfigError, match="prices"):
+            parse_config({"repo": "https://github.com/o/r", "prices": {"m": bad}})
+
+
+_ANTHROPIC_MD = """
+| Model | Base Input Tokens | 5m Cache Writes | 1h Cache Writes | Cache Hits & Refreshes | Output Tokens |
+|---|---|---|---|---|---|
+| Claude Opus 5 | $5 / MTok | $6.25 / MTok | $10 / MTok | $0.50 / MTok | $25 / MTok |
+| Claude Sonnet 5 [through August 31, 2026](/docs/pricing#intro) | $2 / MTok | $2.50 / MTok | $4 / MTok | $0.20 / MTok | $10 / MTok |
+| Claude Sonnet 5 starting September 1, 2026 | $3 / MTok | $3.75 / MTok | $6 / MTok | $0.30 / MTok | $15 / MTok |
+| Claude Haiku 4.5 | $1 / MTok | $1.25 / MTok | $2 / MTok | $0.10 / MTok | $5 / MTok |
+
+| Model | Batch input | Batch output |
+|---|---|---|
+| Claude Opus 5 | $2.50 / MTok | $12.50 / MTok |
+"""
+
+_OPENAI_MD = """
+### Standard pricing data
+
+| Model | Short context input | Short context cached input | Short context cache writes | Short context output | Long context input | Long context cached input | Long context cache writes | Long context output |
+|---|---|---|---|---|---|---|---|---|
+| gpt-5.6-sol | $5.00 | $0.50 | $6.25 | $30.00 | $10.00 | $1.00 | $12.50 | $45.00 |
+| gpt-5.6-luna | $0.20 | $0.02 | $0.25 | $1.20 | $0.40 | $0.04 | $0.50 | $1.80 |
+| gpt-5.5 (<272K context length) | $5.00 | $0.50 | - | $30.00 | $10.00 | $1.00 | - | $45.00 |
+
+### Batch pricing data
+
+| Model | Short context input | Short context cached input | Short context cache writes | Short context output | Long context input | Long context cached input | Long context cache writes | Long context output |
+|---|---|---|---|---|---|---|---|---|
+| gpt-5.6-sol | $2.50 | $0.25 | $3.125 | $15.00 | $5.00 | $0.50 | $6.25 | $22.50 |
+"""
+
+
+def test_price_feed_picks_the_rate_in_effect_on_a_dated_row() -> None:
+    """A promotional rate is published as two rows; taking the first would misprice runs."""
+    intro = parse_anthropic(_ANTHROPIC_MD, today=date(2026, 8, 3))
+    assert intro["claude-sonnet-5"] == Rates(input=2.0, cached_input=0.2, cache_write=2.5, output=10.0)
+
+    after = parse_anthropic(_ANTHROPIC_MD, today=date(2026, 9, 1))
+    assert after["claude-sonnet-5"] == Rates(input=3.0, cached_input=0.3, cache_write=3.75, output=15.0)
+
+    # Display names become API model IDs, and the batch table is not mistaken for the base one.
+    assert intro["claude-haiku-4-5"].input == 1.0
+    assert intro["claude-opus-5"].output == 25.0
+
+
+def test_price_feed_reads_standard_short_context_and_ignores_the_other_tiers() -> None:
+    """Batch is half price and long context roughly double — picking either misprices runs."""
+    rates = parse_openai(_OPENAI_MD)
+    assert rates["gpt-5.6-sol"] == Rates(input=5.0, cached_input=0.5, cache_write=6.25, output=30.0)
+    assert rates["gpt-5.6-luna"].output == 1.2
+    # A row whose cache columns are "-" falls back to the standard multiples of input.
+    assert rates["gpt-5.5"] == Rates(input=5.0, cached_input=0.5, cache_write=6.25, output=30.0)
+
+
+def test_price_feed_reports_a_changed_cache_rate_not_just_input_and_output() -> None:
+    """On a cached workload the cache rate is most of the bill, so a diff must surface it."""
+    current = {"claude-opus-5": Rates(input=5.0, cached_input=0.5, cache_write=6.25, output=25.0)}
+    same = diff_rates(current, {"claude-opus-5": current["claude-opus-5"]})
+    assert same == []
+
+    cheaper_cache = Rates(input=5.0, cached_input=0.25, cache_write=6.25, output=25.0)
+    (change,) = diff_rates(current, {"claude-opus-5": cheaper_cache})
+    assert change.kind == "changed"
+    assert "cached_input $0.5→$0.25" in change.describe()
+    assert "input $" not in change.describe().replace("cached_input $", "")
+
+
+def test_price_feed_parsers_fail_loudly_on_an_unrecognized_page() -> None:
+    """A silent empty parse would leave every model unpriced with no explanation."""
+    for parse in (lambda md: parse_anthropic(md, today=date(2026, 8, 3)), parse_openai):
+        with pytest.raises(PriceFeedError, match="layout may have changed"):
+            parse("# Pricing\n\nWe have moved our prices to a new page.\n")
+
+
 def test_stderr_filter_keeps_first_of_each_line() -> None:
     import io
 
@@ -344,34 +868,6 @@ def test_improve_prompt_separates_loading_from_the_body() -> None:
 # --- auth preflight --------------------------------------------------------------------
 
 
-def test_auth_preflight(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
-    # Point credential discovery at an empty throwaway dir and strip every auth variable,
-    # so the only auth in play is what the test sets.
-    monkeypatch.setenv("CLAUDE_CONFIG_DIR", str(tmp_path))
-    for var in AUTH_ENV_VARS:
-        monkeypatch.delenv(var, raising=False)
-
-    # No variable and no credentials file → unauthenticated, and check_auth fails loudly.
-    assert auth_available() is False
-    with pytest.raises(EnvError, match="no Claude credentials"):
-        check_auth()
-
-    # An empty variable does not count.
-    monkeypatch.setenv("ANTHROPIC_API_KEY", "")
-    assert auth_available() is False
-
-    # A non-empty auth variable authenticates.
-    monkeypatch.setenv("ANTHROPIC_API_KEY", "sk-test")
-    assert auth_available() is True
-    check_auth()  # does not raise
-
-    # So does a seeded credentials file, even with no auth variable set.
-    monkeypatch.delenv("ANTHROPIC_API_KEY", raising=False)
-    (tmp_path / ".credentials.json").write_text("{}")
-    assert auth_available() is True
-    check_auth()
-
-
 def _clear_auth(monkeypatch: pytest.MonkeyPatch, config_dir: Path) -> None:
     """Isolate auth detection: empty credential dir, every auth variable stripped."""
     monkeypatch.setenv("CLAUDE_CONFIG_DIR", str(config_dir))
@@ -454,6 +950,74 @@ def test_resolve_auth_mode_for_bench(tmp_path: Path, monkeypatch: pytest.MonkeyP
     assert resolve_auth_mode("api", allow_session=False) == "api"
 
 
+def test_codex_auth_resolution_and_isolated_env(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
+    real_home = tmp_path / "real-codex"
+    real_home.mkdir()
+    (real_home / "auth.json").write_text('{"tokens": {}}')
+    monkeypatch.setenv("CODEX_HOME", str(real_home))
+    monkeypatch.setenv("OPENAI_API_KEY", "sk-openai")
+    monkeypatch.delenv("CODEX_API_KEY", raising=False)
+
+    assert session_auth_available("codex")
+    assert api_auth_available("codex")
+    assert resolve_auth_mode("auto", allow_session=True, provider="codex") == "session"
+    assert resolve_auth_mode("api", allow_session=False, provider="codex") == "api"
+
+    isolated = tmp_path / "isolated-codex"
+    env = build_agent_env(
+        config_dir=isolated,
+        home=tmp_path / "home",
+        auth_mode="session",
+        provider="codex",
+    )
+    assert (isolated / "auth.json").is_file()
+    assert env["CODEX_HOME"] == str(isolated)
+    assert env["CODEX_API_KEY"] == ""
+    assert env["OPENAI_API_KEY"] == ""
+
+    api_home = tmp_path / "api-codex"
+    api_env = build_agent_env(
+        config_dir=api_home,
+        home=tmp_path / "api-home",
+        auth_mode="api",
+        provider="codex",
+    )
+    assert not (api_home / "auth.json").exists()
+    assert api_env["CODEX_API_KEY"] == "sk-openai"
+
+
+def test_scrubbed_env_never_carries_the_other_providers_credentials(
+    tmp_path: Path, monkeypatch: pytest.MonkeyPatch
+) -> None:
+    """A run authenticates with one provider, so the other's keys must not ride the allowlist in.
+
+    ``CODEX_API_KEY``/``OPENAI_API_KEY`` and the Anthropic variables are all allowlisted, so
+    without an explicit blank an operator with both configured hands every Claude agent their
+    OpenAI key and every Codex agent their Anthropic key — ambient secrets in a web-enabled
+    agent, and two live credentials where the module promises exactly one.
+    """
+    _clear_auth(monkeypatch, tmp_path)
+    monkeypatch.setenv("ANTHROPIC_API_KEY", "sk-ant")
+    monkeypatch.setenv("CLAUDE_CODE_OAUTH_TOKEN", "oauth-token")
+    monkeypatch.setenv("OPENAI_API_KEY", "sk-openai")
+    home = tmp_path / "home"
+
+    for mode in ("session", "api", None):
+        claude = scrubbed_env(config_dir=tmp_path / "cfg", home=home, auth_mode=mode, provider="claude")
+        assert claude["OPENAI_API_KEY"] == ""
+        assert claude["CODEX_API_KEY"] == ""
+
+        codex = scrubbed_env(config_dir=tmp_path / "cfg", home=home, auth_mode=mode, provider="codex")
+        assert codex["ANTHROPIC_API_KEY"] == ""
+        assert codex["CLAUDE_CODE_OAUTH_TOKEN"] == ""
+
+    # The selected provider's own credential still survives its mode.
+    api = scrubbed_env(config_dir=tmp_path / "cfg", home=home, auth_mode="api", provider="codex")
+    assert api["CODEX_API_KEY"] == "sk-openai"
+    session = scrubbed_env(config_dir=tmp_path / "cfg", home=home, auth_mode="session", provider="codex")
+    assert session["CODEX_API_KEY"] == ""
+
+
 def test_scrubbed_env_auth_mode_filters_credentials(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
     _clear_auth(monkeypatch, tmp_path)
     monkeypatch.setenv("ANTHROPIC_API_KEY", "sk-test")
diff --git a/umask.save b/umask.save
new file mode 100644
index 0000000..8b13789
--- /dev/null
+++ b/umask.save
@@ -0,0 +1 @@
+
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+wheels = [
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From b65fa4db05c64e96bd25b1f1a48b8ad65fa47b38 Mon Sep 17 00:00:00 2001
From: Intron7 <severin.dicks@icloud.com>
Date: Tue, 4 Aug 2026 13:20:35 +0200
Subject: [PATCH 02/15] fix claude costs

Signed-off-by: Intron7 <severin.dicks@icloud.com>
---
 CHANGELOG.md                     |  9 +++++++
 README.md                        | 10 ++++++--
 src/acumen/_skills/data/SKILL.md | 11 +++++---
 src/acumen/cli.py                | 43 +++++++++++++++++++++-----------
 src/acumen/env.py                | 37 ++++++++-------------------
 src/acumen/runner.py             |  3 +++
 src/acumen/scaffold.py           | 14 +++++++++++
 tests/test_cli.py                | 32 ++++++++++++++++++++++++
 tests/test_core.py               | 40 +++++++++++++++--------------
 9 files changed, 132 insertions(+), 67 deletions(-)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index 78063dc..5bdaa4a 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -33,8 +33,17 @@ and this project adheres to [Semantic Versioning][].
   stopped at the cap. `max_usd` can only mark the outcome: Codex reports usage when a turn
   ends, so an over-budget run is recorded as a `budget` failure after the spend.
 
+- Allow `acumen bench --auth {auto,session,api}`, defaulting to the provider's subscription
+  like every other command. The old API-only rule existed because a per-run `cost_usd` needed
+  metered billing; cost is now derived from token counts, which a subscription run reports
+  just as fully. `result.json` records the run's `auth_mode`, since under `session` the figure
+  is what the run would have cost at API rates rather than metered spend.
+
 ### Fixed
 
+- Let `acumen tasks` generate over the untouched `tasks.yaml` placeholder that `acumen init`
+  writes, instead of demanding `--force` — the two documented first steps of the loop
+  contradicted each other. A file the user has edited is still protected.
 - Stop feeding Codex transcripts to `claude-code-log`, which reads the SDK-native format
   only: it skipped every line, exited 0, and wrote an empty page that was then recorded as a
   successfully rendered transcript.
diff --git a/README.md b/README.md
index 3054a71..96956b0 100644
--- a/README.md
+++ b/README.md
@@ -91,8 +91,14 @@ install command, before acumen prepares a target or spends anything.
 
 Claude API runs use `ANTHROPIC_API_KEY`; Codex API runs use `CODEX_API_KEY` (or
 `OPENAI_API_KEY`). The meta-agent commands also accept a Codex model through their
-`*_model` config keys or `--model`, and `--auth auto` prefers that provider's logged-in
-subscription.
+`*_model` config keys or `--model`.
+
+Every agentic command — `bench` included — takes `--auth {auto,session,api}` and defaults to
+the provider's logged-in subscription, falling back to its API key. Since `cost_usd` is
+derived from token counts, which both billing modes report, a subscription run prices exactly
+as accurately as a metered one; what changes is the meaning. Under `session`, `cost_usd` is
+what the run *would* have cost at API rates, not money billed — so each run records its
+`auth_mode` alongside the figure.
 
 `max_turns` and `max_usd` apply to both providers, but they are not equally strict for Codex,
 which has no cap of its own — acumen enforces both against its event stream:
diff --git a/src/acumen/_skills/data/SKILL.md b/src/acumen/_skills/data/SKILL.md
index a30b50e..1228e2b 100644
--- a/src/acumen/_skills/data/SKILL.md
+++ b/src/acumen/_skills/data/SKILL.md
@@ -70,10 +70,13 @@ a command.
 - The target (`repo`: a GitHub URL or a local path) must be pip-installable and declare
   `[project].name` in `pyproject.toml`. A local `repo` path is resolved **relative to
   `config.yaml`**.
-- Credentials: `bench` **always bills the selected provider API** and has no `--auth`
-  flag. Claude needs `ANTHROPIC_API_KEY` (or Anthropic provider credentials); Codex
-  needs `CODEX_API_KEY` or `OPENAI_API_KEY`. `tasks`/`draft`/`improve`/`ship` default
-  to the selected provider's logged-in subscription (`--auth {auto,session,api}`).
+- Credentials: every agentic command takes `--auth {auto,session,api}` and defaults to the
+  selected provider's logged-in subscription, falling back to its API key. Claude uses
+  `ANTHROPIC_API_KEY` (or Anthropic provider credentials) / a `claude` login; Codex uses
+  `CODEX_API_KEY` or `OPENAI_API_KEY` / a `codex login`. `bench` included: cost comes from
+  token counts, which both billing modes report, so a subscription run prices as accurately
+  as a metered one — but under `session` `cost_usd` is what the run *would* have cost at API
+  rates, not metered spend. Each run records its `auth_mode`.
   Both backends are optional: `pip install acumen[claude]` for Claude, plain `acumen` plus
   the `codex` CLI for Codex. A model whose backend is missing fails preflight with the
   install command.
diff --git a/src/acumen/cli.py b/src/acumen/cli.py
index 37c8a08..dad120a 100644
--- a/src/acumen/cli.py
+++ b/src/acumen/cli.py
@@ -30,7 +30,7 @@
 from acumen.prices import DEFAULT_RATES, RATES_AS_OF, Rates, resolve_rates
 from acumen.report import ReportError, build_report
 from acumen.runner import RunOutcome, StderrFilter
-from acumen.scaffold import InitError, scaffold
+from acumen.scaffold import InitError, is_scaffold_tasks, scaffold
 from acumen.ship import ShipError, ship_skill
 from acumen.skills import SkillError, available_versions, latest_version, load_skill
 from acumen.taskgen import TaskGenError, generate_tasks
@@ -54,6 +54,7 @@ def _add_bench_args(parser: argparse.ArgumentParser) -> None:
     parser.add_argument("--cache", type=Path, default=DEFAULT_CACHE_ROOT, help="target cache root")
     parser.add_argument("--skills", type=Path, default=Path("skills"), help="root of the skill tree")
     parser.add_argument("--dry-run", action="store_true", help="print the matrix and exit without running agents")
+    _add_auth_arg(parser)
 
 
 def _add_log_args(parser: argparse.ArgumentParser) -> None:
@@ -76,11 +77,11 @@ def _add_feedback_arg(parser: argparse.ArgumentParser, *, extra: str = "") -> No
 
 
 def _add_auth_arg(parser: argparse.ArgumentParser) -> None:
-    """Add the ``--auth`` flag to a single-agent subcommand.
+    """Add the ``--auth`` flag to a command that spawns agents.
 
-    These commands spawn one agent, so they default to the provider subscription ("session")
-    when a login is present and fall back to the API key otherwise. ``bench`` has
-    no such flag — it always bills the API so its recorded ``cost_usd`` is real.
+    Every agentic command defaults to the provider subscription ("session") when a login is
+    present and falls back to the API key otherwise — ``bench`` included, since it prices runs
+    from their token counts rather than from a billed figure only the API reports.
     """
     parser.add_argument(
         "--auth",
@@ -242,12 +243,19 @@ def _cmd_bench(args: argparse.Namespace) -> int:
     if not todo:
         return 0
 
-    # bench records real per-run cost, so it must bill the API — never the subscription.
+    # One resolved mode per provider in the matrix, so a mixed pass bills each side correctly.
     providers = {provider_for_model(item.model) for item in todo}
-    auth_modes = {provider: resolve_auth_mode("api", allow_session=False, provider=provider) for provider in providers}
+    auth_modes = {provider: resolve_auth_mode(args.auth, provider=provider) for provider in providers}
     for provider in sorted(providers):
         check_agent_cli(provider)
+        _print_auth(auth_modes[provider], provider)
         _warn_codex_accounting(provider)
+    if "session" in auth_modes.values():
+        print(
+            "note: cost_usd for session-billed runs is what they would have cost at API "
+            "rates, not metered spend; each run records its auth_mode",
+            file=sys.stderr,
+        )
     _warn_unpriced({item.model for item in todo}, cfg.prices)
     print(f"preparing target {cfg.repo}@{cfg.ref} ...", flush=True)
     target = prepare_target(cfg, args.cache, refresh=args.refresh_target)
@@ -316,7 +324,7 @@ def _cmd_draft(args: argparse.Namespace) -> int:
 
     provider = provider_for_model(cfg.draft_model)
     check_agent_cli(provider)
-    auth_mode = resolve_auth_mode(args.auth, allow_session=True, provider=provider)
+    auth_mode = resolve_auth_mode(args.auth, provider=provider)
     _print_auth(auth_mode, provider)
     _warn_codex_accounting(provider)
     print(f"preparing target {cfg.repo}@{cfg.ref} ...", flush=True)
@@ -373,7 +381,7 @@ def _cmd_improve(args: argparse.Namespace) -> int:
 
     provider = provider_for_model(cfg.improve_model)
     check_agent_cli(provider)
-    auth_mode = resolve_auth_mode(args.auth, allow_session=True, provider=provider)
+    auth_mode = resolve_auth_mode(args.auth, provider=provider)
     _print_auth(auth_mode, provider)
     _warn_codex_accounting(provider)
     print(f"preparing target {cfg.repo}@{cfg.ref} ...", flush=True)
@@ -423,17 +431,22 @@ def _cmd_tasks(args: argparse.Namespace) -> int:
         cfg = replace(cfg, tasks_model=args.model)
 
     out = args.out
-    # Fail before the (costly) target prep and agent run if we'd have to clobber.
-    if out.exists() and not args.force:
+    # `acumen init` writes a placeholder here, and generating over it is the documented next
+    # step — so the untouched placeholder is not something to protect. Anything the user has
+    # actually edited still needs --force, and that is checked before the costly target prep.
+    overwrite = args.force or is_scaffold_tasks(out)
+    if out.exists() and not overwrite:
         print(
-            f"{out} already exists — pass --force to overwrite it (e.g. the placeholder from `acumen init`)",
+            f"{out} already exists — pass --force to overwrite it",
             file=sys.stderr,
         )
         return 2
+    if out.exists() and not args.force:
+        print(f"replacing the untouched placeholder at {out}")
 
     provider = provider_for_model(cfg.tasks_model)
     check_agent_cli(provider)
-    auth_mode = resolve_auth_mode(args.auth, allow_session=True, provider=provider)
+    auth_mode = resolve_auth_mode(args.auth, provider=provider)
     _print_auth(auth_mode, provider)
     _warn_codex_accounting(provider)
     print(f"preparing target {cfg.repo}@{cfg.ref} ...", flush=True)
@@ -455,7 +468,7 @@ def _cmd_tasks(args: argparse.Namespace) -> int:
                 auth_mode=auth_mode,
                 max_turns=args.max_turns,
                 max_usd=args.max_usd,
-                force=args.force,
+                force=overwrite,
                 feedback=args.feedback,
                 log=log,
             )
@@ -484,7 +497,7 @@ def _cmd_ship(args: argparse.Namespace) -> int:
     print(f"shipping {args.version} of {cfg.skill_name} into {cfg.repo} ({where})")
     provider = provider_for_model(cfg.ship_model)
     check_agent_cli(provider)
-    auth_mode = resolve_auth_mode(args.auth, allow_session=True, provider=provider)
+    auth_mode = resolve_auth_mode(args.auth, provider=provider)
     _print_auth(auth_mode, provider)
     _warn_codex_accounting(provider)
     print(f"preparing target {cfg.repo}@{cfg.ref} ...", flush=True)
diff --git a/src/acumen/env.py b/src/acumen/env.py
index fdcb12f..7bee9cb 100644
--- a/src/acumen/env.py
+++ b/src/acumen/env.py
@@ -346,48 +346,31 @@ def api_auth_available(provider: AgentProvider = "claude") -> bool:
 def resolve_auth_mode(
     requested: str,
     *,
-    allow_session: bool,
     provider: AgentProvider = "claude",
 ) -> AuthMode:
     """Resolve a requested auth choice to the concrete mode a run will use, or fail loudly.
 
-    A preflight guard that replaces :func:`check_auth` on the agentic commands: it both
-    validates that the chosen credential is actually reachable and reports which mode the
-    run will bill, so the choice is never silent.
+    A preflight guard for every agentic command: it both validates that the chosen credential
+    is actually reachable and reports which mode the run will bill, so the choice is never
+    silent.
+
+    ``bench`` used to be barred from ``"session"`` on the grounds that only metered API billing
+    yields a real per-run ``cost_usd``. That stopped being true when cost became a function of
+    the token counts both billing modes report (:mod:`acumen.prices`): a subscription run prices
+    exactly as accurately as a metered one. What the figure *means* does change — under
+    ``"session"`` it is what the run would have cost at API rates, not money billed — so the
+    mode is recorded in each ``result.json`` rather than the choice being taken away.
 
     Parameters
     ----------
     requested
         The user's choice: ``"auto"`` (prefer the subscription, else the API), ``"session"``
         (force the subscription), or ``"api"`` (force the API).
-    allow_session
-        Whether the subscription is a permitted mode. ``bench`` passes ``False`` because it
-        records real per-run ``cost_usd``, which only means anything under metered API
-        billing — so bench always resolves to ``"api"`` and rejects ``"session"``.
 
     Returns
     -------
     ``"session"`` or ``"api"``.
     """
-    if not allow_session:
-        if requested == "session":
-            raise EnvError(
-                "bench records real per-run cost and must bill the API, so --auth session is "
-                "not available for it — the Claude subscription does not meter per-run spend. "
-                "Run the single-agent commands (draft/improve/tasks/ship) on the session instead."
-            )
-        if not api_auth_available(provider):
-            if provider == "codex":
-                raise EnvError(
-                    "no API credential found — Codex bench must bill the API. Set CODEX_API_KEY (or OPENAI_API_KEY)."
-                )
-            raise EnvError(
-                "no API credential found — bench must bill the API. Set ANTHROPIC_API_KEY (or "
-                "ANTHROPIC_AUTH_TOKEN), or enable a provider with CLAUDE_CODE_USE_BEDROCK / "
-                "CLAUDE_CODE_USE_VERTEX."
-            )
-        return "api"
-
     if requested == "session":
         if not session_auth_available(provider):
             if provider == "codex":
diff --git a/src/acumen/runner.py b/src/acumen/runner.py
index 535a8ce..d7cd40d 100644
--- a/src/acumen/runner.py
+++ b/src/acumen/runner.py
@@ -336,6 +336,9 @@ async def run_once(
         "arm": key.arm,
         "model": model,
         "agent": provider,
+        # Which credential paid for the run. Cost is derived from tokens either way, but under
+        # "session" it is what the run would have cost at API rates rather than metered spend.
+        "auth_mode": auth_mode,
         "rep": key.rep,
         "success": success,
         "reason": reason,
diff --git a/src/acumen/scaffold.py b/src/acumen/scaffold.py
index ce32a73..b2bba94 100644
--- a/src/acumen/scaffold.py
+++ b/src/acumen/scaffold.py
@@ -81,6 +81,20 @@ class InitError(ValueError):
     """Raised when scaffolding cannot proceed — e.g. files exist and ``force`` is unset."""
 
 
+def is_scaffold_tasks(path: Path) -> bool:
+    """Whether ``path`` is still the untouched ``tasks.yaml`` placeholder from :func:`scaffold`.
+
+    ``acumen init`` writes a placeholder and ``acumen tasks`` generates the real thing, so the
+    documented first two steps of the loop collide: the generator would refuse to overwrite a
+    file the user never wrote. A byte-identical match to the template is the safe test — edit
+    one character and the file is yours again, and refusing to clobber it is correct.
+    """
+    try:
+        return path.read_text() == TASKS_TEMPLATE
+    except OSError:
+        return False
+
+
 def scaffold(directory: Path, *, force: bool = False) -> list[Path]:
     """Write starter ``config.yaml`` and ``tasks.yaml`` into ``directory``.
 
diff --git a/tests/test_cli.py b/tests/test_cli.py
index ba9ede7..07cbbd4 100644
--- a/tests/test_cli.py
+++ b/tests/test_cli.py
@@ -73,6 +73,38 @@ def test_init_refuses_to_clobber_without_force(tmp_path: Path, capsys: pytest.Ca
     assert "example_task" in (tmp_path / "tasks.yaml").read_text()
 
 
+def test_tasks_generates_over_the_untouched_scaffold_placeholder(
+    tmp_path: Path, monkeypatch: pytest.MonkeyPatch, capsys: pytest.CaptureFixture
+) -> None:
+    """`acumen init` then `acumen tasks` is the documented start of the loop.
+
+    The placeholder `init` writes is not user content, so refusing to generate over it made
+    the first two steps of the quickstart contradict each other.
+    """
+    assert main(["init", "--dir", str(tmp_path)]) == 0
+    out = tmp_path / "tasks.yaml"
+    args = ["tasks", "--config", str(tmp_path / "config.yaml"), "--out", str(out)]
+
+    # Stop at the first step past the clobber check, so no target is prepared and nothing spent.
+    monkeypatch.setattr("acumen.cli.check_agent_cli", _boom)
+    with pytest.raises(RuntimeError, match="reached preflight"):
+        main(args)
+    assert "replacing the untouched placeholder" in capsys.readouterr().out
+
+    # An edited file is the user's, and is still protected.
+    out.write_text(out.read_text() + "\n# mine now\n")
+    assert main(args) == 2
+    assert "pass --force to overwrite" in capsys.readouterr().err
+
+    # …until --force, which reaches preflight again.
+    with pytest.raises(RuntimeError, match="reached preflight"):
+        main([*args, "--force"])
+
+
+def _boom(*_: object, **__: object) -> None:
+    raise RuntimeError("reached preflight")
+
+
 def test_bench_dry_run_plans_the_matrix(project: Path, model: str, capsys: pytest.CaptureFixture) -> None:
     assert main(bench_args(project, "--dry-run")) == 0
 
diff --git a/tests/test_core.py b/tests/test_core.py
index 684c04e..a70df4d 100644
--- a/tests/test_core.py
+++ b/tests/test_core.py
@@ -913,41 +913,43 @@ def test_resolve_auth_mode_for_meta_commands(tmp_path: Path, monkeypatch: pytest
 
     # No credentials at all → auto cannot resolve.
     with pytest.raises(EnvError, match="no Claude credentials"):
-        resolve_auth_mode("auto", allow_session=True)
+        resolve_auth_mode("auto")
 
     # auto prefers the subscription when a login exists.
     _write_oauth_credentials(tmp_path)
     monkeypatch.setenv("ANTHROPIC_API_KEY", "sk-test")
-    assert resolve_auth_mode("auto", allow_session=True) == "session"
+    assert resolve_auth_mode("auto") == "session"
 
     # auto falls back to the API when there is no subscription.
     (tmp_path / ".credentials.json").unlink()
-    assert resolve_auth_mode("auto", allow_session=True) == "api"
+    assert resolve_auth_mode("auto") == "api"
 
     # Forcing a mode requires that mode's credential.
-    assert resolve_auth_mode("api", allow_session=True) == "api"
+    assert resolve_auth_mode("api") == "api"
     with pytest.raises(EnvError, match="--auth session"):
-        resolve_auth_mode("session", allow_session=True)
+        resolve_auth_mode("session")
     _write_oauth_credentials(tmp_path)
     monkeypatch.delenv("ANTHROPIC_API_KEY", raising=False)
-    assert resolve_auth_mode("session", allow_session=True) == "session"
+    assert resolve_auth_mode("session") == "session"
     with pytest.raises(EnvError, match="--auth api"):
-        resolve_auth_mode("api", allow_session=True)
+        resolve_auth_mode("api")
 
 
-def test_resolve_auth_mode_for_bench(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
-    _clear_auth(monkeypatch, tmp_path)
+def test_bench_may_bill_the_subscription(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
+    """Cost comes from token counts, which both billing modes report.
 
-    # bench never bills the subscription, even when only a subscription is available.
+    bench used to reject ``session`` on the grounds that only metered API billing yields a
+    real per-run cost. Once cost became a function of tokens that stopped being true, so the
+    mode is a choice the run records rather than one it refuses.
+    """
+    _clear_auth(monkeypatch, tmp_path)
     _write_oauth_credentials(tmp_path)
-    with pytest.raises(EnvError, match="session is not available for it"):
-        resolve_auth_mode("session", allow_session=False)
-    with pytest.raises(EnvError, match="must bill the API"):
-        resolve_auth_mode("api", allow_session=False)
 
-    # With an API credential, bench resolves to api.
-    monkeypatch.setenv("ANTHROPIC_API_KEY", "sk-test")
-    assert resolve_auth_mode("api", allow_session=False) == "api"
+    assert resolve_auth_mode("auto") == "session"
+    assert resolve_auth_mode("session") == "session"
+    # Forcing the API still requires an API credential.
+    with pytest.raises(EnvError, match="--auth api"):
+        resolve_auth_mode("api")
 
 
 def test_codex_auth_resolution_and_isolated_env(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
@@ -960,8 +962,8 @@ def test_codex_auth_resolution_and_isolated_env(tmp_path: Path, monkeypatch: pyt
 
     assert session_auth_available("codex")
     assert api_auth_available("codex")
-    assert resolve_auth_mode("auto", allow_session=True, provider="codex") == "session"
-    assert resolve_auth_mode("api", allow_session=False, provider="codex") == "api"
+    assert resolve_auth_mode("auto", provider="codex") == "session"
+    assert resolve_auth_mode("api", provider="codex") == "api"
 
     isolated = tmp_path / "isolated-codex"
     env = build_agent_env(

From 7248945c1d5c095e2c3c40f41d634ed55867b1a8 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Tue, 4 Aug 2026 11:31:56 +0000
Subject: [PATCH 03/15] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 .vscode/settings.json | 5 +----
 pyproject.toml        | 8 ++++----
 umask.save            | 1 -
 3 files changed, 5 insertions(+), 9 deletions(-)

diff --git a/.vscode/settings.json b/.vscode/settings.json
index a6bcf49..7c09f6d 100644
--- a/.vscode/settings.json
+++ b/.vscode/settings.json
@@ -14,9 +14,6 @@
     },
     "python.analysis.typeCheckingMode": "basic",
     "python.testing.pytestEnabled": true,
-    "python.testing.pytestArgs": [
-        "-vv",
-        "--color=yes"
-    ],
+    "python.testing.pytestArgs": ["-vv", "--color=yes"],
     "cursorpyright.analysis.typeCheckingMode": "basic",
 }
diff --git a/pyproject.toml b/pyproject.toml
index 608399a..c164f78 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -44,7 +44,7 @@ urls.Documentation = "https://acumen.readthedocs.io/"
 urls.Homepage = "https://github.com/scverse/acumen"
 urls.Source = "https://github.com/scverse/acumen"
 scripts.acumen = "acumen.cli:main"
-scripts."acumen-install-skills" = "acumen._skills.install:main"
+scripts.acumen-install-skills = "acumen._skills.install:main"
 
 [dependency-groups]
 dev = [
@@ -79,6 +79,9 @@ envs.docs.scripts.build = "sphinx-build -M html docs docs/_build -W {args}"
 envs.docs.scripts.clean = "git clean -fdX -- {args:docs}"
 envs.docs.scripts.open = "python -m webbrowser -t docs/_build/html/index.html"
 envs.docs.dependency-groups = [ "doc" ]
+# The test suite covers both backends, so it installs every optional one. The Codex-only and
+# Claude-only import paths are covered from within the suite, by hiding a backend at import time.
+envs.hatch-test.features = [ "all" ]
 envs.hatch-test.matrix = [
   # Test the lowest and highest supported Python versions with normal deps
   { deps = [ "stable" ], python = [ "3.12", "3.14" ] },
@@ -91,9 +94,6 @@ envs.hatch-test.overrides.matrix.deps.env-vars = [
   { value = "allow", key = "UV_PRERELEASE", if = [ "pre" ] },
 ]
 envs.hatch-test.dependency-groups = [ "dev", "test" ]
-# The test suite covers both backends, so it installs every optional one. The Codex-only and
-# Claude-only import paths are covered from within the suite, by hiding a backend at import time.
-envs.hatch-test.features = [ "all" ]
 
 [tool.ruff]
 line-length = 120
diff --git a/umask.save b/umask.save
index 8b13789..e69de29 100644
--- a/umask.save
+++ b/umask.save
@@ -1 +0,0 @@
-

From b14b74e09f502a910af0d371ec92e6246865bd96 Mon Sep 17 00:00:00 2001
From: Intron7 <severin.dicks@icloud.com>
Date: Tue, 4 Aug 2026 13:36:27 +0200
Subject: [PATCH 04/15] update gitignore

Signed-off-by: Intron7 <severin.dicks@icloud.com>
---
 .gitignore |    4 +
 umask.save |    0
 uv.lock    | 3054 ----------------------------------------------------
 3 files changed, 4 insertions(+), 3054 deletions(-)
 delete mode 100644 umask.save
 delete mode 100644 uv.lock

diff --git a/.gitignore b/.gitignore
index eea4877..fc17263 100644
--- a/.gitignore
+++ b/.gitignore
@@ -11,6 +11,10 @@ __pycache__/
 # Distribution / packaging
 /dist/
 
+# uv's resolved dependency set. acumen is a library — consumers resolve their own tree, and
+# CI resolves fresh through hatch — so a committed lock would pin nothing that is checked.
+/uv.lock
+
 # Tests and coverage
 /data/
 /node_modules/
diff --git a/umask.save b/umask.save
deleted file mode 100644
index e69de29..0000000
diff --git a/uv.lock b/uv.lock
deleted file mode 100644
index 8967be2..0000000
--- a/uv.lock
+++ /dev/null
@@ -1,3054 +0,0 @@
-version = 1
-revision = 3
-requires-python = ">=3.12"
-resolution-markers = [
-    "python_full_version >= '3.14' and sys_platform == 'win32'",
-    "python_full_version >= '3.14' and sys_platform == 'emscripten'",
-    "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
-    "python_full_version < '3.14' and sys_platform == 'win32'",
-    "python_full_version < '3.14' and sys_platform == 'emscripten'",
-    "python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
-]
-
-[[package]]
-name = "accessible-pygments"
-version = "0.0.5"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "pygments" },
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-name = "acumen"
-version = "0.0.1.dev0"
-source = { editable = "." }
-dependencies = [
-    { name = "claude-agent-sdk" },
-    { name = "claude-code-log" },
-    { name = "matplotlib" },
-    { name = "numpy" },
-    { name = "pandas" },
-    { name = "psutil" },
-    { name = "pyyaml" },
-    { name = "scipy" },
-    { name = "session-info2" },
-]
-
-[package.dev-dependencies]
-dev = [
-    { name = "prek" },
-    { name = "twine" },
-]
-doc = [
-    { name = "ipykernel" },
-    { name = "ipython" },
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-    { name = "pandas" },
-    { name = "scverse-misc", extra = ["sphinx"] },
-    { name = "sphinx" },
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-    { name = "sphinx-book-theme" },
-    { name = "sphinx-copybutton" },
-    { name = "sphinx-design" },
-    { name = "sphinxcontrib-bibtex" },
-    { name = "sphinxcontrib-katex" },
-    { name = "sphinxext-opengraph" },
-]
-test = [
-    { name = "coverage" },
-    { name = "pytest" },
-    { name = "pytest-cov" },
-]
-
-[package.metadata]
-requires-dist = [
-    { name = "claude-agent-sdk", specifier = ">=0.2.116" },
-    { name = "claude-code-log" },
-    { name = "matplotlib" },
-    { name = "numpy" },
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-    { name = "pyyaml" },
-    { name = "scipy" },
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-
-[package.metadata.requires-dev]
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From 72c972445f67aba950403bcb928a66e393d5cd65 Mon Sep 17 00:00:00 2001
From: Intron7 <severin.dicks@icloud.com>
Date: Tue, 4 Aug 2026 18:38:05 +0200
Subject: [PATCH 05/15] update codex and report

Signed-off-by: Intron7 <severin.dicks@icloud.com>
---
 .../_skills/data/references/benchmark.md      |   9 +-
 src/acumen/agents.py                          |  54 +++-
 src/acumen/bench.py                           |   4 +-
 src/acumen/cli.py                             |  32 +-
 src/acumen/draft.py                           |  11 +-
 src/acumen/env.py                             |  63 ++--
 src/acumen/improve.py                         |  11 +-
 src/acumen/logs.py                            |  25 +-
 src/acumen/prices.py                          |  14 +-
 src/acumen/report.py                          | 284 +++++++++++++++++-
 src/acumen/runner.py                          |   6 +-
 src/acumen/sandbox.py                         |   3 +-
 src/acumen/ship.py                            |  11 +-
 src/acumen/taskgen.py                         |  11 +-
 tests/test_cli.py                             |  24 +-
 tests/test_core.py                            | 202 ++++++++++++-
 16 files changed, 683 insertions(+), 81 deletions(-)

diff --git a/src/acumen/_skills/data/references/benchmark.md b/src/acumen/_skills/data/references/benchmark.md
index 29982d4..044660f 100644
--- a/src/acumen/_skills/data/references/benchmark.md
+++ b/src/acumen/_skills/data/references/benchmark.md
@@ -6,6 +6,7 @@
 acumen bench [--no-skill | --skill v1] [--split train|test]... [--task ID]...
              [--replicates N] [--max-concurrency N] [--dry-run] [--no-resume]
              [--keep-sandboxes] [--refresh-target]
+             [--auth auto|session|api]
              [--config config.yaml] [--tasks tasks.yaml] [--runs runs] [--skills skills]
              [--cache ~/.cache/acumen]
 ```
@@ -15,8 +16,10 @@ acumen bench [--no-skill | --skill v1] [--split train|test]... [--task ID]...
 - `--dry-run` prints the planned matrix and exits **before** target prep and before any
   agent runs — free, and the right way to check the size of a pass.
 - `--replicates` / `--max-concurrency` override the config for this pass only.
-- Always bills the selected provider's API (`ANTHROPIC_API_KEY` for Claude;
-  `CODEX_API_KEY`/`OPENAI_API_KEY` for Codex); there is no `--auth` here.
+- `--auth auto` (default) prefers a stored account/subscription login, then falls back to
+  metered API credentials. Use `--auth session` or `--auth api` to require one explicitly.
+  Each run records the resolved mode; under `session`, `cost_usd` is the equivalent API-rate
+  cost computed from tokens, not money charged to the subscription.
 - Ctrl-C is safe: completed runs are preserved and the next invocation resumes.
 
 **Arm parity is the whole point.** Both arms get an identical prompt, tools, caps, and
@@ -54,7 +57,7 @@ resume safe. Useful fields: `success`, `reason`, `answer`, `expected`, `model`,
 cost is those counts times the model's rates, which are frozen into the run as
 `price_rates` so old runs are never re-priced. The provider's own figure, where it exists,
 is kept alongside as `provider_cost_usd` for cross-checking. A model with no rate leaves
-`cost_available` false and `cost_usd` 0 — check the flag before summing. Inspect or
+`cost_available` false and `cost_usd` null, so reports cannot mistake it for a free run. Inspect or
 re-check the rate table with `acumen prices` / `acumen prices --refresh`, and set
 `prices:` in `config.yaml` to price an unlisted model.
 
diff --git a/src/acumen/agents.py b/src/acumen/agents.py
index 9f39a21..41864f6 100644
--- a/src/acumen/agents.py
+++ b/src/acumen/agents.py
@@ -113,6 +113,14 @@ class AgentOptions:
     #: means pricing its usage ourselves — pass the caller's rate table in as this hook.
     #: Without it ``max_usd`` cannot be enforced for a Codex run.
     price_usd: Callable[[dict[str, Any]], float | None] | None = None
+    #: Codex's own sandbox mode. ``"workspace-write"`` is right nearly everywhere, but it needs
+    #: unprivileged user namespaces, which some hosts refuse — Ubuntu 24.04 restricts them by
+    #: AppArmor default, and containers often lack the capability. There bubblewrap cannot start
+    #: and every file write fails, so ``"danger-full-access"`` is the way to run at all. It is
+    #: less reckless than it sounds here: acumen already gives each run a throwaway ``HOME``, a
+    #: scrubbed env allowlist, a temp working directory and the ``deny_paths`` hook, so Codex's
+    #: sandbox is a second layer rather than the only one.
+    codex_sandbox: str = "workspace-write"
 
 
 def _claude_options(options: AgentOptions) -> ClaudeAgentOptions:
@@ -182,7 +190,7 @@ def _codex_command(options: AgentOptions, prompt: str) -> list[str]:
         "--color",
         "never",
         "--sandbox",
-        "workspace-write",
+        options.codex_sandbox,
         "-c",
         "project_doc_max_bytes=0",
         "-c",
@@ -311,6 +319,31 @@ def _install_codex_guard(options: AgentOptions) -> None:
 _MAX_TURNS_SUBTYPE = "error_max_turns"
 _MAX_BUDGET_SUBTYPE = "error_max_budget_usd"
 
+#: Subtype for a run whose *sandbox* failed, as distinct from a run that failed the task.
+_SANDBOX_SUBTYPE = "error_sandbox"
+
+#: Stderr fragments that mean Codex's own sandbox could not carry out the agent's file writes.
+#: On a host where unprivileged user namespaces are restricted — Ubuntu 24.04's AppArmor
+#: default, a container without the capability — bubblewrap cannot start, and every write the
+#: agent attempts fails. The agent still does the whole task and still spends the tokens; it
+#: just cannot save the answer, which would otherwise be graded ``no_answer_file`` and read as
+#: the model failing. It is the harness that failed, so the run is recorded as an error and
+#: leaves the comparison rather than being counted against the model.
+_SANDBOX_FAILURES = (
+    "fs sandbox helper failed",
+    "bwrap:",
+    "Failed to write file",
+    "sandbox helper",
+)
+
+
+def _sandbox_failure(lines: Sequence[str]) -> str | None:
+    """Return the first stderr line showing a sandbox failure, or ``None``."""
+    for line in lines:
+        if any(marker in line for marker in _SANDBOX_FAILURES):
+            return line.strip()
+    return None
+
 
 def _is_turn_item(event: dict[str, Any]) -> bool:
     """Whether ``event`` is one completed model action — the unit Codex turns are counted in."""
@@ -325,6 +358,7 @@ def _codex_terminal(
     returncode: int,
     duration_ms: int,
     capped: str | None = None,
+    sandbox_failure: str | None = None,
 ) -> AgentResult:
     session_id: str | None = None
     final = ""
@@ -354,7 +388,15 @@ def _codex_terminal(
             detail = event.get("message") or event.get("error")
             errors.append(str(detail or event))
 
-    if capped is not None:
+    if sandbox_failure is not None:
+        # Checked before the cap and before the exit status: when the sandbox cannot carry out
+        # the agent's writes, nothing downstream of it means anything. The run did the work and
+        # spent the tokens, so the usage is kept, but the outcome is the harness's failure and
+        # is recorded as such — never as the model declining to answer.
+        is_error = True
+        subtype = _SANDBOX_SUBTYPE
+        errors.append(f"the Codex sandbox could not complete the run's file operations: {sandbox_failure}")
+    elif capped is not None:
         # We terminated the process on purpose, so its non-zero status is ours and must not be
         # reported as a codex failure. The partial transcript is kept: it is the evidence of
         # what the run spent the cap on.
@@ -388,9 +430,12 @@ def _codex_terminal(
 async def _drain_stderr(
     stream: asyncio.StreamReader,
     callback: Callable[[str], None] | None,
+    sink: list[str] | None = None,
 ) -> None:
     while line := await stream.readline():
         text = line.decode(errors="replace").rstrip("\r\n")
+        if sink is not None:
+            sink.append(text)
         if callback is not None:
             callback(text)
         else:
@@ -441,7 +486,8 @@ async def _run_codex(
     )
     assert process.stdout is not None
     assert process.stderr is not None
-    stderr_task = asyncio.create_task(_drain_stderr(process.stderr, options.stderr))
+    noise: list[str] = []
+    stderr_task = asyncio.create_task(_drain_stderr(process.stderr, options.stderr, noise))
     events: list[dict[str, Any]] = []
     turns = 0
     capped: str | None = None
@@ -470,7 +516,7 @@ async def _run_codex(
         stderr_task.cancel()
         raise
     duration_ms = round((time.monotonic() - started) * 1000)
-    return _codex_terminal(events, returncode, duration_ms, capped)
+    return _codex_terminal(events, returncode, duration_ms, capped, _sandbox_failure(noise))
 
 
 async def run_agent(
diff --git a/src/acumen/bench.py b/src/acumen/bench.py
index f91552c..55eee83 100644
--- a/src/acumen/bench.py
+++ b/src/acumen/bench.py
@@ -135,8 +135,8 @@ async def run_matrix(
     max_concurrency
         Ceiling on simultaneous agents.
     auth_mode
-        Which credential every run authenticates with; benchmark passes always use ``"api"``
-        so the recorded ``cost_usd`` reflects real metered spend.
+        Which credential every run authenticates with. Under ``"session"``, the recorded
+        ``cost_usd`` is the equivalent API-rate cost derived from tokens, not metered spend.
     skill
         The skill every run in this matrix installs, or ``None`` for the baseline. One
         matrix is one arm, so this is a property of the pass rather than of a run.
diff --git a/src/acumen/cli.py b/src/acumen/cli.py
index dad120a..b662db6 100644
--- a/src/acumen/cli.py
+++ b/src/acumen/cli.py
@@ -194,9 +194,9 @@ def on_done(self, outcome: RunOutcome) -> None:
         mark = "✓ pass" if outcome.success else "✗ FAIL"
         p = outcome.payload
         toks = int(p.get("input_tokens", 0)) + int(p.get("output_tokens", 0))
-        cost = float(p.get("cost_usd", 0.0))
         dur = _fmt_secs(float(p.get("duration_s", 0.0)))
-        cost_label = f"${cost:.2f}" if p.get("cost_available", True) else "cost n/a"
+        cost_available = p.get("cost_available", True) and p.get("cost_usd") is not None
+        cost_label = f"${float(p['cost_usd']):.2f}" if cost_available else "cost n/a"
         stats = f"{_fmt_tokens(toks)}tok {cost_label} {dur}"
         print(
             f"[{self._stamp()}] {mark} {_key_label(outcome.key)}"
@@ -215,6 +215,11 @@ def _fmt_tokens(value: int) -> str:
     return str(value)
 
 
+def _fmt_cost(value: float | None) -> str:
+    """Format a known cost without presenting unavailable pricing as free."""
+    return f"${value:.2f}" if value is not None else "cost n/a"
+
+
 def _cmd_bench(args: argparse.Namespace) -> int:
     cfg = load_config(args.config)
     tasks = load_tasks(args.tasks)
@@ -284,11 +289,18 @@ def _cmd_bench(args: argparse.Namespace) -> int:
     passed = sum(1 for o in outcomes if o.success)
     counts = summarize(outcomes)
     breakdown = ", ".join(f"{reason}={n}" for reason, n in sorted(counts.items()))
-    total_cost = sum(float(o.payload.get("cost_usd", 0.0)) for o in outcomes)
-    unpriced = sum(not o.payload.get("cost_available", True) for o in outcomes)
-    cost_summary = f"${total_cost:.2f}"
-    if unpriced:
+    priced = [
+        float(o.payload["cost_usd"])
+        for o in outcomes
+        if o.payload.get("cost_available", True) and o.payload.get("cost_usd") is not None
+    ]
+    total_cost = sum(priced)
+    unpriced = len(outcomes) - len(priced)
+    cost_summary = f"${total_cost:.2f}" if priced else "cost n/a"
+    if unpriced and priced:
         cost_summary += f" + {unpriced} unpriced run(s)"
+    elif unpriced:
+        cost_summary += f" ({unpriced} unpriced run(s))"
     print(f"\n{passed}/{len(outcomes)} passed in {_fmt_secs(progress.elapsed)}  ({cost_summary}, {breakdown})")
 
     # The comparison is only meaningful if the skill actually reached the agent, so say
@@ -354,7 +366,7 @@ def _cmd_draft(args: argparse.Namespace) -> int:
     print(f"  description: {skill.description}")
     print(f"  hash:        {skill.hash}")
     print(f"  files:       {', '.join(files)}")
-    print(f"  cost:        ${result.cost_usd:.2f} over {result.turns} turns")
+    print(f"  cost:        {_fmt_cost(result.cost_usd)} over {result.turns} turns")
     _print_log_result(log)
     print(f"\nnext: acumen bench --skill {skill.version}")
     return 0
@@ -414,7 +426,7 @@ def _cmd_improve(args: argparse.Namespace) -> int:
     print(f"  hash:        {new.hash}")
     print(f"  files:       {', '.join(files)}")
     print(f"  evidence:    {result.n_train_runs} train runs ({result.n_train_failures} failing)")
-    print(f"  cost:        ${result.cost_usd:.2f} over {result.turns} turns")
+    print(f"  cost:        {_fmt_cost(result.cost_usd)} over {result.turns} turns")
     if new.hash == skill.hash:
         print(
             "warning: the new version is byte-identical to its parent — the improver changed nothing",
@@ -475,7 +487,7 @@ def _cmd_tasks(args: argparse.Namespace) -> int:
         )
     print(f"\nwrote {result.out_path.resolve()}")
     print(f"  tasks: {len(result.tasks)} ({', '.join(t.id for t in result.tasks)})")
-    print(f"  cost:  ${result.cost_usd:.2f} over {result.turns} turns")
+    print(f"  cost:  {_fmt_cost(result.cost_usd)} over {result.turns} turns")
     _print_log_result(log)
     print("\nnext: review the tasks, then `acumen draft` and `acumen bench`")
     return 0
@@ -527,7 +539,7 @@ def _cmd_ship(args: argparse.Namespace) -> int:
         )
     print(f"\nshipped {result.skill.version} of {result.skill.name}")
     print(f"  mode:  {'pull request' if result.mode == 'github' else 'working tree (local)'}")
-    print(f"  cost:  ${result.cost_usd:.2f} over {result.turns} turns")
+    print(f"  cost:  {_fmt_cost(result.cost_usd)} over {result.turns} turns")
     _print_log_result(log)
     if result.summary:
         print("\nagent summary:")
diff --git a/src/acumen/draft.py b/src/acumen/draft.py
index c40423d..b41d392 100644
--- a/src/acumen/draft.py
+++ b/src/acumen/draft.py
@@ -21,7 +21,7 @@
 from acumen.config import Config
 from acumen.env import AuthMode, Target, build_agent_env
 from acumen.logs import LiveLog
-from acumen.prices import pricer
+from acumen.prices import price_usage, pricer
 from acumen.procs import label_env, reap
 from acumen.prompts import draft_prompt
 from acumen.skills import (
@@ -44,7 +44,7 @@ class DraftResult:
     """A drafted skill version and what it cost to produce."""
 
     skill: Skill
-    cost_usd: float
+    cost_usd: float | None
     turns: int
     #: Live log paths for this run, when a :class:`LiveLog` was attached.
     log_jsonl: Path | None = None
@@ -194,7 +194,12 @@ async def draft_skill(
         skill = load_skill(skills_root, version, expect_name=cfg.skill_name)
         return DraftResult(
             skill=skill,
-            cost_usd=result.total_cost_usd or 0.0,
+            cost_usd=price_usage(
+                result.usage,
+                model=selected_model,
+                provider=result.provider,
+                overrides=cfg.prices,
+            ),
             turns=result.num_turns,
             log_jsonl=log.jsonl_path if log is not None else None,
             log_html=log.html_path if log is not None and log.html_rendered else None,
diff --git a/src/acumen/env.py b/src/acumen/env.py
index 7bee9cb..567ed23 100644
--- a/src/acumen/env.py
+++ b/src/acumen/env.py
@@ -265,9 +265,9 @@ def agent_cli_dir(provider: AgentProvider) -> Path | None:
     "CLAUDE_CODE_USE_VERTEX",
 )
 
-#: A resolved authentication mode for an agent run. ``"session"`` bills the user's Claude
-#: subscription via an OAuth login; ``"api"`` bills the Anthropic API (or a cloud provider)
-#: per token — the only mode that yields the real ``cost_usd`` the benchmark records.
+#: A resolved authentication mode for an agent run. ``"session"`` uses the provider's stored
+#: account/subscription login; ``"api"`` uses a metered API credential. Acumen derives
+#: ``cost_usd`` from tokens in either mode, and records the mode so its meaning stays explicit.
 AuthMode = Literal["session", "api"]
 
 #: Allowlisted variables that carry *metered* (API/cloud) authentication, as distinct from a
@@ -303,6 +303,29 @@ def _codex_credentials_path() -> Path:
     return _codex_home() / "auth.json"
 
 
+def _codex_persisted_auth_mode() -> AuthMode | None:
+    """Classify the credential stored by ``codex login``, without exposing its value.
+
+    Both account and API-key logins write ``auth.json``. The file's existence therefore
+    cannot distinguish subscription usage from metered API usage: recent Codex versions
+    identify API-key login with ``auth_mode: apikey`` and account login with
+    ``auth_mode: chatgpt``. The payload shapes are retained as compatibility fallbacks.
+    Unknown or unreadable files are not guessed at.
+    """
+    try:
+        data = json.loads(_codex_credentials_path().read_text())
+    except (OSError, ValueError):
+        return None
+    if not isinstance(data, dict):
+        return None
+    mode = data.get("auth_mode")
+    if mode == "apikey" or data.get("OPENAI_API_KEY"):
+        return "api"
+    if mode == "chatgpt" or isinstance(data.get("tokens"), dict):
+        return "session"
+    return None
+
+
 def _has_oauth_credentials() -> bool:
     """Whether the user's credentials file holds a Claude subscription (OAuth) login.
 
@@ -321,11 +344,12 @@ def _has_oauth_credentials() -> bool:
 def session_auth_available(provider: AgentProvider = "claude") -> bool:
     """Whether an agent run could bill the Claude subscription ("session usage").
 
-    True when a portable ``CLAUDE_CODE_OAUTH_TOKEN`` is set, or the user has a subscription
-    OAuth login on disk (:func:`_has_oauth_credentials`). An empty variable does not count.
+    For Claude, true when a portable ``CLAUDE_CODE_OAUTH_TOKEN`` is set or a subscription
+    OAuth login is on disk. For Codex, true only for an account login in ``auth.json``; a
+    persisted API-key login is deliberately not a session. An empty variable does not count.
     """
     if provider == "codex":
-        return _codex_credentials_path().is_file()
+        return _codex_persisted_auth_mode() == "session"
     if os.environ.get(SESSION_AUTH_ENV_VAR):
         return True
     return _has_oauth_credentials()
@@ -336,11 +360,12 @@ def api_auth_available(provider: AgentProvider = "claude") -> bool:
 
     True when any metered auth variable is set (:data:`API_AUTH_ENV_VARS`): a direct
     Anthropic key/token, or a Bedrock/Vertex routing flag whose own cloud credentials then
-    apply. The subscription OAuth token is deliberately excluded — it bills the plan, not
-    the API. An empty variable does not count.
+    apply. A Codex API key persisted by ``codex login --with-api-key`` also counts. The
+    subscription OAuth token is deliberately excluded — it bills the plan, not the API.
     """
     variables = API_AUTH_ENV_VARS if provider == "claude" else CODEX_API_AUTH_ENV_VARS
-    return any(os.environ.get(var) for var in variables)
+    available = any(os.environ.get(var) for var in variables)
+    return available or (provider == "codex" and _codex_persisted_auth_mode() == "api")
 
 
 def resolve_auth_mode(
@@ -595,22 +620,22 @@ def build_agent_env(
 ) -> dict[str, str]:
     """Prepare an isolated agent's environment for a resolved auth mode.
 
-    Pairs the two steps that must agree: in ``"session"`` mode the subscription OAuth login is
-    seeded into ``config_dir`` (only ``.credentials.json`` is copied — never settings, memories,
-    or skills, so isolation is unchanged), and the API/cloud variables are stripped from the
-    env; in ``"api"`` mode nothing is seeded and the OAuth token is stripped instead. Either
-    way exactly one credential reaches the run, so billing is deterministic.
+    Pairs the two steps that must agree. Claude seeds its subscription OAuth login only in
+    ``"session"`` mode. Codex stores both account and API-key logins in ``auth.json``, so the
+    file is seeded only when its classified mode matches ``auth_mode``. Environment credentials
+    for the other mode are stripped either way, keeping billing deterministic.
 
     Every isolated agent (bench sandboxes and the draft/improve/tasks meta-agents) builds its
     env through here, so the seed-and-scrub pairing lives in one place. ``extra_allow`` (the
     operator's ``env_passthrough``) names variables to carry through on top of the built-in
     allowlist, for a target that needs one at runtime.
     """
-    if auth_mode == "session":
-        if provider == "claude":
-            seed_credentials(config_dir)
-        else:
-            seed_codex_credentials(config_dir)
+    if provider == "claude" and auth_mode == "session":
+        seed_credentials(config_dir)
+    elif provider == "codex" and _codex_persisted_auth_mode() == auth_mode:
+        # Codex stores either account tokens or an API key in auth.json. Copy only the
+        # credential matching the resolved mode into the isolated CODEX_HOME.
+        seed_codex_credentials(config_dir)
     return scrubbed_env(
         config_dir=config_dir,
         home=home,
diff --git a/src/acumen/improve.py b/src/acumen/improve.py
index a356c22..611bb99 100644
--- a/src/acumen/improve.py
+++ b/src/acumen/improve.py
@@ -43,7 +43,7 @@
     arm_name,
     parse_run_dir,
 )
-from acumen.prices import pricer
+from acumen.prices import price_usage, pricer
 from acumen.procs import label_env, reap
 from acumen.prompts import improve_prompt
 from acumen.skills import (
@@ -104,7 +104,7 @@ class ImproveResult:
 
     skill: Skill
     parent: str
-    cost_usd: float
+    cost_usd: float | None
     turns: int
     n_train_runs: int
     n_train_failures: int
@@ -572,7 +572,12 @@ async def improve_skill(
         return ImproveResult(
             skill=skill,
             parent=parent.version,
-            cost_usd=result.total_cost_usd or 0.0,
+            cost_usd=price_usage(
+                result.usage,
+                model=selected_model,
+                provider=result.provider,
+                overrides=cfg.prices,
+            ),
             turns=result.num_turns,
             n_train_runs=len(train_runs),
             n_train_failures=n_failures,
diff --git a/src/acumen/logs.py b/src/acumen/logs.py
index acbd6e0..e8bfd52 100644
--- a/src/acumen/logs.py
+++ b/src/acumen/logs.py
@@ -220,7 +220,15 @@ def _codex_event(self, message: dict[str, Any]) -> dict[str, Any] | None:
             return {"type": "system", "subtype": "turn.started"}
         if kind == "turn.completed":
             usage = message.get("usage")
-            return {"type": "result", "turns": 1, "cost_usd": None, "usage": usage}
+            return {
+                "type": "result",
+                "is_error": False,
+                "subtype": "turn.completed",
+                "turns": 1,
+                "cost_usd": None,
+                "duration_s": None,
+                "usage": usage,
+            }
         if kind in {"error", "turn.failed"}:
             return {
                 "type": "result",
@@ -333,9 +341,14 @@ def _render_lines(self, event: dict[str, Any]) -> list[str]:
                 name = res.get("name") or "tool"
                 lines.append(f"  {mark} {name} ({res['chars']} chars)")
         elif kind == "result":
-            mark = "✗ error" if event["is_error"] else "● done"
-            lines.append(
-                f"{mark}: {event['subtype']} · {event['turns']} turns · "
-                f"${event['cost_usd']:.2f} · {event['duration_s']}s"
-            )
+            is_error = bool(event.get("is_error"))
+            mark = "✗ error" if is_error else "● done"
+            parts = [str(event.get("subtype") or ("error" if is_error else "completed"))]
+            if event.get("turns") is not None:
+                parts.append(f"{event['turns']} turns")
+            cost = event.get("cost_usd")
+            parts.append(f"${cost:.2f}" if isinstance(cost, int | float) else "cost n/a")
+            if event.get("duration_s") is not None:
+                parts.append(f"{event['duration_s']}s")
+            lines.append(f"{mark}: {' · '.join(parts)}")
         return lines
diff --git a/src/acumen/prices.py b/src/acumen/prices.py
index a8a7a06..0ac5269 100644
--- a/src/acumen/prices.py
+++ b/src/acumen/prices.py
@@ -205,6 +205,17 @@ def normalize_usage(usage: dict | None, *, provider: str = "claude") -> Usage:
     )
 
 
+def price_usage(
+    usage: dict | None,
+    *,
+    model: str,
+    provider: str = "claude",
+    overrides: dict[str, Rates] | None = None,
+) -> float | None:
+    """Price a provider usage payload through the shared model-rate table."""
+    return price_run(normalize_usage(usage, provider=provider), resolve_rates(model, overrides))
+
+
 def pricer(model: str, overrides: dict[str, Rates] | None = None) -> Callable[[dict], float | None]:
     """A usage→USD hook for a provider that reports no billed figure of its own.
 
@@ -213,8 +224,7 @@ def pricer(model: str, overrides: dict[str, Rates] | None = None) -> Callable[[d
     could be stopped at a budget it is not billed against. Returns ``None`` for an unpriced
     model, which callers must read as "no cap can be enforced", never as "free".
     """
-    rates = resolve_rates(model, overrides)
-    return lambda usage: price_run(normalize_usage(usage, provider="codex"), rates)
+    return lambda usage: price_usage(usage, model=model, provider="codex", overrides=overrides)
 
 
 def price_run(usage: Usage, rates: Rates | None) -> float | None:
diff --git a/src/acumen/report.py b/src/acumen/report.py
index 599cfee..6429b81 100644
--- a/src/acumen/report.py
+++ b/src/acumen/report.py
@@ -55,18 +55,31 @@
 BAR = "#565149"  # a neutral tone, used where model hue does not apply
 ACCENT = "#b2ac9e"  # the light warm tone, for table tints and notes
 
-# The model is the hue: a single-hue ramp keyed to model "potency". The most capable model
-# (Fable) is the DARKEST / most saturated — the Claude orange — and each weaker tier is a
-# lighter tint of that same hue. The mapping is fixed by *tier* (parsed from the model id),
-# so a given tier always reads the same colour regardless of which — or how many — models a
-# pass happens to include. This is only the *default*: a caller can recolour any model by id
-# (see :func:`resolve_palette`), while the page and plot surfaces above stay fixed.
-_MODEL_ORDER = ("fable", "opus", "sonnet", "haiku")
+# The model is the hue, in two dimensions: the *provider* picks the hue family, and the tier
+# picks the step within it — darkest is most potent, each weaker tier a lighter step of the
+# same hue. The mapping is fixed by *tier* (parsed from the model id), so a given tier always
+# reads the same colour regardless of which — or how many — models a pass happens to include.
+# This is only the *default*: a caller can recolour any model by id (see
+# :func:`resolve_palette`), while the page and plot surfaces above stay fixed.
+#
+# The second family is teal, not green, and that is not a taste call. Orange and green are the
+# pair red-green colourblind readers cannot separate: a green ramp built parallel to the orange
+# one below scores ΔE 1.2 against it under simulated deuteranopia (OKLab ×100; ≥8 is the
+# target, and darkening the green only reaches 7.2). Teal is the nearest hue that clears the
+# gate — deuteranopia 14.9, protanopia 8.2, normal-vision 23.7 — so the two providers stay
+# distinguishable in every vision type. Train/test already spends the texture channel, so
+# colour is the only thing carrying provider identity here; it has to work on its own.
+_MODEL_ORDER = ("fable", "opus", "sonnet", "haiku", "sol", "luna", "terra")
 _MODEL_COLOR = {
+    # Anthropic — the warm ramp.
     "fable": "#d86f53",  # Claude orange — most potent, darkest/most saturated
     "opus": "#e18c74",  # a lighter tint
     "sonnet": "#e8a794",  # lighter still
     "haiku": "#eec0b0",  # lightest — least potent
+    # OpenAI — the cool ramp, stepped over the same lightness span.
+    "sol": "#005661",  # darkest
+    "luna": "#007782",
+    "terra": "#0099a3",  # lightest
 }
 _OTHER_MODEL_COLOR = "#8a8378"  # neutral fallback for an unrecognised model id
 
@@ -226,6 +239,12 @@ def load_results(runs_root: Path) -> pd.DataFrame:
         raise ReportError(f"no {RESULT_FILE} files under {runs_root} — run `acumen bench` first")
 
     df = pd.DataFrame(rows)
+    # New results carry an explicit availability flag; legacy results predate it and their
+    # numeric cost remains usable. An unavailable price is NaN inside pandas so every normal
+    # aggregation propagates "unknown" instead of silently treating the run as free.
+    available = df.get("cost_available", pd.Series(True, index=df.index)).fillna(True).astype(bool)
+    df["cost_usd"] = pd.to_numeric(df["cost_usd"], errors="coerce")
+    df.loc[~available, "cost_usd"] = math.nan
     df["total_tokens"] = df["input_tokens"] + df["output_tokens"]
     df["arm_label"] = df["arm"].map(arm_label)
     df["_arm_order"] = df["arm"].map(_arm_sort_key)
@@ -285,7 +304,7 @@ def arm_metrics(df: pd.DataFrame) -> pd.DataFrame:
                 "rate": rate,
                 "stderr": stderr,
                 "tokens": float(group["total_tokens"].sum()),
-                "cost": float(group["cost_usd"].sum()),
+                "cost": (float(group["cost_usd"].sum()) if group["cost_usd"].notna().all() else math.nan),
                 "time": float(group["duration_s"].sum()),
                 "n": len(group),
             }
@@ -305,6 +324,10 @@ def arm_metrics(df: pd.DataFrame) -> pd.DataFrame:
 #: table, which is now the same unit — because a per-run mean can sit well under a cent.
 _COLUMNS = [
     ("Success rate", "rate", mticker.PercentFormatter(1.0), lambda v: f"{v:.0%}"),
+    # Directly right of the headline rate and on the same 0–1 axis, so the pair is read as one
+    # comparison: the same bar with the runs that never read the skill taken out. A missing bar
+    # here means nothing loaded in that cell, which is the finding, not a gap in the data.
+    ("Success when loaded", "rate_loaded", mticker.PercentFormatter(1.0), lambda v: f"{v:.0%}"),
     ("Skill loaded", "loaded", mticker.PercentFormatter(1.0), lambda v: f"{v:.0%}"),
     ("Tokens / run", "tokens", mticker.FuncFormatter(lambda v, _p: _fmt_tokens(v)), _fmt_tokens),
     ("Cost / run", "cost", mticker.FuncFormatter(lambda v, _p: f"${v:.3f}"), lambda v: f"${v:.3f}"),
@@ -315,6 +338,12 @@ def arm_metrics(df: pd.DataFrame) -> pd.DataFrame:
 #: it is a per-run mean like the rest; it differs only in being drawn on a fixed 0–1 axis.
 _PROPORTION_COLUMN = {"rate": "success", "loaded": "skill_loaded"}
 
+#: Keys drawn on the fixed 0–1 axis. A superset of :data:`_PROPORTION_COLUMN`: ``rate_loaded``
+#: is a proportion too, but of a *filtered* subset rather than of a whole column, so it is
+#: computed separately while still sharing the percentage axis — which is what lets it be read
+#: against the success rate beside it.
+_PROPORTION_KEYS = frozenset({*_PROPORTION_COLUMN, "rate_loaded"})
+
 #: Metric key → the resource column it averages (the proportions are handled separately).
 _MEAN_COLUMN = {"tokens": "total_tokens", "cost": "cost_usd", "time": "duration_s"}
 
@@ -397,7 +426,11 @@ def resolve_palette(models: Sequence[str], overrides: Mapping[str, str] | None =
 
 
 def _models_in_order(df: pd.DataFrame) -> list[str]:
-    """Models present, most-potent first (fable, opus, sonnet, haiku), then any others."""
+    """Models present, grouped by provider and most-potent first, then any others.
+
+    Anthropic's tiers lead (fable, opus, sonnet, haiku), then OpenAI's (sol, luna, terra), so
+    each provider's ramp reads as a run of one hue rather than being interleaved with the other.
+    """
 
     def key(model: str) -> tuple[int, str]:
         tier = _model_tier(model)
@@ -441,11 +474,22 @@ def _cell_value(df: pd.DataFrame, arm: str, model: str, split: str, key: str) ->
     group = df[rows if model == _ALL_MODELS else rows & (df["model"] == model)]
     if group.empty:
         return 0.0, 0.0, False
+    if key == "rate_loaded":
+        # Success among the runs that actually read the skill. A cell with nothing loaded —
+        # every baseline cell, and any model whose description never fired — draws no bar
+        # rather than a zero, because "never measured" is not "measured zero".
+        loaded = group[_loaded_flags(group)]
+        if loaded.empty:
+            return math.nan, 0.0, False
+        rate, error = _rate_and_error(loaded["success"])
+        return rate, error, True
     if key in _PROPORTION_COLUMN:
         flags = _loaded_flags(group) if key == "loaded" else group[_PROPORTION_COLUMN[key]]
         rate, error = _rate_and_error(flags)
         return rate, error, True
     values = group[_MEAN_COLUMN[key]]
+    if key == "cost" and values.isna().any():
+        return math.nan, 0.0, False
     mean = float(values.mean())
     error = float(values.std(ddof=1)) / math.sqrt(len(values)) if len(values) > 1 else 0.0
     return mean, error, True
@@ -546,7 +590,13 @@ def metrics_figure(df: pd.DataFrame, *, split_hue: bool, colors: Mapping[str, st
         # per-row breathing room, not a fixed block, so few-model plots stay compact.
         row_h = 0.26 * max_bars + 0.22
         fig, axes = plt.subplots(
-            n_rows, len(_COLUMNS), sharex="col", squeeze=False, figsize=(10.0, n_rows * row_h + 0.6)
+            # Width scales with the column count so adding a metric widens the figure rather
+            # than squeezing every column's labels into the same 10 inches.
+            n_rows,
+            len(_COLUMNS),
+            sharex="col",
+            squeeze=False,
+            figsize=(2.0 * len(_COLUMNS), n_rows * row_h + 0.6),
         )
         for c, (title, key, formatter, value_label) in enumerate(_COLUMNS):
             for r, arm in enumerate(arms):
@@ -559,7 +609,7 @@ def metrics_figure(df: pd.DataFrame, *, split_hue: bool, colors: Mapping[str, st
                 if c == 0:
                     ax.set_ylabel(_skill_label(arm), rotation=0, ha="right", va="center", fontweight="bold")
             # sharex="col" ties the whole column together, so one xlim covers every row.
-            if key in _PROPORTION_COLUMN:
+            if key in _PROPORTION_KEYS:
                 axes[-1][c].set_xlim(0, 1.28)
             else:
                 reach = max(
@@ -915,7 +965,7 @@ def _cluster_totals(df: pd.DataFrame, arms: Sequence[str]) -> tuple[np.ndarray,
     for ci, cluster in enumerate(clusters):
         for ai, arm in enumerate(arms):
             rows = test[(test[_CLUSTER_COLUMN] == cluster) & (test["arm"] == arm)]
-            cost[ci, ai] = rows["cost_usd"].sum()
+            cost[ci, ai] = rows["cost_usd"].sum() if rows["cost_usd"].notna().all() else math.nan
             successes[ci, ai] = rows["success"].sum()
             runs[ci, ai] = len(rows)
     return cost, successes, runs
@@ -1002,6 +1052,7 @@ class SkillTests:
     comparisons: pd.DataFrame
     baseline: str
     n_clusters: int
+    cost_unavailable: bool = False
 
     @property
     def usable(self) -> bool:
@@ -1035,8 +1086,16 @@ def skill_tests(df: pd.DataFrame, *, resamples: int = _BOOTSTRAP_RESAMPLES, seed
     cost, successes, runs = _cluster_totals(df, arms)
     n_clusters = len(cost)
     baseline = arms[0] if arms else NOSKILL_ARM  # noskill sorts first when it is present
+    empty = pd.DataFrame(columns=["challenger", "reference", "d_rate", "d_cost", "p", "p_adjusted"])
+    if np.isnan(cost).any():
+        return SkillTests(
+            arms=pd.DataFrame(columns=["arm", "rate", "cost", "frontier"]),
+            comparisons=empty,
+            baseline=baseline,
+            n_clusters=n_clusters,
+            cost_unavailable=True,
+        )
     if n_clusters < _MIN_CLUSTERS or len(arms) < 2:
-        empty = pd.DataFrame(columns=["challenger", "reference", "d_rate", "d_cost", "p", "p_adjusted"])
         return SkillTests(
             arms=pd.DataFrame(columns=["arm", "rate", "cost", "frontier"]),
             comparisons=empty,
@@ -1128,6 +1187,12 @@ def _best_cells(values: Sequence[float | None], *, highest: bool) -> set[int]:
 
 def _tests_table_html(tests: SkillTests) -> str:
     """The significance table: one row per arm, with the best value in each column set bold."""
+    if tests.cost_unavailable:
+        return (
+            '<div class="note">Cost comparison unavailable: at least one reported test run '
+            "has no configured model rate. Add a rate and rerun that benchmark before drawing "
+            "cost or Pareto conclusions.</div>"
+        )
     if not tests.usable:
         return (
             f'<div class="note">Not enough to test: a paired bootstrap needs at least {_MIN_CLUSTERS} '
@@ -1172,6 +1237,165 @@ def _tests_table_html(tests: SkillTests) -> str:
 </table></div>"""
 
 
+def loaded_only_rates(df: pd.DataFrame) -> pd.DataFrame:
+    """Success rate restricted to the runs that actually loaded the skill, per skill and model.
+
+    A skill-arm run where the skill never loaded is not evidence about the skill's *body*: the
+    agent never read it, so the run measures the baseline with extra steps. Pooling those runs
+    into the arm's headline rate drags a skill toward the baseline in exactly the case where
+    the thing to fix is the frontmatter ``description`` rather than the guidance — and the load
+    rate varies enormously by model, so the dilution is uneven across the matrix.
+
+    This is the overview's comparison with those runs held out instead of counted against the
+    skill. It is deliberately *not* the headline number: conditioning on load is conditioning on
+    something the agent chose, so the loaded runs are not a random subset and this cannot prove
+    a skill works. It answers the narrower question — when the guidance did reach the agent, did
+    it help? — and separates a description problem from a content problem.
+
+    Two pooled rows close each skill, and the pair is the point. ``all models`` pools every
+    model in the arm; ``models that loaded`` restricts **both sides** to the models that
+    contributed at least one loaded run. When they disagree, the gap is model mix rather than
+    skill effect — a model that fails every run (an outage, an unavailable id) sits in the
+    all-models baseline while contributing nothing to the loaded column, which on its own would
+    manufacture a gain out of an absence. Reporting only the matched row would hide that the
+    arm's headline moved; reporting only the raw row would credit the skill for it.
+
+    Returns
+    -------
+    One row per (arm, model) over the reported split, then the two pooled rows per arm.
+    Columns: ``arm``, ``model``, ``scope`` (``"model"``, ``"all"`` or ``"matched"``),
+    ``loaded``, ``runs``, ``load_rate``, ``baseline``, ``overall`` (the arm's rate over every
+    run, which is what the overview reports), ``rate`` (successes among loaded runs only), and
+    ``delta`` (``rate - baseline``). ``overall`` and ``rate`` are shown side by side because the
+    distance between them *is* the dilution the non-loading runs cause. ``rate`` is ``NaN``
+    where nothing loaded, and ``baseline`` is ``NaN`` where that model has no baseline runs.
+    """
+    test = df[df["split"] == _REPORTED_SPLIT]
+    arms = [arm for arm in _arms_in_order(test) if arm != NOSKILL_ARM]
+    base = test[test["arm"] == NOSKILL_ARM]
+    records: list[dict[str, object]] = []
+    for arm in arms:
+        subset = test[test["arm"] == arm]
+        contributing = {
+            model for model in subset["model"].unique() if _loaded_flags(subset[subset["model"] == model]).any()
+        }
+        plan: list[tuple[str, object, pd.DataFrame, pd.DataFrame]] = [
+            ("model", model, subset[subset["model"] == model], base[base["model"] == model])
+            for model in _models_in_order(subset)
+        ]
+        plan.append(("all", _ALL_MODELS, subset, base))
+        plan.append(
+            (
+                "matched",
+                _LOADED_MODELS,
+                subset[subset["model"].isin(contributing)],
+                base[base["model"].isin(contributing)],
+            )
+        )
+        for scope, model, runs, reference in plan:
+            if runs.empty:
+                continue
+            loaded = runs[_loaded_flags(runs)]
+            rate = float(loaded["success"].mean()) if len(loaded) else math.nan
+            overall = float(runs["success"].mean())
+            baseline = float(reference["success"].mean()) if len(reference) else math.nan
+            records.append(
+                {
+                    "arm": arm,
+                    "model": model,
+                    "scope": scope,
+                    "loaded": len(loaded),
+                    "runs": len(runs),
+                    "load_rate": len(loaded) / len(runs),
+                    "baseline": baseline,
+                    # The arm as it ran (what the overview reports) beside the arm with the
+                    # non-loading runs held out. The gap between them is the dilution.
+                    "overall": overall,
+                    "rate": rate,
+                    "delta": rate - baseline,
+                }
+            )
+    return pd.DataFrame.from_records(records, columns=_LOADED_COLUMNS)
+
+
+#: Column order for :func:`loaded_only_rates`, so an empty frame still has the right shape.
+_LOADED_COLUMNS = (
+    "arm",
+    "model",
+    "scope",
+    "loaded",
+    "runs",
+    "load_rate",
+    "baseline",
+    "overall",
+    "rate",
+    "delta",
+)
+
+#: Sentinel for the pooled row that restricts both sides to the models which loaded the skill,
+#: alongside :data:`_ALL_MODELS` for the row that pools the arm as it actually ran.
+_LOADED_MODELS = "\x00loaded-models"
+_LOADED_MODELS_LABEL = "models that loaded"
+
+#: Loaded runs below this count are reported without a direction. The rate is still shown —
+#: it is what was measured — but a delta off one or two runs is noise wearing a percentage,
+#: and colouring it green would read as a finding.
+_MIN_LOADED = 5
+
+
+def _loaded_table_html(df: pd.DataFrame) -> str:
+    """The loaded-only comparison: one row per model per skill, pooled row per skill."""
+    table = loaded_only_rates(df)
+    if table.empty:
+        return '<div class="note">No skill arm to compare — this report covers the baseline only.</div>'
+
+    def pct(value: float) -> str:
+        return "&mdash;" if pd.isna(value) else f"{value:.0%}"
+
+    def signed(value: float) -> str:
+        # A difference that rounds to nothing is written "0%", never "-0%": the sign would
+        # claim a direction the rounding just erased.
+        return "0%" if round(value, 2) == 0 else f"{value:+.0%}"
+
+    labels = {"all": _ALL_MODELS_LABEL, "matched": _LOADED_MODELS_LABEL}
+    thin = False
+    body = []
+    for row in table.itertuples():
+        pooled = row.scope != "model"
+        label = labels.get(row.scope) or _model_label(row.model)
+        if pd.isna(row.delta):
+            delta = "&mdash;"
+        elif row.loaded < _MIN_LOADED:
+            # Shown, but undressed: too few runs to read a direction from.
+            thin = True
+            delta = f"{signed(row.delta)}&#8203;<sup>†</sup>"
+        elif round(row.delta, 2) == 0:
+            delta = signed(row.delta)
+        else:
+            delta = f'<span class="{"gain" if row.delta > 0 else "loss"}">{signed(row.delta)}</span>'
+        cells = (
+            f"<td>{_skill_label(row.arm)}</td><td>{html.escape(label)}</td>"
+            f"<td>{row.loaded}/{row.runs}</td><td>{pct(row.load_rate)}</td>"
+            f"<td>{pct(row.baseline)}</td><td>{pct(row.overall)}</td>"
+            f"<td>{pct(row.rate)}</td><td>{delta}</td>"
+        )
+        body.append(f'<tr class="{"pooled" if pooled else ""}">{cells}</tr>')
+
+    footnote = (
+        f'<p class="task-desc">† fewer than {_MIN_LOADED} loaded runs — the rate is what was '
+        "measured, but the difference is not readable at that count.</p>"
+        if thin
+        else ""
+    )
+    return f"""<div class="table-center"><table class="tests loaded">
+<thead><tr>
+<th>Skill</th><th>Model</th><th>Loaded</th><th>Load rate</th>
+<th>Baseline</th><th>All runs</th><th>When loaded</th><th>&Delta; loaded</th>
+</tr></thead>
+<tbody>{"".join(body)}</tbody>
+</table>{footnote}</div>"""
+
+
 @dataclass(frozen=True)
 class Report:
     """A rendered report and the data behind it."""
@@ -1197,6 +1421,12 @@ def _integrity_notes(df: pd.DataFrame) -> list[str]:
     only flagged once fewer than half its runs loaded the skill.
     """
     notes = []
+    unpriced = int(df["cost_usd"].isna().sum())
+    if unpriced:
+        notes.append(
+            f"cost unavailable for {unpriced}/{len(df)} runs; cost charts and comparisons omit "
+            "groups containing unpriced runs"
+        )
     if "skill_loaded" not in df.columns:
         return notes
     for arm in _arms_in_order(df):
@@ -1287,6 +1517,8 @@ def _runs_table_html(df: pd.DataFrame, out_dir: Path) -> str:
         else:
             link = "&mdash;"
         status = "pass" if row["success"] else "fail"
+        cost = row["cost_usd"]
+        cost_cell = ("&mdash;", None) if pd.isna(cost) else (f"{float(cost):.3f}", float(cost))
         cells: list[tuple[str, float | None]] = [
             (html.escape(str(row["arm_label"])), None),
             (html.escape(str(row["split"])), None),
@@ -1297,7 +1529,7 @@ def _runs_table_html(df: pd.DataFrame, out_dir: Path) -> str:
             (html.escape(str(row["reason"])), None),
             (str(int(row["turns"])), float(row["turns"])),
             (f"{int(row['total_tokens']):,}", float(row["total_tokens"])),
-            (f"{float(row['cost_usd']):.3f}", float(row["cost_usd"])),
+            cost_cell,
             (_fmt_seconds(float(row["duration_s"])), float(row["duration_s"])),
             (link, None),
         ]
@@ -1345,6 +1577,13 @@ def _runs_table_html(df: pd.DataFrame, out_dir: Path) -> str:
 thead th {{ background: {BAR}1a; }}
 tbody tr:nth-child(even) td {{ background: {INK}08; }}
 tr.fail td {{ background: {ACCENT}66; }}
+/* The loaded-only table names models in its second column, and closes each skill with a
+   pooled row summarising the ones above it. The delta's sign carries the direction; colour
+   only reinforces it, so the pair is never read by hue alone. */
+table.loaded td:nth-child(2) {{ text-align: left; }}
+table.loaded tr.pooled td {{ font-weight: 600; background: {BAR}1f; }}
+.gain {{ color: #3f6b4a; }}
+.loss {{ color: #a4553f; }}
 /* Sorting affordances appear only once the script has wired the table up, so with JS off
    nothing invites a click that would do nothing. The arrow is padded for, not floated over
    the label, so the heading does not shift when the column becomes the sorted one. */
@@ -1731,7 +1970,8 @@ def render_report(
 <div class="toc-title">acumen report</div>
 <ul>
 <li><a href="#overview">Overview</a><ul><li><a href="#tradeoff">Cost vs. success</a></li>
-<li><a href="#dominance">Is the difference real?</a></li></ul></li>
+<li><a href="#dominance">Is the difference real?</a></li>
+<li><a href="#loaded">Did it help when it actually loaded?</a></li></ul></li>
 <li><a href="#per-task">Per-task breakdown</a><ul>{"".join(toc_tasks)}</ul></li>
 {skills_toc}
 <li><a href="#runs">Runs</a></li>
@@ -1780,6 +2020,20 @@ def render_report(
  across resamples. Resampling is over the {tests.n_clusters} test tasks, paired across arms, so the
  unit is the task rather than the run.</p>
 {_tests_table_html(tests)}
+<h3 id="loaded">Did it help when it actually loaded?</h3>
+<p class="task-desc">A skill-arm run where the skill never loaded is not evidence about the
+ skill's body — the agent never read it, so the run measures the baseline with extra steps.
+ Those runs are held out here instead of counted against the skill, which separates a
+ <em>description</em> problem (the skill does not load) from a <em>content</em> problem (it
+ loads and does not help). Load rate varies widely by model, so the dilution is uneven across
+ the matrix. Two pooled rows close each skill, and the pair is the point: <em>all models</em>
+ pools the arm as it actually ran, while <em>models that loaded</em> restricts both sides to the
+ models that contributed a loaded run. Where the two disagree, the gap is model mix, not skill
+ effect — a model that fails every run sits in the all-models baseline while contributing
+ nothing to the loaded column. Read this as a diagnostic, not as the headline: conditioning on
+ load conditions on something the agent chose, so the loaded runs are not a random subset and a
+ gain here is not the same evidence as the test above.</p>
+{_loaded_table_html(df)}
 </section>
 <section id="per-task">
 <h2>Per-task breakdown</h2>
diff --git a/src/acumen/runner.py b/src/acumen/runner.py
index d7cd40d..87f7723 100644
--- a/src/acumen/runner.py
+++ b/src/acumen/runner.py
@@ -228,8 +228,8 @@ async def run_once(
     model, max_turns, max_usd
         Already resolved against per-task overrides by the caller.
     auth_mode
-        Which credential benchmark runs authenticate with; always ``"api"`` so the recorded
-        ``cost_usd`` reflects real metered spend.
+        Which credential the benchmark run authenticates with. Under ``"session"``, recorded
+        ``cost_usd`` is the equivalent API-rate cost derived from tokens, not metered spend.
     skill
         The skill to install, or ``None`` for the baseline arm. Must agree with
         ``key.arm``, else the run would be filed under an arm it doesn't belong to.
@@ -343,7 +343,7 @@ async def run_once(
         "success": success,
         "reason": reason,
         "turns": result.num_turns if result else 0,
-        "cost_usd": computed or 0.0,
+        "cost_usd": computed,
         "cost_available": computed is not None,
         "provider_cost_usd": provider_cost,
         "price_rates": rates_payload(rates),
diff --git a/src/acumen/sandbox.py b/src/acumen/sandbox.py
index 728e037..bc313e8 100644
--- a/src/acumen/sandbox.py
+++ b/src/acumen/sandbox.py
@@ -102,7 +102,8 @@ def sandbox(
         The prepared target; its venv ``bin`` goes on the sandbox PATH.
     auth_mode
         Which credential the run authenticates with (see :func:`acumen.env.build_agent_env`).
-        Benchmark runs always pass ``"api"`` so the recorded ``cost_usd`` is real.
+        Benchmark runs pass their resolved ``--auth`` mode. Under ``"session"``, recorded
+        ``cost_usd`` is the equivalent API-rate cost derived from tokens, not metered spend.
     base
         Parent directory for the sandbox. Defaults to the system temp dir.
     keep
diff --git a/src/acumen/ship.py b/src/acumen/ship.py
index 351f5ea..634aefb 100644
--- a/src/acumen/ship.py
+++ b/src/acumen/ship.py
@@ -43,7 +43,7 @@
     agent_cli_dir,
 )
 from acumen.logs import LiveLog
-from acumen.prices import pricer
+from acumen.prices import price_usage, pricer
 from acumen.procs import label_env, reap
 from acumen.prompts import ship_prompt
 from acumen.skills import Skill, content_files, load_skill
@@ -65,7 +65,7 @@ class ShipResult:
     mode: str
     #: The agent's final message — for a GitHub target it carries the PR URL.
     summary: str
-    cost_usd: float
+    cost_usd: float | None
     turns: int
     #: Live log paths for this run, when a :class:`LiveLog` was attached.
     log_jsonl: Path | None = None
@@ -305,7 +305,12 @@ async def ship_skill(
             skill=skill,
             mode=mode,
             summary=result.result or "",
-            cost_usd=result.total_cost_usd or 0.0,
+            cost_usd=price_usage(
+                result.usage,
+                model=selected_model,
+                provider=result.provider,
+                overrides=cfg.prices,
+            ),
             turns=result.num_turns,
             log_jsonl=log.jsonl_path if log is not None else None,
             log_html=log.html_path if log is not None and log.html_rendered else None,
diff --git a/src/acumen/taskgen.py b/src/acumen/taskgen.py
index 1fc3393..4c4d5c4 100644
--- a/src/acumen/taskgen.py
+++ b/src/acumen/taskgen.py
@@ -46,7 +46,7 @@
 from acumen.config import Config
 from acumen.env import AuthMode, Target, build_agent_env
 from acumen.logs import LiveLog
-from acumen.prices import pricer
+from acumen.prices import price_usage, pricer
 from acumen.procs import label_env, reap
 from acumen.prompts import taskgen_prompt
 from acumen.tasks import Task, TaskError, load_tasks
@@ -80,7 +80,7 @@ class TaskGenResult:
 
     tasks: list[Task]
     out_path: Path
-    cost_usd: float
+    cost_usd: float | None
     turns: int
     #: Live log paths for this run, when a :class:`LiveLog` was attached.
     log_jsonl: Path | None = None
@@ -428,7 +428,12 @@ async def generate_tasks(
         return TaskGenResult(
             tasks=generated,
             out_path=out_path,
-            cost_usd=result.total_cost_usd or 0.0,
+            cost_usd=price_usage(
+                result.usage,
+                model=selected_model,
+                provider=result.provider,
+                overrides=cfg.prices,
+            ),
             turns=result.num_turns,
             log_jsonl=log.jsonl_path if log is not None else None,
             log_html=log.html_path if log is not None and log.html_rendered else None,
diff --git a/tests/test_cli.py b/tests/test_cli.py
index 07cbbd4..299fbf1 100644
--- a/tests/test_cli.py
+++ b/tests/test_cli.py
@@ -13,10 +13,11 @@
 
 import pytest
 
-from acumen.cli import build_parser, main
+from acumen.cli import _Progress, build_parser, main
 from acumen.config import load_config
 from acumen.paths import RunKey
 from acumen.prices import RATES_AS_OF
+from acumen.runner import RunOutcome
 from acumen.tasks import load_tasks
 
 
@@ -41,6 +42,27 @@ def test_parser_requires_a_command() -> None:
         build_parser().parse_args([])
 
 
+def test_progress_prints_unavailable_cost_without_casting_null(capsys: pytest.CaptureFixture[str], model: str) -> None:
+    progress = _Progress(1)
+    progress.running = 1
+    progress.on_done(
+        RunOutcome(
+            key=RunKey(arm="noskill", split="test", model=model, task_id="task", rep=1),
+            success=True,
+            reason="ok",
+            payload={
+                "input_tokens": 10,
+                "output_tokens": 2,
+                "cost_usd": None,
+                "cost_available": False,
+                "duration_s": 0.1,
+            },
+        )
+    )
+
+    assert "cost n/a" in capsys.readouterr().out
+
+
 def test_init_writes_files_the_loaders_accept(tmp_path: Path, capsys: pytest.CaptureFixture) -> None:
     assert main(["init", "--dir", str(tmp_path)]) == 0
 
diff --git a/tests/test_core.py b/tests/test_core.py
index a70df4d..170b85d 100644
--- a/tests/test_core.py
+++ b/tests/test_core.py
@@ -14,6 +14,7 @@
 import subprocess
 import sys
 import time
+from contextlib import contextmanager
 from dataclasses import replace
 from datetime import date
 from pathlib import Path
@@ -27,6 +28,7 @@
 from acumen.agents import (
     AgentError,
     AgentOptions,
+    AgentResult,
     _codex_terminal,
     _install_codex_guard,
     check_agent_cli,
@@ -50,7 +52,7 @@
 from acumen.logs import LiveLog
 from acumen.paths import RunKey, arm_name, is_complete, parse_run_dir, run_dir
 from acumen.pricefeed import PriceFeedError, diff_rates, parse_anthropic, parse_openai
-from acumen.prices import DEFAULT_RATES, Rates, Usage, normalize_usage, price_run, pricer, resolve_rates
+from acumen.prices import DEFAULT_RATES, Rates, Usage, normalize_usage, price_run, price_usage, pricer, resolve_rates
 from acumen.procs import label_env, reap, supported, survivors
 from acumen.prompts import draft_prompt, feedback_block, improve_prompt
 from acumen.report import (
@@ -66,16 +68,19 @@
     _skill_diff_html,
     _split_diff_rows,
     _tests_table_html,
+    arm_metrics,
     load_results,
+    loaded_only_rates,
     metrics_figure,
     resolve_palette,
     skill_tests,
     tradeoff_figure,
 )
-from acumen.runner import StderrFilter, _skill_fired, _terminal_reason
+from acumen.runner import StderrFilter, _skill_fired, _terminal_reason, run_once
+from acumen.sandbox import Sandbox
 from acumen.ship import _ship_env
 from acumen.skills import SkillError, load_skill, read_meta, skill_hash, write_meta
-from acumen.tasks import TaskError, load_tasks, parse_tasks
+from acumen.tasks import Task, TaskError, TaskSplit, load_tasks, parse_tasks
 from acumen.transcript import render_agent_transcript, render_codex_transcript
 
 # --- grading ---------------------------------------------------------------------------
@@ -553,6 +558,23 @@ def test_live_log_records_codex_without_the_claude_sdk(tmp_path: Path, monkeypat
     assert events[0]["text"] == "done"
 
 
+def test_live_log_streams_codex_terminal_events_without_missing_field_crashes(tmp_path: Path) -> None:
+    lines: list[str] = []
+    with LiveLog(tmp_path / "log.jsonl", stream=True, echo=lines.append) as log:
+        log.append(
+            {
+                "type": "turn.completed",
+                "usage": {"input_tokens": 12, "cached_input_tokens": 3, "output_tokens": 4},
+            }
+        )
+        log.append({"type": "turn.failed", "error": {"message": "boom"}})
+
+    assert lines == [
+        "● done: turn.completed · 1 turns · cost n/a",
+        "✗ error: turn.failed · cost n/a",
+    ]
+
+
 def test_usage_normalizes_both_providers_without_collapsing_the_cache_split() -> None:
     """The cache classes are priced up to 10x apart, so they must survive normalization.
 
@@ -613,12 +635,88 @@ def test_price_run_bills_each_cache_class_at_its_own_rate() -> None:
     assert collapsed > price_run(usage, rates) * 3
 
 
+def test_price_usage_prices_codex_meta_agent_tokens_when_provider_cost_is_absent() -> None:
+    cost = price_usage(
+        {"input_tokens": 1_000_000, "cached_input_tokens": 0, "output_tokens": 1_000_000},
+        model="gpt-5.6-sol",
+        provider="codex",
+    )
+
+    assert cost == pytest.approx(35.0)
+
+
 def test_price_run_leaves_an_unpriced_model_unpriced_rather_than_free() -> None:
     """``None`` is not ``0.0`` — a model with no rates must not read as a free one."""
     assert resolve_rates("some-local-llm") is None
     assert price_run(Usage(input=1, cache_read=0, cache_write=0, output=1), None) is None
 
 
+def test_benchmark_persists_unavailable_cost_as_null(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
+    box_root = tmp_path / "box"
+    box_root.mkdir()
+    box = Sandbox(
+        root=box_root,
+        home=tmp_path / "home",
+        config_dir=tmp_path / "codex-home",
+        env={},
+        authenticated=True,
+        provider="codex",
+    )
+
+    @contextmanager
+    def fake_sandbox(*_args, **_kwargs):
+        yield box
+
+    async def fake_run_agent(*_args, **_kwargs) -> AgentResult:
+        return AgentResult(
+            provider="codex",
+            is_error=False,
+            subtype="success",
+            errors=None,
+            session_id="thread-1",
+            result="done",
+            num_turns=1,
+            total_cost_usd=None,
+            duration_ms=100,
+            usage={"input_tokens": 10, "output_tokens": 2},
+        )
+
+    def collect(_box: Sandbox, directory: Path) -> None:
+        (directory / "answer.md").write_text("OK")
+
+    monkeypatch.setattr("acumen.runner.sandbox", fake_sandbox)
+    monkeypatch.setattr("acumen.runner.run_agent", fake_run_agent)
+    monkeypatch.setattr("acumen.runner._collect_artifacts", collect)
+    monkeypatch.setattr("acumen.runner.render_agent_transcript", lambda *_args, **_kwargs: False)
+    monkeypatch.setattr("acumen.runner.agent_version", lambda _provider: "test")
+
+    run_dir = tmp_path / "run"
+    outcome = asyncio.run(
+        run_once(
+            key=RunKey(arm="noskill", split="test", model="gpt-unpriced", task_id="task", rep=1),
+            task=Task(id="task", train=TaskSplit("prompt", "OK"), test=TaskSplit("prompt", "OK")),
+            target=Target(
+                source="target",
+                ref="main",
+                src_dir=tmp_path / "src",
+                venv_dir=tmp_path / "venv",
+                commit="abc",
+                pkg_name="target",
+                pkg_version="1",
+            ),
+            run_dir=run_dir,
+            model="gpt-unpriced",
+            max_turns=1,
+            max_usd=1.0,
+        )
+    )
+
+    persisted = json.loads((run_dir / "result.json").read_text())
+    assert outcome.payload["cost_usd"] is None
+    assert persisted["cost_usd"] is None
+    assert persisted["cost_available"] is False
+
+
 def test_resolve_rates_accepts_provider_qualified_ids_and_config_overrides() -> None:
     assert resolve_rates("openai/gpt-5.6-sol") == resolve_rates("gpt-5.6-sol")
     assert resolve_rates("Claude-Opus-5") == resolve_rates("claude-opus-5")
@@ -988,6 +1086,35 @@ def test_codex_auth_resolution_and_isolated_env(tmp_path: Path, monkeypatch: pyt
     assert api_env["CODEX_API_KEY"] == "sk-openai"
 
 
+def test_codex_persisted_api_key_is_api_auth_not_a_subscription(
+    tmp_path: Path, monkeypatch: pytest.MonkeyPatch
+) -> None:
+    real_home = tmp_path / "real-codex"
+    real_home.mkdir()
+    (real_home / "auth.json").write_text('{"auth_mode": "apikey", "OPENAI_API_KEY": "sk-stored"}')
+    monkeypatch.setenv("CODEX_HOME", str(real_home))
+    monkeypatch.delenv("CODEX_API_KEY", raising=False)
+    monkeypatch.delenv("OPENAI_API_KEY", raising=False)
+
+    assert not session_auth_available("codex")
+    assert api_auth_available("codex")
+    assert resolve_auth_mode("auto", provider="codex") == "api"
+    assert resolve_auth_mode("api", provider="codex") == "api"
+    with pytest.raises(EnvError, match="--auth session"):
+        resolve_auth_mode("session", provider="codex")
+
+    isolated = tmp_path / "isolated-codex"
+    env = build_agent_env(
+        config_dir=isolated,
+        home=tmp_path / "home",
+        auth_mode="api",
+        provider="codex",
+    )
+    assert json.loads((isolated / "auth.json").read_text())["auth_mode"] == "apikey"
+    assert env["CODEX_API_KEY"] == ""
+    assert not env.get("OPENAI_API_KEY")
+
+
 def test_scrubbed_env_never_carries_the_other_providers_credentials(
     tmp_path: Path, monkeypatch: pytest.MonkeyPatch
 ) -> None:
@@ -1242,6 +1369,32 @@ def test_load_warning_needs_most_of_the_arm_to_miss(
     assert bool(notes) is warned
 
 
+def test_unpriced_runs_are_unknown_in_reports_not_zero_cost(
+    runs_root: Path, model: str, make_result, tmp_path: Path
+) -> None:
+    key = RunKey(arm="noskill", split="test", model=model, task_id="example_task", rep=1)
+    make_result(runs_root, key, cost_usd=0.0, cost_available=False)
+
+    df = load_results(runs_root)
+    test = df[df["split"] == "test"]
+    assert test["cost_usd"].isna().all()
+    assert pd.isna(arm_metrics(test).loc[0, "cost"])
+    assert any("cost unavailable" in note for note in _integrity_notes(df))
+    assert "&mdash;" in _runs_table_html(test, tmp_path)
+
+    tests = skill_tests(df)
+    assert tests.cost_unavailable
+    assert not tests.usable
+    assert "Cost comparison unavailable" in _tests_table_html(tests)
+
+    figure = tradeoff_figure(df)
+    try:
+        assert _pooled_marks(figure) == []
+        assert _model_marks(figure) == []
+    finally:
+        plt.close(figure)
+
+
 # --- the cost/success trade-off figure --------------------------------------------------
 
 #: The two markers matplotlib gives an error bar's caps; neither is a data point.
@@ -1713,6 +1866,49 @@ def test_runs_table_ranks_a_skill_that_failed_to_load_above_one_that_loaded() ->
     assert ranks == sorted(ranks, reverse=True)
 
 
+def _run(arm: str, model: str, success: bool, loaded: object, split: str = "test") -> dict:
+    return {"arm": arm, "model": model, "split": split, "success": success, "skill_loaded": loaded}
+
+
+def test_loaded_only_rates_pools_over_one_model_mix_on_both_sides() -> None:
+    """A model that never loaded the skill must leave the pooled baseline too.
+
+    Otherwise a model that fails every run — an outage, an unavailable id — depresses the
+    baseline while contributing nothing to the loaded side, manufacturing a gain from nothing.
+    """
+    rows = (
+        # A working model: loads the skill, same rate in both arms.
+        [_run("noskill", "good", True, None) for _ in range(4)]
+        + [_run("skill_v1", "good", True, True) for _ in range(4)]
+        # A broken model: fails everything and never loads the skill.
+        + [_run("noskill", "broken", False, None) for _ in range(4)]
+        + [_run("skill_v1", "broken", False, False) for _ in range(4)]
+    )
+    table = loaded_only_rates(pd.DataFrame(rows))
+    pooled = table[table["scope"] == "matched"].iloc[0]
+    raw = table[table["scope"] == "all"].iloc[0]
+
+    # Only the loading model is pooled, on both sides — so the skill shows no gain…
+    assert pooled["loaded"] == 4 and pooled["runs"] == 4
+    assert pooled["baseline"] == 1.0 and pooled["rate"] == 1.0
+    assert pooled["delta"] == 0.0
+    # …while the raw all-models row keeps the mix as it ran, and shows the artifact the
+    # matched row exists to expose: a +50% that is entirely the broken model leaving.
+    assert raw["runs"] == 8 and raw["baseline"] == 0.5 and raw["rate"] == 1.0
+    assert raw["delta"] == 0.5
+
+
+def test_loaded_only_rates_reports_a_model_that_never_loaded() -> None:
+    """The row still appears — a 0% load rate is the finding, not a reason to hide the model."""
+    rows = [_run("noskill", "m", True, None), _run("skill_v1", "m", False, False)]
+    table = loaded_only_rates(pd.DataFrame(rows))
+
+    row = table[table["model"] == "m"].iloc[0]
+    assert row["loaded"] == 0
+    assert row["load_rate"] == 0.0
+    assert pd.isna(row["rate"]) and pd.isna(row["delta"])
+
+
 # --- split diff ------------------------------------------------------------------------
 
 

From 09a6e6198d87a868a93cb4c0a07c8d3638369965 Mon Sep 17 00:00:00 2001
From: PauBadiaM <paubim@stanford.edu>
Date: Tue, 4 Aug 2026 14:09:14 -0700
Subject: [PATCH 06/15] Support target dependency groups and pip packages

---
 src/acumen/_skills/data/references/setup.md | 15 +++-
 src/acumen/config.py                        | 14 ++++
 src/acumen/env.py                           | 90 ++++++++++++++++++---
 src/acumen/scaffold.py                      |  4 +-
 tests/test_core.py                          | 84 ++++++++++++++++++-
 5 files changed, 193 insertions(+), 14 deletions(-)

diff --git a/src/acumen/_skills/data/references/setup.md b/src/acumen/_skills/data/references/setup.md
index fb3eb0d..7735cda 100644
--- a/src/acumen/_skills/data/references/setup.md
+++ b/src/acumen/_skills/data/references/setup.md
@@ -16,7 +16,9 @@ Only `repo` is required; delete a line to take its default.
 |---|---|---|
 | `repo` | — | GitHub URL (`https://`, `git@`, `ssh://`, `git://`) or a local path. A local path is resolved relative to `config.yaml` and must exist. |
 | `ref` | `main` | Branch/tag/commit; ignored for local paths. |
-| `extras` | `[]` | pip extras installed with the target, e.g. `[test]`. |
+| `extras` | `[]` | Extras the target publishes in `[project.optional-dependencies]`, e.g. `[test]`. |
+| `dependency_groups` | `[]` | PEP 735 groups from the target's `[dependency-groups]`, e.g. `[full]`. |
+| `pip_packages` | `[]` | Packages the target declares nowhere, installed alongside it. PEP 508 specifiers allowed (`numpy<2`). |
 | `python` | `"3.12"` | Interpreter for the target's venv (quote it — `3.10` unquoted is a float). |
 | `env_passthrough` | `[]` | Extra env var names agents may keep. The agent env is a clean allowlist (auth/proxy/TLS only); **everything else from your shell is blanked**. A target needing `OMP_NUM_THREADS`, `R_HOME`, a service key, etc. must name it here. |
 | `models` | `[claude-opus-5]` | Benchmark models. Claude (`claude*`) and Codex (`gpt-*`, `o1`/`o3`/`o4`, `codex-*`) models may be mixed. Duplicates rejected. `models[0]` is the default for the four `*_model` keys below. |
@@ -28,6 +30,17 @@ Only `repo` is required; delete a line to take its default.
 | `skill_name` | repo basename, slugified + lowercased | Must equal the `name:` in the skill's frontmatter. |
 | `prices` | built-in table | Per-model token rates (USD per million): `{model: {input, output, cached_input?, cache_write?}}`. Overrides or extends acumen's table — needed for a model it doesn't ship a rate for, a gateway, or negotiated rates. Cache rates default to 0.1x / 1.25x of input. See `acumen prices`. |
 
+**`extras` vs `dependency_groups` — pick the wrong one and the packages are missing.** Extras
+are published in package metadata, so they are what `pip install pkg[name]` resolves. PEP 735
+groups live only in the source tree and are invisible to anyone installing from PyPI. Rule of
+thumb: if `pip install <target>[name]` from PyPI would not work, `name` is a group. Check the
+target's `pyproject.toml` rather than guessing — many scverse packages declare **no** extras
+and put their optional stack in a `full` group. Asking for the wrong kind is now a hard error
+naming the right key, but only after the checkout, so read the file first.
+
+Changing `extras`, `dependency_groups` or `pip_packages` changes the cache key, so the venv
+rebuilds on the next command — no `--refresh-target` needed.
+
 The scaffold's `models:` line lists three Claude and three Codex models. With
 `n_replicates: 3`, one task expands to 36 runs per arm, so cut the matrix down before
 the first real pass.
diff --git a/src/acumen/config.py b/src/acumen/config.py
index 708dbbb..3776d7f 100644
--- a/src/acumen/config.py
+++ b/src/acumen/config.py
@@ -23,7 +23,17 @@ class Config:
     repo: str
     skill_name: str
     ref: str = "main"
+    #: Extras from the target's ``[project.optional-dependencies]``. These are published in
+    #: package metadata, so they are what ``pip install pkg[name]`` resolves against.
     extras: list[str] = field(default_factory=list)
+    #: PEP 735 groups from the target's ``[dependency-groups]``. Unlike extras these never
+    #: reach package metadata — they exist only in the source tree — so they need uv's
+    #: ``--group`` rather than the ``pkg[name]`` syntax.
+    dependency_groups: list[str] = field(default_factory=list)
+    #: Packages the target's own ``pyproject.toml`` declares nowhere, installed into the
+    #: target venv alongside it. Passed to ``uv pip install`` verbatim, so PEP 508
+    #: specifiers (``numpy<2``) work.
+    pip_packages: list[str] = field(default_factory=list)
     python: str = "3.12"
     #: Names of environment variables to carry from the operator's shell into isolated
     #: agents (bench sandboxes and the draft/improve/tasks meta-agents), on top of the
@@ -61,6 +71,8 @@ def is_local(self) -> bool:
     "repo",
     "ref",
     "extras",
+    "dependency_groups",
+    "pip_packages",
     "python",
     "env_passthrough",
     "models",
@@ -189,6 +201,8 @@ def parse_config(raw: Any) -> Config:
         skill_name=skill_name,
         ref=_optional_str(raw, "ref", "main"),
         extras=_str_list(raw, "extras", []),
+        dependency_groups=_str_list(raw, "dependency_groups", []),
+        pip_packages=_str_list(raw, "pip_packages", []),
         python=_optional_str(raw, "python", "3.12"),
         env_passthrough=_str_list(raw, "env_passthrough", []),
         models=models,
diff --git a/src/acumen/env.py b/src/acumen/env.py
index 567ed23..e0a447d 100644
--- a/src/acumen/env.py
+++ b/src/acumen/env.py
@@ -4,7 +4,8 @@
 
 * :func:`prepare_target` — clone (or adopt a local path), build one venv with the target
   package installed, and record the resolved commit and package version. Cached by
-  (repo, ref) so a pass doesn't re-clone.
+  (repo, ref, dependency selection) so a pass doesn't re-clone, but changing what gets
+  installed does rebuild.
 * :func:`scrubbed_env` — the filtered environment benchmark agents run under: auth and
   PATH only, a throwaway ``HOME`` and ``CLAUDE_CONFIG_DIR``, and nothing that could leak
   the user's own settings or memories into a run.
@@ -106,9 +107,23 @@ def _run(cmd: list[str], *, cwd: Path | None = None) -> str:
     return proc.stdout.strip()
 
 
-def cache_key(repo: str, ref: str) -> str:
-    """Return the cache directory name for a (repo, ref) pair."""
-    digest = hashlib.sha256(f"{repo}\n{ref}".encode()).hexdigest()[:12]
+def cache_key(
+    repo: str,
+    ref: str,
+    *,
+    extras: Sequence[str] = (),
+    dependency_groups: Sequence[str] = (),
+    pip_packages: Sequence[str] = (),
+) -> str:
+    """Return the cache directory name for a target and its dependency selection.
+
+    The selection is part of the key because it changes what lands in the venv: editing
+    ``extras`` or ``dependency_groups`` has to rebuild rather than silently reuse a venv
+    built from the previous selection. Each list is sorted first, so reordering a config
+    list is not a rebuild.
+    """
+    selection = "\n".join(",".join(sorted(names)) for names in (extras, dependency_groups, pip_packages))
+    digest = hashlib.sha256(f"{repo}\n{ref}\n{selection}".encode()).hexdigest()[:12]
     stem = slugify(Path(repo.rstrip("/")).name.removesuffix(".git") or "target")
     return f"{stem}-{digest}"
 
@@ -128,20 +143,58 @@ def _resolve_commit(src_dir: Path) -> str:
         return "local"  # a local path that isn't a git checkout is still a valid target
 
 
-def _package_name(src_dir: Path) -> str:
+def _load_pyproject(src_dir: Path) -> dict:
     pyproject = src_dir / "pyproject.toml"
     if not pyproject.is_file():
         raise EnvError(f"{src_dir} has no pyproject.toml — acumen needs an installable package")
     try:
-        data = tomllib.loads(pyproject.read_text())
+        return tomllib.loads(pyproject.read_text())
     except (OSError, tomllib.TOMLDecodeError) as err:
         raise EnvError(f"cannot parse {pyproject}: {err}") from err
+
+
+def _package_name(src_dir: Path) -> str:
+    data = _load_pyproject(src_dir)
     name = data.get("project", {}).get("name")
     if not name:
-        raise EnvError(f"{pyproject} does not declare [project].name")
+        raise EnvError(f"{src_dir / 'pyproject.toml'} does not declare [project].name")
     return str(name)
 
 
+def _validate_deps(src_dir: Path, cfg: Config) -> None:
+    """Reject extras and dependency groups the target does not declare.
+
+    Both mechanisms fail quietly otherwise: uv only *warns* about an extra that a package
+    does not provide and still exits 0, so a typo — or an extra that is really a PEP 735
+    group — silently yields a venv missing everything that was asked for. The two are easy
+    to confuse, so when a name is declared as the other kind the error says which key to use.
+    """
+    data = _load_pyproject(src_dir)
+    extras = set(data.get("project", {}).get("optional-dependencies", {}))
+    groups = set(data.get("dependency-groups", {}))
+
+    def _available(declared: set[str], label: str) -> str:
+        return f"available {label}: {', '.join(sorted(declared))}" if declared else f"the target declares no {label}"
+
+    for name in cfg.extras:
+        if name in extras:
+            continue
+        if name in groups:
+            raise EnvError(
+                f"{name!r} is a dependency group, not an extra — use dependency_groups: [{name}]. "
+                "Extras live in [project.optional-dependencies] and are published in package "
+                "metadata; PEP 735 groups live in [dependency-groups] and never leave the source tree."
+            )
+        raise EnvError(f"{name!r} is not an extra of the target; {_available(extras, 'extras')}")
+
+    for name in cfg.dependency_groups:
+        if name in groups:
+            continue
+        if name in extras:
+            raise EnvError(f"{name!r} is an extra, not a dependency group — use extras: [{name}].")
+        raise EnvError(f"{name!r} is not a dependency group of the target; {_available(groups, 'dependency groups')}")
+
+
 def _installed_version(python: Path, pkg_name: str) -> str:
     code = f"import importlib.metadata as m; print(m.version({pkg_name!r}))"
     try:
@@ -156,9 +209,10 @@ def prepare_target(cfg: Config, cache_root: Path, *, refresh: bool = False) -> T
     Parameters
     ----------
     cfg
-        The pass config; supplies ``repo``, ``ref``, ``extras`` and ``python``.
+        The pass config; supplies ``repo``, ``ref``, ``python`` and the dependency
+        selection (``extras``, ``dependency_groups``, ``pip_packages``).
     cache_root
-        Directory to hold checkouts and venvs, keyed by (repo, ref).
+        Directory to hold checkouts and venvs, keyed by (repo, ref, dependency selection).
     refresh
         Rebuild even if a ready-marked cache entry exists.
 
@@ -168,7 +222,13 @@ def prepare_target(cfg: Config, cache_root: Path, *, refresh: bool = False) -> T
     """
     if shutil.which("uv") is None:
         raise EnvError("uv is not on PATH — acumen uses it to build the target venv")
-    entry = cache_root / cache_key(cfg.repo, cfg.ref)
+    entry = cache_root / cache_key(
+        cfg.repo,
+        cfg.ref,
+        extras=cfg.extras,
+        dependency_groups=cfg.dependency_groups,
+        pip_packages=cfg.pip_packages,
+    )
     venv_dir = entry / "venv"
     marker = entry / READY_MARKER
 
@@ -201,6 +261,9 @@ def prepare_target(cfg: Config, cache_root: Path, *, refresh: bool = False) -> T
     if not cfg.is_local:
         _clone(cfg.repo, cfg.ref, src_dir)
 
+    # Before the venv, so an unsatisfiable selection costs nothing but the checkout.
+    _validate_deps(src_dir, cfg)
+
     entry.mkdir(parents=True, exist_ok=True)
     if venv_dir.exists():
         shutil.rmtree(venv_dir)
@@ -211,7 +274,12 @@ def prepare_target(cfg: Config, cache_root: Path, *, refresh: bool = False) -> T
     if cfg.extras:
         spec = f"{src_dir}[{','.join(cfg.extras)}]"
     python = venv_dir / ("Scripts" if os.name == "nt" else "bin") / ("python.exe" if os.name == "nt" else "python")
-    _run(["uv", "pip", "install", "--python", str(python), spec])
+    install = ["uv", "pip", "install", "--python", str(python), spec, *cfg.pip_packages]
+    # Groups must be path-qualified: a bare --group resolves against the *cwd's* pyproject,
+    # and _run does not set one.
+    for group in cfg.dependency_groups:
+        install += ["--group", f"{src_dir / 'pyproject.toml'}:{group}"]
+    _run(install)
 
     target = Target(
         source=cfg.repo,
diff --git a/src/acumen/scaffold.py b/src/acumen/scaffold.py
index b2bba94..1d4ab0c 100644
--- a/src/acumen/scaffold.py
+++ b/src/acumen/scaffold.py
@@ -20,7 +20,9 @@
 
 repo: https://github.com/OWNER/REPO   # GitHub URL, or a local path to an installable package
 ref: main                             # branch, tag, or commit (ignored for local paths)
-extras: []                            # optional pip extras, e.g. [dev, test]
+extras: []                            # pip extras the target publishes, e.g. [test]
+dependency_groups: []                 # PEP 735 groups from the target's pyproject, e.g. [full]
+pip_packages: []                      # packages the target declares nowhere, e.g. [harmonypy]
 python: "3.12"                        # interpreter for the target's throwaway venv
 env_passthrough: []                   # extra env vars agents may keep (e.g. [OMP_NUM_THREADS]); the agent env is otherwise a clean allowlist
 
diff --git a/tests/test_core.py b/tests/test_core.py
index 170b85d..2d209d6 100644
--- a/tests/test_core.py
+++ b/tests/test_core.py
@@ -36,13 +36,15 @@
     run_agent,
 )
 from acumen.bench import build_matrix, pending
-from acumen.config import ConfigError, derive_skill_name, load_config, parse_config
+from acumen.config import Config, ConfigError, derive_skill_name, load_config, parse_config
 from acumen.env import (
     AUTH_ENV_VARS,
     EnvError,
     Target,
+    _validate_deps,
     api_auth_available,
     build_agent_env,
+    cache_key,
     resolve_auth_mode,
     scrubbed_env,
     session_auth_available,
@@ -152,6 +154,86 @@ def test_config_rejects_unknown_keys() -> None:
         parse_config({"repo": "https://example.com/pkg", "modles": ["x"]})
 
 
+def test_config_dependency_selection() -> None:
+    cfg = parse_config({"repo": "https://example.com/pkg"})
+    assert cfg.dependency_groups == []
+    assert cfg.pip_packages == []
+
+    cfg2 = parse_config({"repo": "https://example.com/pkg", "dependency_groups": ["full"], "pip_packages": ["numpy<2"]})
+    assert cfg2.dependency_groups == ["full"]
+    assert cfg2.pip_packages == ["numpy<2"]
+
+    with pytest.raises(ConfigError, match="list of non-empty strings"):
+        parse_config({"repo": "https://example.com/pkg", "dependency_groups": "full"})
+
+
+# --- target dependency selection -------------------------------------------------------
+
+
+def _target(tmp_path: Path, body: str) -> Path:
+    src = tmp_path / "src"
+    src.mkdir()
+    (src / "pyproject.toml").write_text(f'[project]\nname = "pkg"\n{body}')
+    return src
+
+
+def _cfg(**kwargs: list[str]) -> Config:
+    return parse_config({"repo": "https://example.com/pkg", **kwargs})
+
+
+def test_validate_deps_points_at_the_right_key(tmp_path: Path) -> None:
+    """A group asked for as an extra is the failure that silently empties the venv."""
+    src = _target(tmp_path, '\n[dependency-groups]\nfull = ["scanpy"]\n')
+
+    _validate_deps(src, _cfg(dependency_groups=["full"]))  # the correct spelling passes
+
+    with pytest.raises(EnvError, match=r"'full' is a dependency group, not an extra"):
+        _validate_deps(src, _cfg(extras=["full"]))
+
+
+def test_validate_deps_reports_what_is_declared(tmp_path: Path) -> None:
+    src = _target(tmp_path, '\n[project.optional-dependencies]\ntest = ["pytest"]\n')
+
+    with pytest.raises(EnvError, match="the target declares no dependency groups"):
+        _validate_deps(src, _cfg(dependency_groups=["nope"]))
+    with pytest.raises(EnvError, match="available extras: test"):
+        _validate_deps(src, _cfg(extras=["nope"]))
+    with pytest.raises(EnvError, match=r"'test' is an extra, not a dependency group"):
+        _validate_deps(src, _cfg(dependency_groups=["test"]))
+
+
+def test_validate_deps_ignores_pip_packages(tmp_path: Path) -> None:
+    """Arbitrary package names can't be checked against the source tree; uv rejects bad ones."""
+    src = _target(tmp_path, "")
+
+    _validate_deps(src, _cfg(pip_packages=["harmonypy", "numpy<2"]))
+
+
+def test_cache_key_tracks_the_dependency_selection() -> None:
+    base = cache_key("https://example.com/pkg", "main")
+
+    assert cache_key("https://example.com/pkg", "main", extras=["test"]) != base
+    assert cache_key("https://example.com/pkg", "main", dependency_groups=["test"]) != base
+    assert cache_key("https://example.com/pkg", "main", pip_packages=["test"]) != base
+    # ... and the three are distinct from each other, not just from the base
+    assert (
+        len(
+            {
+                cache_key("https://example.com/pkg", "main", extras=["x"]),
+                cache_key("https://example.com/pkg", "main", dependency_groups=["x"]),
+                cache_key("https://example.com/pkg", "main", pip_packages=["x"]),
+            }
+        )
+        == 3
+    )
+
+
+def test_cache_key_is_stable_under_reordering() -> None:
+    assert cache_key("https://example.com/pkg", "main", extras=["a", "b"]) == cache_key(
+        "https://example.com/pkg", "main", extras=["b", "a"]
+    )
+
+
 def test_load_config_resolves_a_local_repo(project: Path) -> None:
     cfg = load_config(project / "config.yaml")
 

From 47f2b996fd7c4516e7cc2bb82509c25b831f2ac9 Mon Sep 17 00:00:00 2001
From: PauBadiaM <paubim@stanford.edu>
Date: Tue, 4 Aug 2026 14:15:07 -0700
Subject: [PATCH 07/15] Ignore hidden paths in backend import test

---
 tests/test_core.py | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/tests/test_core.py b/tests/test_core.py
index 2d209d6..8b3d61a 100644
--- a/tests/test_core.py
+++ b/tests/test_core.py
@@ -601,7 +601,10 @@ def test_backends_are_optional_at_import_time() -> None:
     alone; the SDK may only be reached inside a function or under ``TYPE_CHECKING``.
     """
     offenders: list[str] = []
-    for path in sorted(Path(acumen.__file__).parent.rglob("*.py")):
+    package_root = Path(acumen.__file__).parent
+    for path in sorted(package_root.rglob("*.py")):
+        if any(part.startswith(".") for part in path.relative_to(package_root).parts):
+            continue  # editor caches and other hidden paths are not package source
         for node in ast.parse(path.read_text()).body:
             if isinstance(node, ast.If) and ast.unparse(node.test) == "TYPE_CHECKING":
                 continue  # annotations only — never executed

From cf7906d2a2051154f0f8a8d43b207c678cc53be1 Mon Sep 17 00:00:00 2001
From: PauBadiaM <paubim@stanford.edu>
Date: Tue, 4 Aug 2026 15:59:00 -0700
Subject: [PATCH 08/15] Add dual cost tracking and fail-closed agent sandboxes

---
 .../_skills/data/references/benchmark.md      |  17 +-
 src/acumen/_skills/data/references/setup.md   |   2 +-
 src/acumen/agents.py                          | 191 ++++++++++++--
 src/acumen/bench.py                           |   3 +-
 src/acumen/draft.py                           |  15 +-
 src/acumen/improve.py                         |  16 +-
 src/acumen/pricefeed.py                       |  17 +-
 src/acumen/prices.py                          | 121 +++++++--
 src/acumen/procs.py                           |   7 +-
 src/acumen/runner.py                          |  35 ++-
 src/acumen/sandbox.py                         |   3 +-
 src/acumen/ship.py                            |  87 ++++---
 src/acumen/taskgen.py                         |  17 +-
 src/acumen/transcript.py                      |   2 +-
 tests/test_core.py                            | 238 +++++++++++++++++-
 15 files changed, 637 insertions(+), 134 deletions(-)

diff --git a/src/acumen/_skills/data/references/benchmark.md b/src/acumen/_skills/data/references/benchmark.md
index 044660f..c47f308 100644
--- a/src/acumen/_skills/data/references/benchmark.md
+++ b/src/acumen/_skills/data/references/benchmark.md
@@ -52,14 +52,15 @@ resume safe. Useful fields: `success`, `reason`, `answer`, `expected`, `model`,
 `cost_usd`, `input_tokens`, `output_tokens`, `duration_s`, `skill_hash`, `skill_name`,
 `skill_loaded`, `pkg_version`, `commit`, `session_id`, `subtype`, `error`.
 
-**`cost_usd` is computed from tokens, not reported by the provider.** Each run records
-`input_tokens` (the total), `cache_read_tokens`, `cache_write_tokens`, and `output_tokens`;
-cost is those counts times the model's rates, which are frozen into the run as
-`price_rates` so old runs are never re-priced. The provider's own figure, where it exists,
-is kept alongside as `provider_cost_usd` for cross-checking. A model with no rate leaves
-`cost_available` false and `cost_usd` null, so reports cannot mistake it for a free run. Inspect or
-re-check the rate table with `acumen prices` / `acumen prices --refresh`, and set
-`prices:` in `config.yaml` to price an unlisted model.
+**`cost_usd` prefers the provider's value and falls back to token inference.** Each run records
+`provider_cost_usd`, `inferred_cost_usd`, `cost_source`, and the absolute/relative delta when
+both exist. Claude's SDK total is API-equivalent (not necessarily an invoice charge under
+session authentication); Codex reports no dollars, so it uses inference. Token classes and the
+rates frozen into `price_rates` remain available for reproduction, including Claude's separate
+five-minute and one-hour cache writes plus the legacy aggregate. A model with neither provider
+cost nor rates leaves `cost_available` false and `cost_usd` null, so reports cannot mistake it
+for a free run. Inspect or re-check the rate table with `acumen prices` / `acumen prices
+--refresh`, and set `prices:` in `config.yaml` to price an unlisted model.
 
 `codex exec` has no cap of its own, so acumen enforces both from its event stream, at
 different resolutions. `max_turns` really does stop the run — counted in completed model
diff --git a/src/acumen/_skills/data/references/setup.md b/src/acumen/_skills/data/references/setup.md
index 7735cda..67f9eb8 100644
--- a/src/acumen/_skills/data/references/setup.md
+++ b/src/acumen/_skills/data/references/setup.md
@@ -28,7 +28,7 @@ Only `repo` is required; delete a line to take its default.
 | `max_usd` | `3.0` | **Benchmark agents only.** |
 | `draft_model` / `improve_model` / `tasks_model` / `ship_model` | `models[0]` | Meta-agent models; overridable per command with `--model`. |
 | `skill_name` | repo basename, slugified + lowercased | Must equal the `name:` in the skill's frontmatter. |
-| `prices` | built-in table | Per-model token rates (USD per million): `{model: {input, output, cached_input?, cache_write?}}`. Overrides or extends acumen's table — needed for a model it doesn't ship a rate for, a gateway, or negotiated rates. Cache rates default to 0.1x / 1.25x of input. See `acumen prices`. |
+| `prices` | built-in table | Per-model token rates (USD per million): `{model: {input, output, cached_input?, cache_write?, cache_write_5m?, cache_write_1h?}}`. Overrides or extends acumen's table — needed for a model it doesn't ship a rate for, a gateway, or negotiated rates. See `acumen prices`. |
 
 **`extras` vs `dependency_groups` — pick the wrong one and the packages are missing.** Extras
 are published in package metadata, so they are what `pip install pkg[name]` resolves. PEP 735
diff --git a/src/acumen/agents.py b/src/acumen/agents.py
index 41864f6..fd22c31 100644
--- a/src/acumen/agents.py
+++ b/src/acumen/agents.py
@@ -31,6 +31,19 @@
 
 AgentProvider = Literal["claude", "codex"]
 
+_PRIVATE_NETWORK_HOSTS = (
+    "localhost",
+    "*.localhost",
+    "127.*",
+    "0.0.0.0",
+    "10.*",
+    "169.254.*",
+    "192.168.*",
+    *(f"172.{second}.*" for second in range(16, 32)),
+    "::1",
+    "metadata.google.internal",
+)
+
 
 class AgentError(RuntimeError):
     """Raised when an agent model or provider cannot be resolved."""
@@ -103,7 +116,8 @@ class AgentOptions:
     model: str
     max_turns: int | None = None
     max_usd: float | None = None
-    add_dirs: tuple[Path, ...] = ()
+    read_dirs: tuple[Path, ...] = ()
+    write_dirs: tuple[Path, ...] = ()
     discover_skills: bool = True
     claude_hooks: dict[str, Any] | None = None
     deny_paths: tuple[Path, ...] = ()
@@ -113,28 +127,113 @@ class AgentOptions:
     #: means pricing its usage ourselves — pass the caller's rate table in as this hook.
     #: Without it ``max_usd`` cannot be enforced for a Codex run.
     price_usd: Callable[[dict[str, Any]], float | None] | None = None
-    #: Codex's own sandbox mode. ``"workspace-write"`` is right nearly everywhere, but it needs
-    #: unprivileged user namespaces, which some hosts refuse — Ubuntu 24.04 restricts them by
-    #: AppArmor default, and containers often lack the capability. There bubblewrap cannot start
-    #: and every file write fails, so ``"danger-full-access"`` is the way to run at all. It is
-    #: less reckless than it sounds here: acumen already gives each run a throwaway ``HOME``, a
-    #: scrubbed env allowlist, a temp working directory and the ``deny_paths`` hook, so Codex's
-    #: sandbox is a second layer rather than the only one.
-    codex_sandbox: str = "workspace-write"
+
+
+def _dedupe_paths(paths: Sequence[Path]) -> list[Path]:
+    result: list[Path] = []
+    for path in paths:
+        resolved = path.expanduser().resolve()
+        if resolved.exists() and resolved not in result:
+            result.append(resolved)
+    return result
+
+
+def _runtime_read_dirs() -> list[Path]:
+    """Host paths required to start ordinary Python and shell subprocesses."""
+    candidates = [
+        Path(sys.base_prefix),
+        Path(sys.prefix),
+        Path(sys.executable).resolve().parent,
+        Path("/bin"),
+        Path("/usr"),
+        Path("/lib"),
+        Path("/lib64"),
+        Path("/etc/ssl"),
+        Path("/etc/hosts"),
+        Path("/etc/resolv.conf"),
+        Path("/System"),
+        Path("/Library"),
+    ]
+    return _dedupe_paths(candidates)
+
+
+def _access_roots(options: AgentOptions) -> tuple[list[Path], list[Path]]:
+    env_paths = [
+        Path(value)
+        for key in ("HOME", "TMPDIR", "XDG_CACHE_HOME", "XDG_CONFIG_HOME", "CLAUDE_CONFIG_DIR", "CODEX_HOME")
+        if (value := options.env.get(key))
+    ]
+    writes = _dedupe_paths([options.cwd, *options.write_dirs, *env_paths])
+    reads = _dedupe_paths([*_runtime_read_dirs(), *options.read_dirs, *writes])
+    return reads, writes
+
+
+def _claude_path_rule(tool: str, path: Path) -> str:
+    return f"{tool}(//{str(path).lstrip('/')}/**)"
+
+
+def _claude_settings(options: AgentOptions) -> dict[str, Any]:
+    """Build strict run-local Claude settings for unattended execution."""
+    reads, writes = _access_roots(options)
+    return {
+        "permissions": {
+            "allow": [
+                "Bash",
+                "WebFetch",
+                "WebSearch",
+                "Skill",
+                *(_claude_path_rule("Read", path) for path in reads),
+                *(_claude_path_rule("Edit", path) for path in writes),
+            ],
+            "deny": [f"WebFetch(domain:{host})" for host in _PRIVATE_NETWORK_HOSTS],
+        },
+        "sandbox": {
+            "enabled": True,
+            "failIfUnavailable": True,
+            "autoAllowBashIfSandboxed": True,
+            "allowUnsandboxedCommands": False,
+            "excludedCommands": [],
+            "filesystem": {
+                "denyRead": ["/"],
+                "allowRead": [str(path) for path in reads],
+                "denyWrite": ["/"],
+                "allowWrite": [str(path) for path in writes],
+            },
+            "network": {
+                "allowedDomains": ["*"],
+                "deniedDomains": list(_PRIVATE_NETWORK_HOSTS),
+                "strictAllowlist": True,
+                "allowLocalBinding": False,
+                "allowAllUnixSockets": False,
+            },
+        },
+    }
 
 
 def _claude_options(options: AgentOptions) -> ClaudeAgentOptions:
     from claude_agent_sdk import ClaudeAgentOptions
 
+    config_dir_value = options.env.get("CLAUDE_CONFIG_DIR")
+    if not config_dir_value:
+        raise AgentError("Claude sandboxing requires a run-local CLAUDE_CONFIG_DIR")
+    settings_path = Path(config_dir_value) / "acumen-settings.json"
+    settings_path.parent.mkdir(parents=True, exist_ok=True)
+    settings_path.write_text(json.dumps(_claude_settings(options)), encoding="utf-8")
+
     return ClaudeAgentOptions(
         cwd=str(options.cwd),
         env=options.env,
         model=options.model,
         max_turns=options.max_turns,
         max_budget_usd=options.max_usd,
-        add_dirs=[str(path) for path in options.add_dirs],
+        add_dirs=[],
         setting_sources=["project"] if options.discover_skills else [],
-        permission_mode="bypassPermissions",
+        permission_mode="dontAsk",
+        # The SDK's ``settings`` field is a path passed to Claude Code's
+        # ``--settings`` flag, not an in-memory settings object.  Keeping this
+        # file in the isolated config directory also prevents user settings
+        # from being inherited by the run.
+        settings=str(settings_path),
         system_prompt={"type": "preset", "preset": "claude_code"},
         hooks=options.claude_hooks,
         stderr=options.stderr,
@@ -186,17 +285,35 @@ def _codex_command(options: AgentOptions, prompt: str) -> list[str]:
         "--ephemeral",
         "--ignore-user-config",
         "--ignore-rules",
+        "--strict-config",
         "--skip-git-repo-check",
         "--color",
         "never",
-        "--sandbox",
-        options.codex_sandbox,
         "-c",
         "project_doc_max_bytes=0",
         "-c",
         "project_doc_fallback_filenames=[]",
+        # Built-in web/browser/app surfaces do not run under local permission
+        # profiles. Disable them so every network request made by an isolated
+        # run goes through the profile-controlled command proxy.
+        "-c",
+        'web_search="disabled"',
+        "-c",
+        "tools.web_search=false",
+        "-c",
+        "features.browser_use=false",
+        "-c",
+        "features.browser_use_external=false",
         "-c",
-        "sandbox_workspace_write.network_access=true",
+        "features.browser_use_full_cdp_access=false",
+        "-c",
+        "features.apps=false",
+        "-c",
+        "features.remote_plugin=false",
+        "-c",
+        "features.network_proxy=true",
+        "-c",
+        'approval_policy="never"',
         "--cd",
         str(options.cwd),
         "--model",
@@ -204,8 +321,41 @@ def _codex_command(options: AgentOptions, prompt: str) -> list[str]:
     ]
     if options.deny_paths:
         command.append("--dangerously-bypass-hook-trust")
-    for path in options.add_dirs:
-        command.extend(("--add-dir", str(path)))
+    reads, writes = _access_roots(options)
+    # The Linux command sandbox re-executes the Codex binary through bubblewrap.
+    # Its resolved standalone install is outside the usual /usr runtime roots,
+    # so make the containing directory visible without exposing user config.
+    reads = [*reads, Path(cli).resolve().parent]
+    # Keep lexical system aliases as well as their resolved targets.  Landlock
+    # evaluates the command path it is given, so allowing /usr/bin does not make
+    # an invocation through the /bin -> /usr/bin symlink readable.
+    reads.extend(path for path in (Path("/bin"), Path("/lib"), Path("/lib64")) if path.exists())
+    reads = list(dict.fromkeys(reads))
+    command.extend(("-c", 'default_permissions="acumen"'))
+    filesystem = {":root": "deny", ":minimal": "read"}
+    for path in reads:
+        filesystem[str(path)] = "read"
+    for path in writes:
+        filesystem[str(path)] = "write"
+    # One inline TOML table keeps paths opaque. Passing each path as a dotted
+    # ``-c`` key misparses versioned and hidden directories (for example
+    # ``0.146.0/...`` or ``.venv``) as nested configuration keys.
+    filesystem_toml = ",".join(f"{json.dumps(path)}={json.dumps(access)}" for path, access in filesystem.items())
+    command.extend(("-c", f"permissions.acumen.filesystem={{{filesystem_toml}}}"))
+    command.extend(("-c", "permissions.acumen.network.enabled=true"))
+    command.extend(("-c", 'permissions.acumen.network.mode="limited"'))
+    domains = {
+        "*": "allow",
+        "localhost": "deny",
+        "*.localhost": "deny",
+        "127.0.0.1": "deny",
+        "0.0.0.0": "deny",
+        "::1": "deny",
+        "metadata.google.internal": "deny",
+    }
+    domains_toml = ",".join(f"{json.dumps(host)}={json.dumps(access)}" for host, access in domains.items())
+    command.extend(("-c", f"permissions.acumen.network.domains={{{domains_toml}}}"))
+    command.extend(("-c", "permissions.acumen.network.allow_local_binding=false"))
     command.append(prompt)
     return command
 
@@ -332,15 +482,20 @@ def _install_codex_guard(options: AgentOptions) -> None:
 _SANDBOX_FAILURES = (
     "fs sandbox helper failed",
     "bwrap:",
-    "Failed to write file",
+    "failed to write file",
     "sandbox helper",
+    "sandbox setup failed",
+    "failed to apply sandbox",
+    "landlock",
+    "unprivileged user namespace",
 )
 
 
 def _sandbox_failure(lines: Sequence[str]) -> str | None:
     """Return the first stderr line showing a sandbox failure, or ``None``."""
     for line in lines:
-        if any(marker in line for marker in _SANDBOX_FAILURES):
+        lowered = line.lower()
+        if any(marker in lowered for marker in _SANDBOX_FAILURES):
             return line.strip()
     return None
 
diff --git a/src/acumen/bench.py b/src/acumen/bench.py
index 55eee83..9c4837e 100644
--- a/src/acumen/bench.py
+++ b/src/acumen/bench.py
@@ -136,7 +136,8 @@ async def run_matrix(
         Ceiling on simultaneous agents.
     auth_mode
         Which credential every run authenticates with. Under ``"session"``, the recorded
-        ``cost_usd`` is the equivalent API-rate cost derived from tokens, not metered spend.
+        Claude's SDK value is API-equivalent rather than necessarily metered spend;
+        Codex uses frozen-table token inference.
     skill
         The skill every run in this matrix installs, or ``None`` for the baseline. One
         matrix is one arm, so this is a property of the pass rather than of a run.
diff --git a/src/acumen/draft.py b/src/acumen/draft.py
index b41d392..02b8d3e 100644
--- a/src/acumen/draft.py
+++ b/src/acumen/draft.py
@@ -21,7 +21,7 @@
 from acumen.config import Config
 from acumen.env import AuthMode, Target, build_agent_env
 from acumen.logs import LiveLog
-from acumen.prices import price_usage, pricer
+from acumen.prices import price_usage, pricer, resolve_cost
 from acumen.procs import label_env, reap
 from acumen.prompts import draft_prompt
 from acumen.skills import (
@@ -158,7 +158,8 @@ async def draft_skill(
             # Codex reports no billed figure, so a budget cap needs the run's own rate table.
             price_usd=pricer(selected_model, cfg.prices),
             # The drafter reads the target source; benchmark agents never do.
-            add_dirs=(target.src_dir,),
+            read_dirs=(target.src_dir, target.venv_dir),
+            write_dirs=(work,),
             discover_skills=True,
         )
 
@@ -194,12 +195,10 @@ async def draft_skill(
         skill = load_skill(skills_root, version, expect_name=cfg.skill_name)
         return DraftResult(
             skill=skill,
-            cost_usd=price_usage(
-                result.usage,
-                model=selected_model,
-                provider=result.provider,
-                overrides=cfg.prices,
-            ),
+            cost_usd=resolve_cost(
+                result.total_cost_usd,
+                price_usage(result.usage, model=selected_model, provider=result.provider, overrides=cfg.prices),
+            ).cost_usd,
             turns=result.num_turns,
             log_jsonl=log.jsonl_path if log is not None else None,
             log_html=log.html_path if log is not None and log.html_rendered else None,
diff --git a/src/acumen/improve.py b/src/acumen/improve.py
index 611bb99..932f8ba 100644
--- a/src/acumen/improve.py
+++ b/src/acumen/improve.py
@@ -9,7 +9,7 @@
 
 1. **Structurally.** The agent's ``cwd`` is a throwaway work dir and its readable material
    is a *curated copy* of train-split runs. The real ``runs/`` tree is not on its ``cwd``,
-   not in ``add_dirs``, and not in scope — so there is no test directory to reach in the
+   not in the read-only roots, and not in scope — so there is no test directory to reach in the
    first place.
 2. **Belt-and-braces.** A ``PreToolUse`` hook denies any tool call whose path resolves under
    a ``runs/*/test/`` subtree, so even a call that names an absolute path back into the
@@ -43,7 +43,7 @@
     arm_name,
     parse_run_dir,
 )
-from acumen.prices import price_usage, pricer
+from acumen.prices import price_usage, pricer, resolve_cost
 from acumen.procs import label_env, reap
 from acumen.prompts import improve_prompt
 from acumen.skills import (
@@ -526,6 +526,8 @@ async def improve_skill(
             max_usd=max_usd,
             # Codex reports no billed figure, so a budget cap needs the run's own rate table.
             price_usd=pricer(selected_model, cfg.prices),
+            read_dirs=(target.venv_dir,),
+            write_dirs=(work,),
             discover_skills=True,
             # Belt-and-braces over the structural isolation: refuse any call that reaches a
             # held-out test result, wherever the agent points it. Built only for Claude — the
@@ -572,12 +574,10 @@ async def improve_skill(
         return ImproveResult(
             skill=skill,
             parent=parent.version,
-            cost_usd=price_usage(
-                result.usage,
-                model=selected_model,
-                provider=result.provider,
-                overrides=cfg.prices,
-            ),
+            cost_usd=resolve_cost(
+                result.total_cost_usd,
+                price_usage(result.usage, model=selected_model, provider=result.provider, overrides=cfg.prices),
+            ).cost_usd,
             turns=result.num_turns,
             n_train_runs=len(train_runs),
             n_train_failures=n_failures,
diff --git a/src/acumen/pricefeed.py b/src/acumen/pricefeed.py
index 706763c..b2b19b2 100644
--- a/src/acumen/pricefeed.py
+++ b/src/acumen/pricefeed.py
@@ -130,9 +130,9 @@ def parse_anthropic(markdown: str, *, today: date) -> dict[str, Rates]:
             continue
         columns = {
             "input": next(i for i, c in enumerate(lowered) if "base input" in c),
-            # The 5-minute TTL is what an agent run actually uses; the 1h column is a
-            # different product, not a better estimate of the same one.
             "cache_write": next(i for i, c in enumerate(lowered) if "5m cache" in c),
+            "cache_write_5m": next(i for i, c in enumerate(lowered) if "5m cache" in c),
+            "cache_write_1h": next(i for i, c in enumerate(lowered) if "1h cache" in c),
             "cached_input": next(i for i, c in enumerate(lowered) if "cache hits" in c),
             "output": next(i for i, c in enumerate(lowered) if "output" in c),
         }
@@ -212,7 +212,14 @@ def describe(self) -> str:
         # and on a cached workload that is most of the bill.
         moved = [
             f"{field} ${getattr(self.before, field)}→${getattr(self.after, field)}"
-            for field in ("input", "cached_input", "cache_write", "output")
+            for field in (
+                "input",
+                "cached_input",
+                "cache_write",
+                "cache_write_5m",
+                "cache_write_1h",
+                "output",
+            )
             if getattr(self.before, field) != getattr(self.after, field)
         ]
         return f"  ~ {self.model}: {', '.join(moved)}"
@@ -246,6 +253,10 @@ def to_yaml_block(rates: dict[str, Rates]) -> str:
         lines.append(f"    input: {rate.input}")
         lines.append(f"    cached_input: {rate.cached_input}")
         lines.append(f"    cache_write: {rate.cache_write}")
+        if rate.cache_write_5m is not None:
+            lines.append(f"    cache_write_5m: {rate.cache_write_5m}")
+        if rate.cache_write_1h is not None:
+            lines.append(f"    cache_write_1h: {rate.cache_write_1h}")
         lines.append(f"    output: {rate.output}")
     return "\n".join(lines) + "\n"
 
diff --git a/src/acumen/prices.py b/src/acumen/prices.py
index 0ac5269..9fa62f2 100644
--- a/src/acumen/prices.py
+++ b/src/acumen/prices.py
@@ -1,10 +1,9 @@
-"""Per-model token rates, and the cost of one run computed from its token counts.
+"""Per-model token rates and provider-first cost resolution.
 
-The provider-reported dollar figure is not a usable benchmark metric: the Claude SDK
-returns one, ``codex exec`` returns none at all, so a mixed matrix would compare a real
-number against a zero. Tokens, by contrast, are reported by both. So acumen records the
-token breakdown as the primary measurement and derives cost from a rate table here —
-one arithmetic path, identical for every provider, and reproducible after the fact.
+The Claude SDK reports an API-equivalent dollar cost while ``codex exec`` reports none.
+Acumen therefore preserves two measurements: the provider value when one exists and a
+reproducible inference from this frozen rate table. The provider value is canonical;
+inference is the fallback and remains alongside it for comparison.
 
 Two properties this design depends on:
 
@@ -41,15 +40,17 @@
 class Rates:
     """What one model costs, in USD per million tokens.
 
-    ``cached_input`` and ``cache_write`` are absolute rates, not multipliers — both
-    providers happen to price them at 0.1x and 1.25x of ``input``, but that is their
-    convention to change, not an invariant worth encoding.
+    All cache fields are absolute rates, not multipliers. ``cache_write`` is the legacy
+    aggregate rate; the optional duration-specific fields retain Claude's distinct
+    five-minute and one-hour write prices.
     """
 
     input: float
     cached_input: float
     cache_write: float
     output: float
+    cache_write_5m: float | None = None
+    cache_write_1h: float | None = None
 
     @classmethod
     def from_mapping(cls, value: Any, *, model: str) -> Rates:
@@ -61,7 +62,14 @@ def from_mapping(cls, value: Any, *, model: str) -> Rates:
         """
         if not isinstance(value, dict):
             raise ValueError(f"prices for {model!r} must be a mapping, got {type(value).__name__}")
-        unknown = set(value) - {"input", "cached_input", "cache_write", "output"}
+        unknown = set(value) - {
+            "input",
+            "cached_input",
+            "cache_write",
+            "cache_write_5m",
+            "cache_write_1h",
+            "output",
+        }
         if unknown:
             raise ValueError(f"prices for {model!r} has unknown keys: {sorted(unknown)}")
         for key in ("input", "output"):
@@ -72,11 +80,14 @@ def from_mapping(cls, value: Any, *, model: str) -> Rates:
             if isinstance(raw, bool) or not isinstance(raw, int | float) or raw < 0:
                 raise ValueError(f"prices for {model!r}: {key!r} must be a non-negative number, got {raw!r}")
             numbers[key] = float(raw)
+        cache_write = numbers.get("cache_write", round(numbers["input"] * 1.25, _CENTS))
         return cls(
             input=numbers["input"],
             cached_input=numbers.get("cached_input", round(numbers["input"] * 0.1, _CENTS)),
-            cache_write=numbers.get("cache_write", round(numbers["input"] * 1.25, _CENTS)),
+            cache_write=cache_write,
             output=numbers["output"],
+            cache_write_5m=numbers.get("cache_write_5m", cache_write),
+            cache_write_1h=numbers.get("cache_write_1h", round(numbers["input"] * 2, _CENTS)),
         )
 
 
@@ -86,13 +97,23 @@ def from_mapping(cls, value: Any, *, model: str) -> Rates:
 _CENTS = 6
 
 
-def _rates(input_: float, output: float, *, cached: float | None = None, write: float | None = None) -> Rates:
+def _rates(
+    input_: float,
+    output: float,
+    *,
+    cached: float | None = None,
+    write: float | None = None,
+    split_writes: bool = False,
+) -> Rates:
     """Both providers price cache reads at 0.1x input and writes at 1.25x."""
+    write_rate = round(input_ * 1.25, _CENTS) if write is None else write
     return Rates(
         input=input_,
         cached_input=round(input_ * 0.1, _CENTS) if cached is None else cached,
-        cache_write=round(input_ * 1.25, _CENTS) if write is None else write,
+        cache_write=write_rate,
         output=output,
+        cache_write_5m=write_rate if split_writes else None,
+        cache_write_1h=round(input_ * 2, _CENTS) if split_writes else None,
     )
 
 
@@ -102,13 +123,13 @@ def _rates(input_: float, output: float, *, cached: float | None = None, write:
 DEFAULT_RATES: dict[str, Rates] = {
     # Anthropic. Sonnet 5 carries an introductory rate through 2026-08-31; the standard
     # $3/$15 resumes after it, so re-verify this row rather than trusting it past then.
-    "claude-opus-5": _rates(5.00, 25.00),
-    "claude-opus-4-8": _rates(5.00, 25.00),
-    "claude-opus-4-7": _rates(5.00, 25.00),
-    "claude-sonnet-5": _rates(2.00, 10.00),
-    "claude-sonnet-4-6": _rates(3.00, 15.00),
-    "claude-haiku-4-5": _rates(1.00, 5.00),
-    "claude-haiku-4-5-20251001": _rates(1.00, 5.00),
+    "claude-opus-5": _rates(5.00, 25.00, split_writes=True),
+    "claude-opus-4-8": _rates(5.00, 25.00, split_writes=True),
+    "claude-opus-4-7": _rates(5.00, 25.00, split_writes=True),
+    "claude-sonnet-5": _rates(2.00, 10.00, split_writes=True),
+    "claude-sonnet-4-6": _rates(3.00, 15.00, split_writes=True),
+    "claude-haiku-4-5": _rates(1.00, 5.00, split_writes=True),
+    "claude-haiku-4-5-20251001": _rates(1.00, 5.00, split_writes=True),
     # OpenAI.
     "gpt-5.6-sol": _rates(5.00, 30.00),
     "gpt-5.6-terra": _rates(2.00, 12.00),
@@ -142,6 +163,8 @@ class Usage:
     cache_read: int
     cache_write: int
     output: int
+    cache_write_5m: int = 0
+    cache_write_1h: int = 0
 
     @property
     def total(self) -> int:
@@ -196,12 +219,21 @@ def normalize_usage(usage: dict | None, *, provider: str = "claude") -> Usage:
             output=output,
         )
     cache_read = _int(usage, "cache_read_input_tokens")
+    cache_detail = usage.get("cache_creation")
+    if not isinstance(cache_detail, dict):
+        cache_detail = {}
+    cache_write_5m = _int(cache_detail, "ephemeral_5m_input_tokens") or _int(usage, "cache_creation_5m_input_tokens")
+    cache_write_1h = _int(cache_detail, "ephemeral_1h_input_tokens") or _int(usage, "cache_creation_1h_input_tokens")
     cache_write = _int(usage, "cache_creation_input_tokens")
+    if cache_write == 0:
+        cache_write = cache_write_5m + cache_write_1h
     return Usage(
         input=_int(usage, "input_tokens") + cache_read + cache_write,
         cache_read=cache_read,
         cache_write=cache_write,
         output=output,
+        cache_write_5m=cache_write_5m,
+        cache_write_1h=cache_write_1h,
     )
 
 
@@ -237,14 +269,61 @@ def price_run(usage: Usage, rates: Rates | None) -> float | None:
     if rates is None:
         return None
     per_token = 1_000_000
+    classified_writes = min(usage.cache_write, usage.cache_write_5m + usage.cache_write_1h)
+    aggregate_writes = usage.cache_write - classified_writes
+    write_5m_rate = rates.cache_write_5m if rates.cache_write_5m is not None else rates.cache_write
+    write_1h_rate = rates.cache_write_1h if rates.cache_write_1h is not None else rates.cache_write
     return (
         usage.fresh_input * rates.input
         + usage.cache_read * rates.cached_input
-        + usage.cache_write * rates.cache_write
+        + aggregate_writes * rates.cache_write
+        + usage.cache_write_5m * write_5m_rate
+        + usage.cache_write_1h * write_1h_rate
         + usage.output * rates.output
     ) / per_token
 
 
+@dataclass(frozen=True)
+class CostResolution:
+    """Canonical and comparative costs for one completed agent run."""
+
+    cost_usd: float | None
+    cost_source: str
+    provider_cost_usd: float | None
+    inferred_cost_usd: float | None
+    cost_delta_usd: float | None
+    cost_delta_pct: float | None
+
+    @property
+    def available(self) -> bool:
+        """Whether this run has any canonical dollar cost."""
+        return self.cost_usd is not None
+
+
+def resolve_cost(provider_cost_usd: float | None, inferred_cost_usd: float | None) -> CostResolution:
+    """Prefer a provider-reported cost while retaining reproducible inference."""
+    canonical = provider_cost_usd if provider_cost_usd is not None else inferred_cost_usd
+    source = (
+        "provider"
+        if provider_cost_usd is not None
+        else ("inferred" if inferred_cost_usd is not None else "unavailable")
+    )
+    delta = None
+    pct = None
+    if provider_cost_usd is not None and inferred_cost_usd is not None:
+        delta = inferred_cost_usd - provider_cost_usd
+        if provider_cost_usd != 0:
+            pct = delta / provider_cost_usd
+    return CostResolution(
+        cost_usd=canonical,
+        cost_source=source,
+        provider_cost_usd=provider_cost_usd,
+        inferred_cost_usd=inferred_cost_usd,
+        cost_delta_usd=delta,
+        cost_delta_pct=pct,
+    )
+
+
 def rates_payload(rates: Rates | None) -> dict[str, float] | None:
     """The rates as they go into ``result.json`` — the run's frozen price provenance."""
     return None if rates is None else asdict(rates)
diff --git a/src/acumen/procs.py b/src/acumen/procs.py
index b76778c..e491e5c 100644
--- a/src/acumen/procs.py
+++ b/src/acumen/procs.py
@@ -18,10 +18,9 @@
 it on the way out, before their directory is removed, on every exit path including
 cancellation.
 
-The marker is what makes this exact rather than a guess at which paths a run touches. The
-benchmark sandboxes do put their throwaway ``HOME`` and ``TMPDIR`` under the same directory,
-but ``ship``'s agent deliberately runs in the operator's real environment and real checkout,
-where no such path appears — one explicit variable covers both.
+The marker is what makes this exact rather than a guess at which paths a run touches. Every
+agent has a throwaway ``HOME`` and ``TMPDIR`` under its run directory, but the explicit marker
+still identifies descendants that change directory or sanitize part of their environment.
 
 Reading *another* process's environment is the one step with no portable stdlib spelling:
 it is a file read on Linux, a ``KERN_PROCARGS2`` sysctl on macOS, and a ``ReadProcessMemory``
diff --git a/src/acumen/runner.py b/src/acumen/runner.py
index 87f7723..2802393 100644
--- a/src/acumen/runner.py
+++ b/src/acumen/runner.py
@@ -26,7 +26,7 @@
     TRANSCRIPT_JSONL,
     RunKey,
 )
-from acumen.prices import Rates, normalize_usage, price_run, pricer, rates_payload, resolve_rates
+from acumen.prices import Rates, normalize_usage, price_run, pricer, rates_payload, resolve_cost, resolve_rates
 from acumen.prompts import benchmark_prompt
 from acumen.sandbox import Sandbox, sandbox
 from acumen.skills import Skill
@@ -162,6 +162,7 @@ def _build_options(
     model: str,
     max_turns: int,
     max_usd: float,
+    read_dirs: tuple[Path, ...] = (),
     price_overrides: dict[str, Rates] | None = None,
     stderr: Callable[[str], None] | None = None,
 ) -> AgentOptions:
@@ -191,6 +192,7 @@ def _build_options(
         max_usd=max_usd,
         discover_skills=True,
         price_usd=pricer(model, price_overrides),
+        read_dirs=read_dirs,
         stderr=stderr,
     )
 
@@ -229,7 +231,8 @@ async def run_once(
         Already resolved against per-task overrides by the caller.
     auth_mode
         Which credential the benchmark run authenticates with. Under ``"session"``, recorded
-        ``cost_usd`` is the equivalent API-rate cost derived from tokens, not metered spend.
+        Claude's SDK cost is API-equivalent rather than necessarily an invoice charge;
+        Codex falls back to frozen-table token inference.
     skill
         The skill to install, or ``None`` for the baseline arm. Must agree with
         ``key.arm``, else the run would be filed under an arm it doesn't belong to.
@@ -287,6 +290,7 @@ async def run_once(
             model=model,
             max_turns=max_turns,
             max_usd=max_usd,
+            read_dirs=(target.venv_dir,),
             price_overrides=price_overrides,
             stderr=stderr,
         )
@@ -323,12 +327,13 @@ async def run_once(
             success, reason = grade.success, grade.reason
 
     usage = normalize_usage(result.usage if result else None, provider=provider)
-    # Tokens are the measurement; cost is derived from them at a frozen rate, so the two
-    # providers are priced by one arithmetic path and old runs stay reproducible when the
-    # rate table moves. The provider's own figure is kept alongside as a cross-check.
+    # Preserve frozen-table inference for both providers, but prefer the SDK's value when it
+    # exists. For session authentication that provider figure is API-equivalent, not
+    # necessarily money charged on an invoice.
     rates = resolve_rates(model, price_overrides)
-    computed = price_run(usage, rates)
+    inferred = price_run(usage, rates)
     provider_cost = result.total_cost_usd if result else None
+    cost = resolve_cost(provider_cost, inferred)
     payload = {
         "task_id": key.task_id,
         "split": key.split,
@@ -336,21 +341,29 @@ async def run_once(
         "arm": key.arm,
         "model": model,
         "agent": provider,
-        # Which credential paid for the run. Cost is derived from tokens either way, but under
-        # "session" it is what the run would have cost at API rates rather than metered spend.
+        "provider": "anthropic" if provider == "claude" else "openai",
+        "backend": "claude_agent_sdk" if provider == "claude" else "codex_cli",
+        # Which credential paid for the run. Under "session", provider cost is an
+        # API-equivalent SDK estimate rather than necessarily metered spend.
         "auth_mode": auth_mode,
         "rep": key.rep,
         "success": success,
         "reason": reason,
         "turns": result.num_turns if result else 0,
-        "cost_usd": computed,
-        "cost_available": computed is not None,
-        "provider_cost_usd": provider_cost,
+        "cost_usd": cost.cost_usd,
+        "cost_available": cost.available,
+        "cost_source": cost.cost_source,
+        "provider_cost_usd": cost.provider_cost_usd,
+        "inferred_cost_usd": cost.inferred_cost_usd,
+        "cost_delta_usd": cost.cost_delta_usd,
+        "cost_delta_pct": cost.cost_delta_pct,
         "price_rates": rates_payload(rates),
         "input_tokens": usage.input,
         "output_tokens": usage.output,
         "cache_read_tokens": usage.cache_read,
         "cache_write_tokens": usage.cache_write,
+        "cache_write_5m_tokens": usage.cache_write_5m,
+        "cache_write_1h_tokens": usage.cache_write_1h,
         "duration_s": round((result.duration_ms if result else 0) / 1000, 2),
         "answer": grade.answer,
         "expected": split.answer.strip(),
diff --git a/src/acumen/sandbox.py b/src/acumen/sandbox.py
index bc313e8..d178932 100644
--- a/src/acumen/sandbox.py
+++ b/src/acumen/sandbox.py
@@ -103,7 +103,8 @@ def sandbox(
     auth_mode
         Which credential the run authenticates with (see :func:`acumen.env.build_agent_env`).
         Benchmark runs pass their resolved ``--auth`` mode. Under ``"session"``, recorded
-        ``cost_usd`` is the equivalent API-rate cost derived from tokens, not metered spend.
+        Claude's SDK value is API-equivalent rather than necessarily metered spend;
+        Codex uses frozen-table token inference.
     base
         Parent directory for the sandbox. Defaults to the system temp dir.
     keep
diff --git a/src/acumen/ship.py b/src/acumen/ship.py
index 634aefb..e23aceb 100644
--- a/src/acumen/ship.py
+++ b/src/acumen/ship.py
@@ -13,11 +13,11 @@
 stages for it is a clean copy of the skill content (``SKILL.md`` + ``references/``, with acumen's
 ``meta.json`` bookkeeping stripped) to be copied verbatim into the wheel.
 
-**Deliberately NOT isolated.** Unlike every other agent, the shipper runs in the user's
-real environment — real network, real git/``gh`` credentials, real ``uv`` — because it builds,
-installs, pushes, and opens a PR. There is nothing to keep honest here: its output is a PR the
-maintainer reviews (or a working-tree diff), so isolation would only stop it doing its job. The
-correctness gate is therefore not env scrubbing but the **build-verify** the agent performs:
+The shipper retains the user's git/``gh`` environment and public network because it builds,
+installs, pushes, and opens a PR, but it still runs inside the same fail-closed filesystem
+sandbox as every other agent. Its writable roots are the target checkout and a temporary home;
+the staged skill and target environment are read-only. The **build-verify** the agent performs
+remains the correctness gate:
 build the wheel in a fresh venv, install it, run the entry point, confirm ``SKILL.md`` ships from
 the installed location — the only thing that catches a mis-wired backend shipping a wheel with no
 skill data. That gate lives in the agent's own turns; acumen trusts the agent's report.
@@ -41,9 +41,11 @@
     AuthMode,
     Target,
     agent_cli_dir,
+    seed_codex_credentials,
+    seed_credentials,
 )
 from acumen.logs import LiveLog
-from acumen.prices import price_usage, pricer
+from acumen.prices import price_usage, pricer, resolve_cost
 from acumen.procs import label_env, reap
 from acumen.prompts import ship_prompt
 from acumen.skills import Skill, content_files, load_skill
@@ -131,8 +133,15 @@ def _stage_skill_payload(skill: Skill, dest: Path) -> Path:
     return dest
 
 
-def _ship_env(target: Target, auth_mode: AuthMode, provider: AgentProvider = "claude") -> dict[str, str]:
-    """The environment for the (unisolated) ship agent: the real env, target venv on PATH.
+def _ship_env(
+    target: Target,
+    auth_mode: AuthMode,
+    provider: AgentProvider = "claude",
+    *,
+    home: Path | None = None,
+    config_dir: Path | None = None,
+) -> dict[str, str]:
+    """Build the shipper environment, optionally rooted in a temporary home.
 
     Unlike the benchmark and meta-agents this is NOT scrubbed — the agent needs real
     git/``gh`` credentials, network, and ``uv``. The target venv's ``bin`` is prepended so
@@ -172,22 +181,21 @@ def _ship_env(target: Target, auth_mode: AuthMode, provider: AgentProvider = "cl
     if existing:
         parts.append(existing)
     env["PATH"] = os.pathsep.join(parts)
+    if home is not None:
+        env.update(
+            HOME=str(home),
+            TMPDIR=str(home / "tmp"),
+            XDG_CONFIG_HOME=str(home / ".config"),
+            XDG_CACHE_HOME=str(home / ".cache"),
+        )
+    if config_dir is not None:
+        env["CLAUDE_CONFIG_DIR"] = str(config_dir)
+        env["CODEX_HOME"] = str(config_dir)
+        if auth_mode == "session":
+            (seed_credentials if provider == "claude" else seed_codex_credentials)(config_dir)
     return env
 
 
-def _config_dir(env: dict[str, str]) -> Path:
-    """The ``CLAUDE_CONFIG_DIR`` the ship agent's transcript lands under.
-
-    The ship agent is unisolated, so it uses the user's real config dir — ``CLAUDE_CONFIG_DIR``
-    if set, else ``$HOME/.claude`` — never a throwaway.
-    """
-    explicit = env.get("CLAUDE_CONFIG_DIR")
-    if explicit:
-        return Path(explicit)
-    home = env.get("HOME") or str(Path.home())
-    return Path(home) / ".claude"
-
-
 async def ship_skill(
     *,
     cfg: Config,
@@ -217,8 +225,8 @@ async def ship_skill(
         The skill version to ship, e.g. ``v2``. Required — there is no implicit "latest"/"best".
     auth_mode
         Which credential the ship agent authenticates with — ``"session"`` (the Claude
-        subscription) or ``"api"``. Only the model credential is affected; the agent still runs
-        in the user's real environment with real git/``gh``/network access.
+        subscription) or ``"api"``. The agent retains git/``gh`` environment credentials and
+        public network access inside its filesystem sandbox.
     model
         Override for the ship model; defaults to ``cfg.ship_model``.
     max_turns, max_usd
@@ -247,6 +255,12 @@ async def ship_skill(
     holder = Path(tempfile.mkdtemp(prefix="acumen-ship-"))
     try:
         skill_src = _stage_skill_payload(skill, holder / "skill")
+        selected_model = model or cfg.ship_model
+        provider = provider_for_model(selected_model)
+        home = holder / "home"
+        config_dir = home / (".claude" if provider == "claude" else ".codex")
+        for path in (home, config_dir, home / "tmp", home / ".config", home / ".cache"):
+            path.mkdir(parents=True, exist_ok=True)
 
         prompt = ship_prompt(
             package=target.pkg_name,
@@ -256,15 +270,16 @@ async def ship_skill(
             skill_src=skill_src,
             mode=mode,
         )
-        selected_model = model or cfg.ship_model
-        provider = provider_for_model(selected_model)
         options = AgentOptions(
             # The agent edits the checkout in place, so its cwd IS the checkout.
             cwd=target.src_dir,
             # Real environment — NOT scrubbed: git/gh creds + network + uv. Marked with the
             # holder so the teardown below can find whatever the agent leaves running; the
             # holder path appears nowhere else in this agent's environment.
-            env=label_env(_ship_env(target, auth_mode, provider), holder),
+            env=label_env(
+                _ship_env(target, auth_mode, provider, home=home, config_dir=config_dir),
+                holder,
+            ),
             model=selected_model,
             # No default budget cap: only bound the agent if the caller asked.
             max_turns=max_turns,
@@ -272,7 +287,8 @@ async def ship_skill(
             # Codex reports no billed figure, so a budget cap needs the run's own rate table.
             price_usd=pricer(selected_model, cfg.prices),
             # It reads the staged skill payload to copy into the wheel.
-            add_dirs=(skill_src,),
+            read_dirs=(skill_src, target.venv_dir),
+            write_dirs=(target.src_dir, holder),
             # No skill discovery: the shipper packages a skill, it does not consume one.
             discover_skills=False,
         )
@@ -288,11 +304,10 @@ async def ship_skill(
         except Exception as err:  # noqa: BLE001 - a failed ship is an error to report, re-raised below
             agent_error = err
         finally:
-            # The ship agent is unisolated, so its transcript lands under the user's real config
-            # dir (not a throwaway). Render the HTML log in a finally so an aborted run (the SDK
-            # raises on a cap breach, after yielding the result) is still inspectable.
+            # Render while the throwaway config still holds the native transcript. Keep this in
+            # a finally so a cap breach remains inspectable.
             if log is not None:
-                log.finalize(config_dir=_config_dir(options.env), work_dir=target.src_dir, result=result)
+                log.finalize(config_dir=config_dir, work_dir=target.src_dir, result=result)
 
         if agent_error is not None:
             raise ShipError(f"the shipping agent failed: {type(agent_error).__name__}: {agent_error}") from agent_error
@@ -305,12 +320,10 @@ async def ship_skill(
             skill=skill,
             mode=mode,
             summary=result.result or "",
-            cost_usd=price_usage(
-                result.usage,
-                model=selected_model,
-                provider=result.provider,
-                overrides=cfg.prices,
-            ),
+            cost_usd=resolve_cost(
+                result.total_cost_usd,
+                price_usage(result.usage, model=selected_model, provider=result.provider, overrides=cfg.prices),
+            ).cost_usd,
             turns=result.num_turns,
             log_jsonl=log.jsonl_path if log is not None else None,
             log_html=log.html_path if log is not None and log.html_rendered else None,
diff --git a/src/acumen/taskgen.py b/src/acumen/taskgen.py
index 4c4d5c4..12016c3 100644
--- a/src/acumen/taskgen.py
+++ b/src/acumen/taskgen.py
@@ -46,7 +46,7 @@
 from acumen.config import Config
 from acumen.env import AuthMode, Target, build_agent_env
 from acumen.logs import LiveLog
-from acumen.prices import price_usage, pricer
+from acumen.prices import price_usage, pricer, resolve_cost
 from acumen.procs import label_env, reap
 from acumen.prompts import taskgen_prompt
 from acumen.tasks import Task, TaskError, load_tasks
@@ -116,7 +116,7 @@ def ignore(dir_path: str, names: list[str]) -> set[str]:
 def build_filtered_source(src: Path, dest: Path) -> Path:
     """Copy ``src`` to ``dest`` with skills and agent-guidance stripped out.
 
-    This is the structural half of the skill-bias isolation: the generator's ``add_dirs`` points
+    This is the structural half of the skill-bias isolation: the generator's read policy points
     at the returned copy, not the real checkout, so existing skills are simply absent from what
     it can read.
 
@@ -384,7 +384,8 @@ async def generate_tasks(
             price_usd=pricer(selected_model, cfg.prices),
             # The generator reads the target source, like the drafter; benchmark agents
             # never do. It points at the *filtered* copy, not the real checkout.
-            add_dirs=(source_copy,),
+            read_dirs=(source_copy, target.venv_dir),
+            write_dirs=(work,),
             # No skill discovery at all — the generator must not load a skill that would bias it.
             discover_skills=False,
             # Belt-and-braces over the filtered copy: deny any call that reaches an existing
@@ -428,12 +429,10 @@ async def generate_tasks(
         return TaskGenResult(
             tasks=generated,
             out_path=out_path,
-            cost_usd=price_usage(
-                result.usage,
-                model=selected_model,
-                provider=result.provider,
-                overrides=cfg.prices,
-            ),
+            cost_usd=resolve_cost(
+                result.total_cost_usd,
+                price_usage(result.usage, model=selected_model, provider=result.provider, overrides=cfg.prices),
+            ).cost_usd,
             turns=result.num_turns,
             log_jsonl=log.jsonl_path if log is not None else None,
             log_html=log.html_path if log is not None and log.html_rendered else None,
diff --git a/src/acumen/transcript.py b/src/acumen/transcript.py
index 6bc3988..7668240 100644
--- a/src/acumen/transcript.py
+++ b/src/acumen/transcript.py
@@ -40,7 +40,7 @@ def locate_transcript(config_dir: Path, work_dir: Path, session_id: str) -> Path
     ----------
     config_dir
         The ``CLAUDE_CONFIG_DIR`` the agent ran under (throwaway, for isolated agents; the
-        user's real one for the unisolated ship agent).
+        run-local one used by the agent).
     work_dir
         The agent's ``cwd`` — what the project key is computed from.
     session_id
diff --git a/tests/test_core.py b/tests/test_core.py
index 8b3d61a..1144ecc 100644
--- a/tests/test_core.py
+++ b/tests/test_core.py
@@ -11,6 +11,7 @@
 import json
 import os
 import re
+import shutil
 import subprocess
 import sys
 import time
@@ -29,6 +30,8 @@
     AgentError,
     AgentOptions,
     AgentResult,
+    _claude_settings,
+    _codex_command,
     _codex_terminal,
     _install_codex_guard,
     check_agent_cli,
@@ -54,7 +57,17 @@
 from acumen.logs import LiveLog
 from acumen.paths import RunKey, arm_name, is_complete, parse_run_dir, run_dir
 from acumen.pricefeed import PriceFeedError, diff_rates, parse_anthropic, parse_openai
-from acumen.prices import DEFAULT_RATES, Rates, Usage, normalize_usage, price_run, price_usage, pricer, resolve_rates
+from acumen.prices import (
+    DEFAULT_RATES,
+    Rates,
+    Usage,
+    normalize_usage,
+    price_run,
+    price_usage,
+    pricer,
+    resolve_cost,
+    resolve_rates,
+)
 from acumen.procs import label_env, reap, supported, survivors
 from acumen.prompts import draft_prompt, feedback_block, improve_prompt
 from acumen.report import (
@@ -391,6 +404,86 @@ def test_codex_adapter_runs_jsonl_cli(tmp_path: Path) -> None:
     assert len(seen) == 4
 
 
+def test_agent_sandbox_policies_are_fail_closed_and_workspace_scoped(tmp_path: Path) -> None:
+    work = tmp_path / "work"
+    home = tmp_path / "home"
+    venv = tmp_path / "venv"
+    source = tmp_path / "source"
+    for path in (work, home / "tmp", home / ".codex", venv, source):
+        path.mkdir(parents=True)
+    options = AgentOptions(
+        cwd=work,
+        env={"PATH": os.environ["PATH"], "HOME": str(home), "CODEX_HOME": str(home / ".codex")},
+        model="gpt-5.6-sol",
+        read_dirs=(venv, source),
+    )
+
+    claude = _claude_settings(options)
+    assert claude["sandbox"]["enabled"] is True
+    assert claude["sandbox"]["failIfUnavailable"] is True
+    assert claude["sandbox"]["allowUnsandboxedCommands"] is False
+    assert claude["sandbox"]["filesystem"]["denyRead"] == ["/"]
+    assert str(venv.resolve()) in claude["sandbox"]["filesystem"]["allowRead"]
+    assert str(work.resolve()) in claude["sandbox"]["filesystem"]["allowWrite"]
+    assert str(source.resolve()) not in claude["sandbox"]["filesystem"]["allowWrite"]
+    assert "localhost" in claude["sandbox"]["network"]["deniedDomains"]
+    assert "127.*" in claude["sandbox"]["network"]["deniedDomains"]
+    assert claude["sandbox"]["network"]["allowLocalBinding"] is False
+
+    command = _codex_command(options, "do it")
+    overrides = [command[index + 1] for index, value in enumerate(command[:-1]) if value == "-c"]
+    assert 'default_permissions="acumen"' in overrides
+    assert 'web_search="disabled"' in overrides
+    assert "tools.web_search=false" in overrides
+    assert "features.browser_use=false" in overrides
+    assert "features.apps=false" in overrides
+    assert "features.network_proxy=true" in overrides
+    filesystem = next(value for value in overrides if value.startswith("permissions.acumen.filesystem="))
+    assert '":root"="deny"' in filesystem
+    assert '":minimal"="read"' in filesystem
+    assert f'{json.dumps(str(work.resolve()))}="write"' in filesystem
+    assert f'{json.dumps(str(venv.resolve()))}="read"' in filesystem
+    codex_dir = Path(shutil.which("codex", path=options.env["PATH"])).resolve().parent
+    assert f'{json.dumps(str(codex_dir))}="read"' in filesystem
+    assert '"/bin"="read"' in filesystem
+    assert "permissions.acumen.network.enabled=true" in overrides
+    assert 'permissions.acumen.network.mode="limited"' in overrides
+    domains = next(value for value in overrides if value.startswith("permissions.acumen.network.domains="))
+    assert '"*"="allow"' in domains
+    assert '"localhost"="deny"' in domains
+    assert '"127.0.0.1"="deny"' in domains
+    assert '"metadata.google.internal"="deny"' in domains
+    assert "permissions.acumen.network.allow_local_binding=false" in overrides
+    assert "--ignore-user-config" in command and "--ignore-rules" in command
+    assert str(Path.home() / ".codex" / "config.toml") not in "\n".join(command)
+    assert str(Path.home() / ".codex" / "rules") not in "\n".join(command)
+
+
+def test_claude_options_write_run_local_settings_file(tmp_path: Path) -> None:
+    pytest.importorskip("claude_agent_sdk")
+    from acumen.agents import _claude_options
+
+    work = tmp_path / "work"
+    config_dir = tmp_path / "claude-config"
+    work.mkdir()
+    options = AgentOptions(
+        cwd=work,
+        env={
+            "PATH": os.environ["PATH"],
+            "HOME": str(tmp_path / "home"),
+            "CLAUDE_CONFIG_DIR": str(config_dir),
+        },
+        model="claude-haiku-4-5",
+    )
+
+    sdk_options = _claude_options(options)
+
+    settings_path = Path(sdk_options.settings)
+    assert settings_path == config_dir / "acumen-settings.json"
+    settings = json.loads(settings_path.read_text())
+    assert settings == _claude_settings(options)
+
+
 def test_codex_guard_denies_isolated_paths(tmp_path: Path) -> None:
     denied = tmp_path / "runs"
     denied.mkdir()
@@ -705,6 +798,51 @@ def test_usage_normalizes_both_providers_without_collapsing_the_cache_split() ->
     assert (empty.input, empty.output, empty.total) == (0, 0, 0)
 
 
+def test_claude_cache_writes_retain_five_minute_and_one_hour_classes() -> None:
+    usage = normalize_usage(
+        {
+            "input_tokens": 100,
+            "cache_creation_input_tokens": 3_000,
+            "cache_creation": {
+                "ephemeral_5m_input_tokens": 1_000,
+                "ephemeral_1h_input_tokens": 2_000,
+            },
+        }
+    )
+    rates = Rates(
+        input=4,
+        cached_input=0.4,
+        cache_write=5,
+        output=20,
+        cache_write_5m=5,
+        cache_write_1h=8,
+    )
+
+    assert usage.cache_write == 3_000
+    assert (usage.cache_write_5m, usage.cache_write_1h) == (1_000, 2_000)
+    assert price_run(usage, rates) == pytest.approx((100 * 4 + 1_000 * 5 + 2_000 * 8) / 1_000_000)
+
+
+def test_provider_cost_is_canonical_while_inference_and_nested_agent_delta_survive() -> None:
+    # The SDK total includes nested agents while the parent usage block can be smaller.
+    cost = resolve_cost(provider_cost_usd=1.25, inferred_cost_usd=0.40)
+    assert cost.cost_usd == 1.25
+    assert cost.cost_source == "provider"
+    assert cost.inferred_cost_usd == 0.40
+    assert cost.cost_delta_usd == pytest.approx(-0.85)
+    assert cost.cost_delta_pct == pytest.approx(-0.68)
+
+
+def test_cost_falls_back_to_inference_and_never_turns_unavailable_into_free() -> None:
+    inferred = resolve_cost(None, 0.40)
+    assert (inferred.cost_usd, inferred.cost_source, inferred.available) == (0.40, "inferred", True)
+
+    unavailable = resolve_cost(None, None)
+    assert unavailable.cost_usd is None
+    assert unavailable.cost_source == "unavailable"
+    assert unavailable.available is False
+
+
 def test_price_run_bills_each_cache_class_at_its_own_rate() -> None:
     """Collapsing the split and billing it all at the base input rate overcharges ~3.6x.
 
@@ -800,6 +938,86 @@ def collect(_box: Sandbox, directory: Path) -> None:
     assert outcome.payload["cost_usd"] is None
     assert persisted["cost_usd"] is None
     assert persisted["cost_available"] is False
+    assert persisted["cost_source"] == "unavailable"
+    assert persisted["provider_cost_usd"] is None
+    assert persisted["inferred_cost_usd"] is None
+    assert persisted["provider"] == "openai"
+    assert persisted["backend"] == "codex_cli"
+    assert persisted["agent"] == "codex"
+
+
+def test_benchmark_persists_provider_first_cost_for_nested_claude_agents(
+    tmp_path: Path, monkeypatch: pytest.MonkeyPatch
+) -> None:
+    box_root = tmp_path / "box"
+    box_root.mkdir()
+    box = Sandbox(
+        root=box_root,
+        home=tmp_path / "home",
+        config_dir=tmp_path / "claude-home",
+        env={},
+        authenticated=True,
+        provider="claude",
+    )
+
+    @contextmanager
+    def fake_sandbox(*_args, **_kwargs):
+        yield box
+
+    async def fake_run_agent(*_args, **_kwargs) -> AgentResult:
+        return AgentResult(
+            provider="claude",
+            is_error=False,
+            subtype="success",
+            errors=None,
+            session_id=None,
+            result="done",
+            num_turns=3,
+            # SDK totals include nested agents; the parent usage block below does not.
+            total_cost_usd=1.25,
+            duration_ms=100,
+            usage={"input_tokens": 1_000, "output_tokens": 0},
+        )
+
+    def collect(_box: Sandbox, directory: Path) -> None:
+        (directory / "answer.md").write_text("OK")
+
+    monkeypatch.setattr("acumen.runner.sandbox", fake_sandbox)
+    monkeypatch.setattr("acumen.runner.run_agent", fake_run_agent)
+    monkeypatch.setattr("acumen.runner._collect_artifacts", collect)
+    monkeypatch.setattr("acumen.runner.agent_version", lambda _provider: "test")
+
+    run_dir = tmp_path / "run"
+    asyncio.run(
+        run_once(
+            key=RunKey(arm="noskill", split="test", model="claude-opus-5", task_id="task", rep=1),
+            task=Task(id="task", train=TaskSplit("prompt", "OK"), test=TaskSplit("prompt", "OK")),
+            target=Target(
+                source="target",
+                ref="main",
+                src_dir=tmp_path / "src",
+                venv_dir=tmp_path / "venv",
+                commit="abc",
+                pkg_name="target",
+                pkg_version="1",
+            ),
+            run_dir=run_dir,
+            model="claude-opus-5",
+            max_turns=5,
+            max_usd=2.0,
+        )
+    )
+
+    persisted = json.loads((run_dir / "result.json").read_text())
+    assert persisted["cost_usd"] == 1.25
+    assert persisted["cost_source"] == "provider"
+    assert persisted["provider_cost_usd"] == 1.25
+    assert persisted["inferred_cost_usd"] == pytest.approx(0.005)
+    assert persisted["cost_delta_usd"] == pytest.approx(-1.245)
+    assert persisted["cost_delta_pct"] == pytest.approx(-0.996)
+    assert persisted["provider"] == "anthropic"
+    assert persisted["backend"] == "claude_agent_sdk"
+    assert persisted["agent"] == "claude"
 
 
 def test_resolve_rates_accepts_provider_qualified_ids_and_config_overrides() -> None:
@@ -861,10 +1079,24 @@ def test_config_prices_block_validates_and_defaults_the_cache_rates() -> None:
 def test_price_feed_picks_the_rate_in_effect_on_a_dated_row() -> None:
     """A promotional rate is published as two rows; taking the first would misprice runs."""
     intro = parse_anthropic(_ANTHROPIC_MD, today=date(2026, 8, 3))
-    assert intro["claude-sonnet-5"] == Rates(input=2.0, cached_input=0.2, cache_write=2.5, output=10.0)
+    assert intro["claude-sonnet-5"] == Rates(
+        input=2.0,
+        cached_input=0.2,
+        cache_write=2.5,
+        output=10.0,
+        cache_write_5m=2.5,
+        cache_write_1h=4.0,
+    )
 
     after = parse_anthropic(_ANTHROPIC_MD, today=date(2026, 9, 1))
-    assert after["claude-sonnet-5"] == Rates(input=3.0, cached_input=0.3, cache_write=3.75, output=15.0)
+    assert after["claude-sonnet-5"] == Rates(
+        input=3.0,
+        cached_input=0.3,
+        cache_write=3.75,
+        output=15.0,
+        cache_write_5m=3.75,
+        cache_write_1h=6.0,
+    )
 
     # Display names become API model IDs, and the batch table is not mistaken for the base one.
     assert intro["claude-haiku-4-5"].input == 1.0

From dedef52a19f8843b38b4780620291e6d0a05a1e2 Mon Sep 17 00:00:00 2001
From: PauBadiaM <paubim@stanford.edu>
Date: Tue, 4 Aug 2026 16:21:13 -0700
Subject: [PATCH 09/15] Use inferred costs in benchmark reports

---
 README.md                                     | 27 ++++-----
 .../_skills/data/references/benchmark.md      | 17 ++++--
 src/acumen/report.py                          | 39 ++++++++++---
 tests/test_core.py                            | 56 ++++++++++++++++++-
 4 files changed, 112 insertions(+), 27 deletions(-)

diff --git a/README.md b/README.md
index 96956b0..7afaa1d 100644
--- a/README.md
+++ b/README.md
@@ -94,11 +94,10 @@ Claude API runs use `ANTHROPIC_API_KEY`; Codex API runs use `CODEX_API_KEY` (or
 `*_model` config keys or `--model`.
 
 Every agentic command — `bench` included — takes `--auth {auto,session,api}` and defaults to
-the provider's logged-in subscription, falling back to its API key. Since `cost_usd` is
-derived from token counts, which both billing modes report, a subscription run prices exactly
-as accurately as a metered one; what changes is the meaning. Under `session`, `cost_usd` is
-what the run *would* have cost at API rates, not money billed — so each run records its
-`auth_mode` alongside the figure.
+the provider's logged-in subscription, falling back to its API key. Both billing modes report
+tokens, so Acumen can calculate the same API-rate estimate for either. Under `session`, that
+estimate is what the run *would* have cost at API rates, not money billed — so each run records
+its `auth_mode` alongside the figure.
 
 `max_turns` and `max_usd` apply to both providers, but they are not equally strict for Codex,
 which has no cap of its own — acumen enforces both against its event stream:
@@ -110,12 +109,14 @@ which has no cap of its own — acumen enforces both against its event stream:
   visible after the money is spent. The run is recorded as a budget failure — the same outcome
   Claude gives it — but bound Codex spend with `max_turns`. acumen prints this before the pass.
 
-**Cost is computed from tokens, not taken from the provider.** Only one of the two
-providers reports a billed dollar figure, so a mixed matrix would be comparing a real
-number against a zero. Every run instead records its token breakdown — fresh input, cache
-reads, cache writes, output, which are priced up to 10x apart — and `cost_usd` is derived
-from a rate table, identical arithmetic for both providers. The rates used are frozen into
-each `result.json`, so a pass benchmarked in January is not silently re-priced in July.
+**Reports compare inferred cost per run.** Every run records its token breakdown — fresh
+input, cache reads, cache writes, and output — and Acumen prices it with the frozen rate table
+stored in `result.json`. That gives Claude and Codex one comparable basis and prevents an old
+benchmark from being silently re-priced. The result itself retains both
+`provider_cost_usd` (when the backend supplies one) and `inferred_cost_usd`; its compatibility
+field `cost_usd` remains provider-first. The report's sidecar CSV calls the former
+`recorded_cost_usd` and keeps it separate from `inferred_cost_usd`, while every displayed cost
+and comparison uses the inferred value.
 
 ```bash
 acumen prices              # the rates in use, and where each came from
@@ -126,8 +127,8 @@ acumen prices --refresh    # re-check them against the providers' pricing pages
 it never rewrites anything, because picking the wrong tier or context band would silently
 misprice every future run. Adopt changes by pasting the emitted block into `config.yaml`
 under `prices:`, which is also how you price a model acumen doesn't ship a rate for, or
-override rates for a gateway. A model with no rate records its tokens and leaves `cost_usd`
-unset — never zero, which would read as free.
+override rates for a gateway. A model with no rate records its tokens and leaves inferred
+report cost unavailable — never zero, which would read as free.
 
 `draft`, `improve`, `tasks`, and `ship` each drive a long autonomous agent. Every run writes a
 live `logs/acumen-<command>-<datetime>.jsonl` (one event per step, flushed as it goes — so you
diff --git a/src/acumen/_skills/data/references/benchmark.md b/src/acumen/_skills/data/references/benchmark.md
index c47f308..94c3fbd 100644
--- a/src/acumen/_skills/data/references/benchmark.md
+++ b/src/acumen/_skills/data/references/benchmark.md
@@ -18,8 +18,8 @@ acumen bench [--no-skill | --skill v1] [--split train|test]... [--task ID]...
 - `--replicates` / `--max-concurrency` override the config for this pass only.
 - `--auth auto` (default) prefers a stored account/subscription login, then falls back to
   metered API credentials. Use `--auth session` or `--auth api` to require one explicitly.
-  Each run records the resolved mode; under `session`, `cost_usd` is the equivalent API-rate
-  cost computed from tokens, not money charged to the subscription.
+  Each run records the resolved mode; under `session`, `inferred_cost_usd` is the equivalent
+  API-rate cost computed from tokens, not money charged to the subscription.
 - Ctrl-C is safe: completed runs are preserved and the next invocation resumes.
 
 **Arm parity is the whole point.** Both arms get an identical prompt, tools, caps, and
@@ -58,9 +58,16 @@ both exist. Claude's SDK total is API-equivalent (not necessarily an invoice cha
 session authentication); Codex reports no dollars, so it uses inference. Token classes and the
 rates frozen into `price_rates` remain available for reproduction, including Claude's separate
 five-minute and one-hour cache writes plus the legacy aggregate. A model with neither provider
-cost nor rates leaves `cost_available` false and `cost_usd` null, so reports cannot mistake it
-for a free run. Inspect or re-check the rate table with `acumen prices` / `acumen prices
---refresh`, and set `prices:` in `config.yaml` to price an unlisted model.
+cost nor rates leaves `cost_available` false and `cost_usd` null. A run without rates leaves
+`inferred_cost_usd` null even when the provider supplied a value, so reports cannot mistake it
+for a free or cross-provider-comparable run. Inspect or re-check the rate table with `acumen
+prices` / `acumen prices --refresh`, and set `prices:` in `config.yaml` to price an unlisted
+model.
+
+Reports deliberately use `inferred_cost_usd` for every cost-per-run value and comparison, so
+Claude and Codex stay on the same pricing basis even when Claude supplies an SDK estimate. The
+sidecar CSV preserves the two values separately as `recorded_cost_usd` and
+`inferred_cost_usd`; `cost_usd` remains present as the provider-first compatibility field.
 
 `codex exec` has no cap of its own, so acumen enforces both from its event stream, at
 different resolutions. `max_turns` really does stop the run — counted in completed model
diff --git a/src/acumen/report.py b/src/acumen/report.py
index 6429b81..22f500b 100644
--- a/src/acumen/report.py
+++ b/src/acumen/report.py
@@ -120,6 +120,11 @@
 #: held-out (test) performance.
 _REPORTED_SPLIT = "test"
 
+# Reports compare providers on one consistent basis: the frozen price table applied to
+# token usage.  Keep this separate from ``cost_usd``, whose result-schema meaning remains
+# provider-first for backwards compatibility and auditability.
+_REPORT_COST_COLUMN = "_report_cost_usd"
+
 
 #: Brand assets bundled with the package (see ``src/acumen/assets``). Inlined as ``data:``
 #: URIs so ``report.html`` stays self-contained — the favicon and the sidebar banner
@@ -231,6 +236,10 @@ def load_results(runs_root: Path) -> pd.DataFrame:
             data = json.loads(result_path.read_text())
         except (OSError, json.JSONDecodeError) as err:
             raise ReportError(f"cannot read {result_path}: {err}") from err
+        # Legacy results predate the dual-cost schema. Their sole ``cost_usd`` value was
+        # inferred from tokens, so it is a valid fallback only when the newer field is
+        # absent (not when a modern result explicitly records inference as unavailable).
+        data["_has_inferred_cost"] = "inferred_cost_usd" in data
         data["result_path"] = result_path.resolve()
         data["transcript_path"] = (result_path.parent / TRANSCRIPT_HTML).resolve()
         rows.append(data)
@@ -245,6 +254,17 @@ def load_results(runs_root: Path) -> pd.DataFrame:
     available = df.get("cost_available", pd.Series(True, index=df.index)).fillna(True).astype(bool)
     df["cost_usd"] = pd.to_numeric(df["cost_usd"], errors="coerce")
     df.loc[~available, "cost_usd"] = math.nan
+    if "provider_cost_usd" not in df.columns:
+        df["provider_cost_usd"] = math.nan
+    else:
+        df["provider_cost_usd"] = pd.to_numeric(df["provider_cost_usd"], errors="coerce")
+    if "inferred_cost_usd" not in df.columns:
+        df["inferred_cost_usd"] = math.nan
+    else:
+        df["inferred_cost_usd"] = pd.to_numeric(df["inferred_cost_usd"], errors="coerce")
+    legacy = ~df.pop("_has_inferred_cost").astype(bool)
+    df.loc[legacy, "inferred_cost_usd"] = df.loc[legacy, "cost_usd"]
+    df[_REPORT_COST_COLUMN] = df["inferred_cost_usd"]
     df["total_tokens"] = df["input_tokens"] + df["output_tokens"]
     df["arm_label"] = df["arm"].map(arm_label)
     df["_arm_order"] = df["arm"].map(_arm_sort_key)
@@ -304,7 +324,9 @@ def arm_metrics(df: pd.DataFrame) -> pd.DataFrame:
                 "rate": rate,
                 "stderr": stderr,
                 "tokens": float(group["total_tokens"].sum()),
-                "cost": (float(group["cost_usd"].sum()) if group["cost_usd"].notna().all() else math.nan),
+                "cost": (
+                    float(group[_REPORT_COST_COLUMN].sum()) if group[_REPORT_COST_COLUMN].notna().all() else math.nan
+                ),
                 "time": float(group["duration_s"].sum()),
                 "n": len(group),
             }
@@ -345,7 +367,7 @@ def arm_metrics(df: pd.DataFrame) -> pd.DataFrame:
 _PROPORTION_KEYS = frozenset({*_PROPORTION_COLUMN, "rate_loaded"})
 
 #: Metric key → the resource column it averages (the proportions are handled separately).
-_MEAN_COLUMN = {"tokens": "total_tokens", "cost": "cost_usd", "time": "duration_s"}
+_MEAN_COLUMN = {"tokens": "total_tokens", "cost": _REPORT_COST_COLUMN, "time": "duration_s"}
 
 
 def _model_tier(model: str) -> str:
@@ -965,7 +987,8 @@ def _cluster_totals(df: pd.DataFrame, arms: Sequence[str]) -> tuple[np.ndarray,
     for ci, cluster in enumerate(clusters):
         for ai, arm in enumerate(arms):
             rows = test[(test[_CLUSTER_COLUMN] == cluster) & (test["arm"] == arm)]
-            cost[ci, ai] = rows["cost_usd"].sum() if rows["cost_usd"].notna().all() else math.nan
+            report_cost = rows[_REPORT_COST_COLUMN]
+            cost[ci, ai] = report_cost.sum() if report_cost.notna().all() else math.nan
             successes[ci, ai] = rows["success"].sum()
             runs[ci, ai] = len(rows)
     return cost, successes, runs
@@ -1421,7 +1444,7 @@ def _integrity_notes(df: pd.DataFrame) -> list[str]:
     only flagged once fewer than half its runs loaded the skill.
     """
     notes = []
-    unpriced = int(df["cost_usd"].isna().sum())
+    unpriced = int(df[_REPORT_COST_COLUMN].isna().sum())
     if unpriced:
         notes.append(
             f"cost unavailable for {unpriced}/{len(df)} runs; cost charts and comparisons omit "
@@ -1494,7 +1517,7 @@ def _runs_table_html(df: pd.DataFrame, out_dir: Path) -> str:
         "reason",
         "turns",
         "total tok",
-        "cost $",
+        "cost / run $",
         "time",
         "transcript",
     ]
@@ -1517,7 +1540,7 @@ def _runs_table_html(df: pd.DataFrame, out_dir: Path) -> str:
         else:
             link = "&mdash;"
         status = "pass" if row["success"] else "fail"
-        cost = row["cost_usd"]
+        cost = row[_REPORT_COST_COLUMN]
         cost_cell = ("&mdash;", None) if pd.isna(cost) else (f"{float(cost):.3f}", float(cost))
         cells: list[tuple[str, float | None]] = [
             (html.escape(str(row["arm_label"])), None),
@@ -2096,8 +2119,8 @@ def build_report(
     # the numbers themselves. Drop the internal helper columns (Path objects and sort
     # keys) so it stays a clean, portable table.
     data_path = out_path.with_suffix(".csv")
-    internal = [c for c in ("result_path", "transcript_path", "_arm_order") if c in df.columns]
-    data = df.drop(columns=internal)
+    internal = [c for c in ("result_path", "transcript_path", "_arm_order", _REPORT_COST_COLUMN) if c in df.columns]
+    data = df.drop(columns=internal).rename(columns={"provider_cost_usd": "recorded_cost_usd"})
     if "skill_loaded" in data.columns:
         # The HTML table keeps '?' for a run whose transcript could not be read, but the CSV
         # is for counting: every row is True or False, so summing the column means what it
diff --git a/tests/test_core.py b/tests/test_core.py
index 1144ecc..908f696 100644
--- a/tests/test_core.py
+++ b/tests/test_core.py
@@ -71,6 +71,7 @@
 from acumen.procs import label_env, reap, supported, survivors
 from acumen.prompts import draft_prompt, feedback_block, improve_prompt
 from acumen.report import (
+    _REPORT_COST_COLUMN,
     ReportError,
     _arm_marker,
     _best_cells,
@@ -84,6 +85,7 @@
     _split_diff_rows,
     _tests_table_html,
     arm_metrics,
+    build_report,
     load_results,
     loaded_only_rates,
     metrics_figure,
@@ -1712,6 +1714,58 @@ def test_unpriced_runs_are_unknown_in_reports_not_zero_cost(
         plt.close(figure)
 
 
+def test_reports_use_inferred_cost_and_csv_keeps_recorded_cost(
+    runs_root: Path, model: str, make_result, tmp_path: Path
+) -> None:
+    """Provider cost remains auditable without changing cross-provider comparisons."""
+    key = RunKey(arm="noskill", split="test", model=model, task_id="example_task", rep=1)
+    make_result(
+        runs_root,
+        key,
+        cost_usd=0.90,
+        cost_available=True,
+        cost_source="provider",
+        provider_cost_usd=0.90,
+        inferred_cost_usd=0.20,
+    )
+
+    df = load_results(runs_root)
+    test = df[df["split"] == "test"]
+    assert test.iloc[0]["cost_usd"] == pytest.approx(0.90)
+    assert test.iloc[0][_REPORT_COST_COLUMN] == pytest.approx(0.20)
+    assert arm_metrics(test).loc[0, "cost"] == pytest.approx(0.20)
+    assert "0.200" in _runs_table_html(test, tmp_path)
+    assert "0.900" not in _runs_table_html(test, tmp_path)
+
+    out_path = tmp_path / "results.html"
+    build_report(runs_root, out_path)
+    exported = pd.read_csv(out_path.with_suffix(".csv"))
+    test_row = exported[exported["split"] == "test"].iloc[0]
+    assert test_row["recorded_cost_usd"] == pytest.approx(0.90)
+    assert test_row["inferred_cost_usd"] == pytest.approx(0.20)
+    assert "provider_cost_usd" not in exported.columns
+    assert _REPORT_COST_COLUMN not in exported.columns
+
+
+def test_modern_result_without_inferred_cost_stays_unpriced_in_report(runs_root: Path, model: str, make_result) -> None:
+    """A recorded provider estimate must never substitute for missing inference."""
+    key = RunKey(arm="noskill", split="test", model=model, task_id="example_task", rep=1)
+    make_result(
+        runs_root,
+        key,
+        cost_usd=0.90,
+        cost_available=True,
+        cost_source="provider",
+        provider_cost_usd=0.90,
+        inferred_cost_usd=None,
+    )
+
+    test = load_results(runs_root).query("split == 'test'")
+    assert test.iloc[0]["cost_usd"] == pytest.approx(0.90)
+    assert pd.isna(test.iloc[0][_REPORT_COST_COLUMN])
+    assert pd.isna(arm_metrics(test).loc[0, "cost"])
+
+
 # --- the cost/success trade-off figure --------------------------------------------------
 
 #: The two markers matplotlib gives an error bar's caps; neither is a data point.
@@ -2140,7 +2194,7 @@ def test_runs_table_marks_every_column_sortable_but_the_transcript_link(runs_roo
     sortable = {text for attrs, text in headings if "data-sortable" in attrs}
     inert = {text for attrs, text in headings if "data-sortable" not in attrs}
     assert inert == {"transcript"}
-    assert "cost $" in sortable and "total tok" in sortable
+    assert "cost / run $" in sortable and "total tok" in sortable
 
 
 def test_runs_table_sorts_formatted_numbers_by_their_value(

From 2c89e44462d38c6d4356f72089433df1aac1bf4f Mon Sep 17 00:00:00 2001
From: PauBadiaM <paubim@stanford.edu>
Date: Tue, 4 Aug 2026 16:30:31 -0700
Subject: [PATCH 10/15] ci: install agent CLIs for tests

---
 .github/workflows/test.yaml | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/.github/workflows/test.yaml b/.github/workflows/test.yaml
index f292f95..56e8223 100644
--- a/.github/workflows/test.yaml
+++ b/.github/workflows/test.yaml
@@ -65,10 +65,16 @@ jobs:
         with:
           filter: blob:none
           fetch-depth: 0
+      - name: Set up Node.js
+        uses: actions/setup-node@v6
+        with:
+          node-version: 22
       - name: Install uv
         uses: astral-sh/setup-uv@v7
         with:
           python-version: ${{ matrix.env.python }}
+      - name: Install agent CLIs
+        run: npm install --global @anthropic-ai/claude-code @openai/codex
       - name: create hatch environment
         run: uvx hatch env create ${{ matrix.env.name }}
       - name: list all all installed package versions

From be5246dfe43731d06bf599292acdf2061714ff66 Mon Sep 17 00:00:00 2001
From: PauBadiaM <paubim@stanford.edu>
Date: Tue, 4 Aug 2026 17:01:39 -0700
Subject: [PATCH 11/15] Invalidate benchmark passes on provider quota
 exhaustion

Provider usage or credit running out is an infrastructure failure, not
evidence about the model, so it must not be scored as an agent failure.

Runs that hit provider exhaustion get reason `provider_exhausted` and a
`valid: false` result. The pass cancels only that provider's remaining
cells, lets other providers finish their running and queued work, and
exits non-zero. Invalid cells stay pending, so replenishing the
credential and rerunning the same command retries them without
`--no-resume`. Reports and `improve` refuse invalid evidence outright.

Both adapters now preserve provider stderr on failure so the runner can
classify exhaustion from the actual provider error text.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
---
 CHANGELOG.md                                  |   5 +
 README.md                                     |   7 +
 docs/api.md                                   |   1 +
 src/acumen/__init__.py                        |   3 +-
 src/acumen/_skills/data/SKILL.md              |   8 +-
 .../_skills/data/references/benchmark.md      |   9 +-
 src/acumen/agents.py                          |  35 ++-
 src/acumen/bench.py                           |  76 +++++-
 src/acumen/cli.py                             |  47 ++--
 src/acumen/grade.py                           |  11 +-
 src/acumen/improve.py                         |   5 +
 src/acumen/paths.py                           |  13 +-
 src/acumen/report.py                          |  11 +
 src/acumen/runner.py                          |  52 +++-
 tests/test_cli.py                             |  61 +++++
 tests/test_core.py                            | 232 +++++++++++++++++-
 16 files changed, 530 insertions(+), 46 deletions(-)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index 5bdaa4a..06e0cf8 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -38,6 +38,11 @@ and this project adheres to [Semantic Versioning][].
   metered billing; cost is now derived from token counts, which a subscription run reports
   just as fully. `result.json` records the run's `auth_mode`, since under `session` the figure
   is what the run would have cost at API rates rather than metered spend.
+- Treat exhausted provider subscription usage and API credit as benchmark-invalid
+  infrastructure failures: print the provider error, cancel only that provider's remaining
+  cells while other providers finish, exit non-zero, and refuse to report or improve from the
+  invalid evidence. Resuming automatically retries the invalid and cancelled cells after the
+  credential is replenished.
 
 ### Fixed
 
diff --git a/README.md b/README.md
index 7afaa1d..4606439 100644
--- a/README.md
+++ b/README.md
@@ -99,6 +99,13 @@ tokens, so Acumen can calculate the same API-rate estimate for either. Under `se
 estimate is what the run *would* have cost at API rates, not money billed — so each run records
 its `auth_mode` alongside the figure.
 
+If the selected subscription runs out of usage or the API account runs out of credit, Acumen
+invalidates the pass instead of scoring that as an agent failure: it prints the provider error,
+cancels remaining cells for that provider, lets other providers finish all running and queued
+cells, and exits non-zero. Replenish the credential and rerun the same command; automatic resume
+retries the invalid and cancelled cells. Reports and `improve` refuse invalid quota/credit
+evidence.
+
 `max_turns` and `max_usd` apply to both providers, but they are not equally strict for Codex,
 which has no cap of its own — acumen enforces both against its event stream:
 
diff --git a/docs/api.md b/docs/api.md
index 0535ead..15f6ca3 100644
--- a/docs/api.md
+++ b/docs/api.md
@@ -81,6 +81,7 @@ so `from acumen import build_report` works.
     :toctree: generated
 
     PlannedRun
+    BenchmarkInvalidError
     build_matrix
     pending
     run_matrix
diff --git a/src/acumen/__init__.py b/src/acumen/__init__.py
index f6da375..1c886bf 100644
--- a/src/acumen/__init__.py
+++ b/src/acumen/__init__.py
@@ -12,7 +12,7 @@
     provider_for_model,
     run_agent,
 )
-from acumen.bench import PlannedRun, build_matrix, pending, run_matrix, summarize
+from acumen.bench import BenchmarkInvalidError, PlannedRun, build_matrix, pending, run_matrix, summarize
 from acumen.config import Config, ConfigError, load_config, parse_config
 from acumen.draft import DraftError, DraftResult, draft_skill
 from acumen.env import (
@@ -87,6 +87,7 @@
     "AgentOptions",
     "AgentProvider",
     "AgentResult",
+    "BenchmarkInvalidError",
     "Config",
     "ConfigError",
     "DraftError",
diff --git a/src/acumen/_skills/data/SKILL.md b/src/acumen/_skills/data/SKILL.md
index 1228e2b..880cb39 100644
--- a/src/acumen/_skills/data/SKILL.md
+++ b/src/acumen/_skills/data/SKILL.md
@@ -115,9 +115,11 @@ a command.
    train/test gap in the report is the overfitting signal you are watching for.
 8. **Task prompts must not name the target package** — the harness already tells the agent
    which package to use and that it is installed.
-9. **Resume is automatic**: a run is "complete" when its `result.json` exists and is
-   non-empty, and completed runs are skipped. `--no-resume` re-runs them. Renaming a task
-   `id` orphans its old runs (the id is a path component).
+9. **Resume is automatic**: a valid run is "complete" when its `result.json` exists and is
+   non-empty, and completed runs are skipped. `--no-resume` re-runs them. Provider usage/credit
+   exhaustion writes a diagnostic `valid: false` result, cancels only that provider's remaining
+   cells while other providers finish, and remains pending; replenish the credential and rerun
+   the same command. Renaming a task `id` orphans its old runs (the id is a path component).
 10. **Confirm the skill actually loaded.** `bench` prints `skill loaded in N/M runs` from
     per-run `skill_loaded` evidence, and warns when a skill arm never fired the Skill tool
     (that arm measures nothing) or when the baseline did.
diff --git a/src/acumen/_skills/data/references/benchmark.md b/src/acumen/_skills/data/references/benchmark.md
index 94c3fbd..2301913 100644
--- a/src/acumen/_skills/data/references/benchmark.md
+++ b/src/acumen/_skills/data/references/benchmark.md
@@ -21,6 +21,12 @@ acumen bench [--no-skill | --skill v1] [--split train|test]... [--task ID]...
   Each run records the resolved mode; under `session`, `inferred_cost_usd` is the equivalent
   API-rate cost computed from tokens, not money charged to the subscription.
 - Ctrl-C is safe: completed runs are preserved and the next invocation resumes.
+- Provider account/session usage exhaustion or an API account without credit invalidates the
+  pass rather than counting against the agent. Acumen prints the provider error, cancels the
+  remaining cells for that provider, lets every other provider finish its running and queued
+  cells, exits non-zero, and records the triggering cell as `valid: false` for diagnosis.
+  Reports and `improve` refuse that evidence; after replenishing the credential, rerun the same
+  command and automatic resume retries invalid and cancelled cells.
 
 **Arm parity is the whole point.** Both arms get an identical prompt, tools, caps, and
 environment; the only difference is that a skill arm copies the skill's content files into
@@ -50,7 +56,7 @@ holds five files:
 `result.json` presence + non-zero size is what marks a run complete, which is what makes
 resume safe. Useful fields: `success`, `reason`, `answer`, `expected`, `model`, `turns`,
 `cost_usd`, `input_tokens`, `output_tokens`, `duration_s`, `skill_hash`, `skill_name`,
-`skill_loaded`, `pkg_version`, `commit`, `session_id`, `subtype`, `error`.
+`skill_loaded`, `pkg_version`, `commit`, `session_id`, `subtype`, `valid`, `error`.
 
 **`cost_usd` prefers the provider's value and falls back to token inference.** Each run records
 `provider_cost_usd`, `inferred_cost_usd`, `cost_source`, and the absolute/relative delta when
@@ -87,6 +93,7 @@ Codex run is stopped mid-turn and so records no usage — a failure with zero to
 | `no_answer_file` | The agent never wrote `answer.md` |
 | `budget` / `max_turns` | Cap breached — a **failure regardless** of what `answer.md` contains |
 | `error` | The agent crashed or produced no result |
+| `provider_exhausted` | Provider usage/credit ran out; infrastructure-invalid, never agent evidence |
 
 A run of `format_error`s means the harness's answer-format instruction is losing to the
 task prompt; a run of `no_answer_file` usually means the task is too big for `max_turns`.
diff --git a/src/acumen/agents.py b/src/acumen/agents.py
index fd22c31..07f5a96 100644
--- a/src/acumen/agents.py
+++ b/src/acumen/agents.py
@@ -22,7 +22,7 @@
 import sys
 import time
 from collections.abc import Callable, Sequence
-from dataclasses import dataclass, field
+from dataclasses import dataclass, field, replace
 from pathlib import Path
 from typing import TYPE_CHECKING, Any, Literal
 
@@ -264,11 +264,29 @@ async def _run_claude(
     from claude_agent_sdk import ResultMessage, query
 
     result: ResultMessage | None = None
-    async for message in query(prompt=prompt, options=_claude_options(options)):
-        if on_event is not None:
-            on_event(message)
-        if isinstance(message, ResultMessage):
-            result = message
+    noise: list[str] = []
+
+    def capture_stderr(line: str) -> None:
+        noise.append(line)
+        if options.stderr is not None:
+            options.stderr(line)
+        else:
+            print(line, file=sys.stderr, flush=True)
+
+    try:
+        async for message in query(prompt=prompt, options=_claude_options(replace(options, stderr=capture_stderr))):
+            if on_event is not None:
+                on_event(message)
+            if isinstance(message, ResultMessage):
+                result = message
+    except Exception as err:
+        # SDK connection/process exceptions can be generic while the actionable quota or
+        # billing message was emitted only on stderr. Preserve it so the benchmark runner can
+        # classify infrastructure exhaustion instead of blaming the agent.
+        detail = "\n".join(line.strip() for line in noise if line.strip())
+        if detail:
+            raise AgentError(f"{err}\nClaude stderr:\n{detail}") from err
+        raise
     if result is None:
         raise AgentError("the Claude agent produced no result message")
     return _from_claude(result)
@@ -514,6 +532,7 @@ def _codex_terminal(
     duration_ms: int,
     capped: str | None = None,
     sandbox_failure: str | None = None,
+    stderr_lines: Sequence[str] = (),
 ) -> AgentResult:
     session_id: str | None = None
     final = ""
@@ -564,6 +583,8 @@ def _codex_terminal(
         )
     else:
         is_error = returncode != 0 or bool(errors)
+        if returncode != 0:
+            errors.extend(line.strip() for line in stderr_lines if line.strip() and line.strip() not in errors)
         if returncode != 0 and not errors:
             errors.append(f"codex exited with status {returncode}")
     return AgentResult(
@@ -671,7 +692,7 @@ async def _run_codex(
         stderr_task.cancel()
         raise
     duration_ms = round((time.monotonic() - started) * 1000)
-    return _codex_terminal(events, returncode, duration_ms, capped, _sandbox_failure(noise))
+    return _codex_terminal(events, returncode, duration_ms, capped, _sandbox_failure(noise), noise)
 
 
 async def run_agent(
diff --git a/src/acumen/bench.py b/src/acumen/bench.py
index 9c4837e..2fe6235 100644
--- a/src/acumen/bench.py
+++ b/src/acumen/bench.py
@@ -28,6 +28,30 @@ class PlannedRun:
     max_usd: float
 
 
+class BenchmarkInvalidError(RuntimeError):
+    """Raised when provider quota/credit exhaustion invalidates a benchmark pass."""
+
+    def __init__(self, outcomes: RunOutcome | Sequence[RunOutcome]):
+        values = (outcomes,) if isinstance(outcomes, RunOutcome) else tuple(outcomes)
+        if not values:
+            raise ValueError("BenchmarkInvalidError needs at least one invalid outcome")
+        self.outcome = values[0]
+        self.outcomes = values
+        details: list[str] = []
+        for outcome in values:
+            payload = outcome.payload
+            provider = "Claude" if payload.get("agent") == "claude" else "Codex"
+            mode = payload.get("auth_mode", "selected")
+            detail = payload.get("error") or "the provider reported exhausted usage or credit"
+            details.append(
+                f"{provider} {mode} authentication ran out of usage or credit during "
+                f"{outcome.key.arm}/{outcome.key.split}/{outcome.key.model}/"
+                f"{outcome.key.task_id}/rep_{outcome.key.rep}. Remaining {provider} cells were "
+                f"cancelled; other providers continued. Provider error: {detail}"
+            )
+        super().__init__("benchmark invalid: " + " | ".join(details))
+
+
 def models_for(cfg: Config, task: Task) -> list[str]:
     """Return the models a task runs on — its own override, else the config's list."""
     return [task.model] if task.model else list(cfg.models)
@@ -121,8 +145,10 @@ async def run_matrix(
 ) -> list[RunOutcome]:
     """Run planned runs concurrently, bounded by ``max_concurrency``.
 
-    One failing run never takes down the pass — :func:`acumen.runner.run_once` records
-    agent errors as failed runs rather than raising.
+    Ordinary failing runs do not take down the pass. Provider quota/credit exhaustion is
+    different: it invalidates that provider's measurement, cancels only its remaining work,
+    lets other providers finish their queued cells, then raises :class:`BenchmarkInvalidError`
+    after preserving the diagnostic result.
 
     Parameters
     ----------
@@ -169,9 +195,17 @@ async def run_matrix(
     """
     semaphore = asyncio.Semaphore(max_concurrency)
     outcomes: list[RunOutcome] = []
+    exhausted: dict[AgentProvider, RunOutcome] = {}
+    tasks: list[asyncio.Task[RunOutcome | None]] = []
+    task_providers: dict[asyncio.Task[RunOutcome | None], AgentProvider] = {}
 
-    async def one(item: PlannedRun) -> RunOutcome:
+    async def one(item: PlannedRun) -> RunOutcome | None:
+        provider = provider_for_model(item.model)
         async with semaphore:
+            # A sibling cell may have exhausted this provider while this one waited for a
+            # concurrency slot. Do not submit fresh work to a credential known to be empty.
+            if provider in exhausted:
+                return None
             if on_start is not None:
                 on_start(item)
             outcome = await run_once(
@@ -182,7 +216,7 @@ async def one(item: PlannedRun) -> RunOutcome:
                 model=item.model,
                 max_turns=item.max_turns,
                 max_usd=item.max_usd,
-                auth_mode=(auth_modes or {}).get(provider_for_model(item.model), auth_mode),
+                auth_mode=(auth_modes or {}).get(provider, auth_mode),
                 skill=skill,
                 skill_name=skill_name,
                 sandbox_base=sandbox_base,
@@ -193,10 +227,40 @@ async def one(item: PlannedRun) -> RunOutcome:
             )
             if on_done is not None:
                 on_done(outcome)
+            if outcome.reason == "provider_exhausted" and provider not in exhausted:
+                exhausted[provider] = outcome
+                current = asyncio.current_task()
+                # Stop both queued and in-flight siblings for this provider. Tasks for the
+                # other provider retain their places in the shared concurrency pool.
+                for peer in tasks:
+                    if peer is not current and task_providers.get(peer) == provider and not peer.done():
+                        peer.cancel()
             return outcome
 
-    for coro in asyncio.as_completed([one(item) for item in planned]):
-        outcomes.append(await coro)
+    for item in planned:
+        task = asyncio.create_task(one(item))
+        tasks.append(task)
+        task_providers[task] = provider_for_model(item.model)
+    try:
+        remaining = set(tasks)
+        while remaining:
+            done, remaining = await asyncio.wait(remaining, return_when=asyncio.FIRST_COMPLETED)
+            for task in done:
+                if task.cancelled():
+                    continue
+                outcome = task.result()  # propagate unexpected per-cell harness exceptions
+                if outcome is not None:
+                    outcomes.append(outcome)
+    except BaseException:
+        # External cancellation or an unexpected harness exception still stops everything;
+        # provider exhaustion itself is handled above at provider scope.
+        for task in tasks:
+            if not task.done():
+                task.cancel()
+        await asyncio.gather(*tasks, return_exceptions=True)
+        raise
+    if exhausted:
+        raise BenchmarkInvalidError(tuple(exhausted.values()))
     return outcomes
 
 
diff --git a/src/acumen/cli.py b/src/acumen/cli.py
index b662db6..55c1cde 100644
--- a/src/acumen/cli.py
+++ b/src/acumen/cli.py
@@ -11,7 +11,7 @@
 from pathlib import Path
 
 from acumen.agents import AgentError, AgentProvider, check_agent_cli, provider_for_model
-from acumen.bench import build_matrix, pending, run_matrix, summarize
+from acumen.bench import BenchmarkInvalidError, build_matrix, pending, run_matrix, summarize
 from acumen.config import ConfigError, load_config
 from acumen.draft import DraftError, draft_skill
 from acumen.env import DEFAULT_CACHE_ROOT, AuthMode, EnvError, prepare_target, resolve_auth_mode
@@ -191,7 +191,7 @@ def on_done(self, outcome: RunOutcome) -> None:
         self.running -= 1
         if outcome.success:
             self.passed += 1
-        mark = "✓ pass" if outcome.success else "✗ FAIL"
+        mark = "⚠ INVALID" if outcome.reason == "provider_exhausted" else ("✓ pass" if outcome.success else "✗ FAIL")
         p = outcome.payload
         toks = int(p.get("input_tokens", 0)) + int(p.get("output_tokens", 0))
         dur = _fmt_secs(float(p.get("duration_s", 0.0)))
@@ -204,6 +204,8 @@ def on_done(self, outcome: RunOutcome) -> None:
             f"  [{self.done}/{self.total} done, {self.passed} passed]",
             flush=True,
         )
+        if outcome.reason == "provider_exhausted":
+            print(f"error: provider usage/credit exhausted: {p.get('error') or 'no provider detail'}", file=sys.stderr)
 
 
 def _fmt_tokens(value: int) -> str:
@@ -268,23 +270,32 @@ def _cmd_bench(args: argparse.Namespace) -> int:
 
     print(f"running {len(todo)} runs, up to {cfg.max_concurrency} at a time:", flush=True)
     progress = _Progress(len(todo))
-    outcomes = asyncio.run(
-        run_matrix(
-            todo,
-            target=target,
-            runs_root=args.runs,
-            max_concurrency=cfg.max_concurrency,
-            auth_modes=auth_modes,
-            skill=skill,
-            skill_name=cfg.skill_name,
-            keep_sandbox=args.keep_sandboxes,
-            stderr=StderrFilter(),
-            on_start=progress.on_start,
-            on_done=progress.on_done,
-            env_passthrough=cfg.env_passthrough,
-            price_overrides=cfg.prices,
+    try:
+        outcomes = asyncio.run(
+            run_matrix(
+                todo,
+                target=target,
+                runs_root=args.runs,
+                max_concurrency=cfg.max_concurrency,
+                auth_modes=auth_modes,
+                skill=skill,
+                skill_name=cfg.skill_name,
+                keep_sandbox=args.keep_sandboxes,
+                stderr=StderrFilter(),
+                on_start=progress.on_start,
+                on_done=progress.on_done,
+                env_passthrough=cfg.env_passthrough,
+                price_overrides=cfg.prices,
+            )
         )
-    )
+    except BenchmarkInvalidError as err:
+        print(f"\nerror: {err}", file=sys.stderr)
+        print(
+            "Fix or replenish that credential, then rerun the same command; invalid and "
+            "cancelled cells remain pending.",
+            file=sys.stderr,
+        )
+        return 2
 
     passed = sum(1 for o in outcomes if o.success)
     counts = summarize(outcomes)
diff --git a/src/acumen/grade.py b/src/acumen/grade.py
index a5336fa..0a7cc24 100644
--- a/src/acumen/grade.py
+++ b/src/acumen/grade.py
@@ -16,7 +16,16 @@
 
 from acumen.paths import ANSWER_FILE
 
-Reason = Literal["ok", "wrong_answer", "format_error", "no_answer_file", "budget", "max_turns", "error"]
+Reason = Literal[
+    "ok",
+    "wrong_answer",
+    "format_error",
+    "no_answer_file",
+    "budget",
+    "max_turns",
+    "error",
+    "provider_exhausted",
+]
 
 _FENCE_RE = re.compile(r"^\s*```[^\n]*\n(?P<body>.*?)\n?\s*```\s*$", re.DOTALL)
 _HEADER_LINE_RE = re.compile(r"^\s*#+\s")
diff --git a/src/acumen/improve.py b/src/acumen/improve.py
index 932f8ba..6215980 100644
--- a/src/acumen/improve.py
+++ b/src/acumen/improve.py
@@ -147,6 +147,11 @@ def collect_train_runs(runs_root: Path, arm: str, tasks: list[Task]) -> list[Tra
             data = json.loads(result_path.read_text())
         except (OSError, ValueError) as err:
             raise ImproveError(f"cannot read {result_path}: {err}") from err
+        if data.get("valid", True) is False:
+            raise ImproveError(
+                "cannot improve from an infrastructure-invalid benchmark result: "
+                f"{result_path}. Replenish the provider credential and resume the benchmark first."
+            )
         key = parse_run_dir(runs_root, result_path.parent)
         task = by_id.get(key.task_id)
         if task is None:
diff --git a/src/acumen/paths.py b/src/acumen/paths.py
index 263d1a8..89ab440 100644
--- a/src/acumen/paths.py
+++ b/src/acumen/paths.py
@@ -7,6 +7,7 @@
 
 from __future__ import annotations
 
+import json
 import re
 from dataclasses import dataclass
 from pathlib import Path
@@ -154,11 +155,15 @@ def parse_run_dir(runs_root: Path, path: Path) -> RunKey:
 def is_complete(directory: Path) -> bool:
     """Return whether a run directory holds a complete run.
 
-    A readable ``result.json`` is what marks a run done — this is the check that makes
-    resuming a pass work.
+    A readable ``result.json`` is what normally marks a run done. Infrastructure-invalid
+    results explicitly carry ``valid: false`` and remain pending, so fixing the provider
+    quota and rerunning retries them without requiring ``--no-resume``.
     """
     result = directory / RESULT_FILE
     try:
-        return result.is_file() and result.stat().st_size > 0
-    except OSError:
+        if not result.is_file() or result.stat().st_size == 0:
+            return False
+        data = json.loads(result.read_text())
+        return isinstance(data, dict) and data.get("valid", True) is not False
+    except (OSError, ValueError):
         return False
diff --git a/src/acumen/report.py b/src/acumen/report.py
index 22f500b..951c073 100644
--- a/src/acumen/report.py
+++ b/src/acumen/report.py
@@ -231,11 +231,15 @@ def load_results(runs_root: Path) -> pd.DataFrame:
         raise ReportError(f"no runs directory: {runs_root}")
 
     rows: list[dict] = []
+    invalid: list[Path] = []
     for result_path in sorted(runs_root.rglob(RESULT_FILE)):
         try:
             data = json.loads(result_path.read_text())
         except (OSError, json.JSONDecodeError) as err:
             raise ReportError(f"cannot read {result_path}: {err}") from err
+        if data.get("valid", True) is False:
+            invalid.append(result_path)
+            continue
         # Legacy results predate the dual-cost schema. Their sole ``cost_usd`` value was
         # inferred from tokens, so it is a valid fallback only when the newer field is
         # absent (not when a modern result explicitly records inference as unavailable).
@@ -244,6 +248,13 @@ def load_results(runs_root: Path) -> pd.DataFrame:
         data["transcript_path"] = (result_path.parent / TRANSCRIPT_HTML).resolve()
         rows.append(data)
 
+    if invalid:
+        sample = ", ".join(str(path) for path in invalid[:3])
+        more = f" (+{len(invalid) - 3} more)" if len(invalid) > 3 else ""
+        raise ReportError(
+            "benchmark contains infrastructure-invalid provider quota/credit result(s); "
+            f"replenish the credential and resume the benchmark before reporting: {sample}{more}"
+        )
     if not rows:
         raise ReportError(f"no {RESULT_FILE} files under {runs_root} — run `acumen bench` first")
 
diff --git a/src/acumen/runner.py b/src/acumen/runner.py
index 2802393..472b8c1 100644
--- a/src/acumen/runner.py
+++ b/src/acumen/runner.py
@@ -39,6 +39,29 @@
     "error_max_turns": "max_turns",
 }
 
+# Provider/account exhaustion is a failure of the benchmark infrastructure, not evidence
+# about the model. Keep these deliberately narrower than generic 429/rate-limit wording:
+# transient throttling is not proof that the account has no remaining usage or credit.
+_PROVIDER_EXHAUSTION_MARKERS = (
+    "usage limit",
+    "usage_limit",
+    "hit your limit",
+    "quota exceeded",
+    "quota_exceeded",
+    "exceeded your current quota",
+    "insufficient_quota",
+    "billing_hard_limit",
+    "credit balance",
+    "out of credits",
+    "no credits remaining",
+    "credits are exhausted",
+    "purchase more credits",
+    "payment required",
+    "spending limit",
+    "spend limit",
+    "token quota",
+)
+
 
 @dataclass(frozen=True)
 class RunOutcome:
@@ -68,6 +91,25 @@ def _terminal_reason(message: AgentResult) -> Reason | None:
     return None
 
 
+def _provider_exhaustion_error(message: AgentResult | None, error: str | None = None) -> str | None:
+    """Return provider quota/credit evidence, excluding Acumen's intentional caps.
+
+    Both adapters preserve provider error text, but their subtype vocabularies differ and
+    change over time. Matching the stable billing/quota concepts keeps the classification
+    provider-neutral while avoiding a false match on ordinary transient rate limiting.
+    """
+    if message is not None and (message.subtype or "").lower() in _SUBTYPE_REASONS:
+        return None
+    parts = [error or ""]
+    if message is not None:
+        parts.extend([message.subtype or "", *(message.errors or [])])
+    detail = "\n".join(str(part) for part in parts if part).strip()
+    lowered = detail.lower()
+    if any(marker in lowered for marker in _PROVIDER_EXHAUSTION_MARKERS):
+        return detail
+    return None
+
+
 def _find_transcript(box: Sandbox, session_id: str) -> Path | None:
     return locate_transcript(box.config_dir, box.root, session_id)
 
@@ -316,7 +358,10 @@ async def run_once(
             skill_loaded = _skill_fired(run_dir / TRANSCRIPT_JSONL, expected_skill, provider=provider)
 
     grade: Grade = grade_run(run_dir, split.answer)
-    if error is not None or result is None:
+    exhaustion = _provider_exhaustion_error(result, error)
+    if exhaustion is not None:
+        success, reason = False, "provider_exhausted"
+    elif error is not None or result is None:
         success, reason = False, "error"
     else:
         terminal = _terminal_reason(result)
@@ -349,6 +394,9 @@ async def run_once(
         "rep": key.rep,
         "success": success,
         "reason": reason,
+        # Provider quota/credit exhaustion invalidates the measurement. Keeping a diagnostic
+        # result is useful, but reports and resume must never treat it as benchmark evidence.
+        "valid": reason != "provider_exhausted",
         "turns": result.num_turns if result else 0,
         "cost_usd": cost.cost_usd,
         "cost_available": cost.available,
@@ -378,7 +426,7 @@ async def run_once(
         "stop_reason": result.stop_reason if result else None,
         "subtype": result.subtype if result else None,
         "transcript_html": rendered,
-        "error": error or (result.errors if result else None),
+        "error": exhaustion or error or (result.errors if result else None),
     }
     (run_dir / RESULT_FILE).write_text(json.dumps(payload, indent=2) + "\n")
     return RunOutcome(key=key, success=success, reason=reason, payload=payload)
diff --git a/tests/test_cli.py b/tests/test_cli.py
index 299fbf1..1117155 100644
--- a/tests/test_cli.py
+++ b/tests/test_cli.py
@@ -13,8 +13,10 @@
 
 import pytest
 
+from acumen.bench import BenchmarkInvalidError
 from acumen.cli import _Progress, build_parser, main
 from acumen.config import load_config
+from acumen.env import Target
 from acumen.paths import RunKey
 from acumen.prices import RATES_AS_OF
 from acumen.runner import RunOutcome
@@ -63,6 +65,30 @@ def test_progress_prints_unavailable_cost_without_casting_null(capsys: pytest.Ca
     assert "cost n/a" in capsys.readouterr().out
 
 
+def test_progress_prints_provider_exhaustion_as_invalid(capsys: pytest.CaptureFixture[str], model: str) -> None:
+    progress = _Progress(1)
+    progress.running = 1
+    progress.on_done(
+        RunOutcome(
+            key=RunKey(arm="noskill", split="test", model=model, task_id="task", rep=1),
+            success=False,
+            reason="provider_exhausted",
+            payload={
+                "input_tokens": 0,
+                "output_tokens": 0,
+                "cost_usd": None,
+                "cost_available": False,
+                "duration_s": 0.1,
+                "error": "usage limit reached",
+            },
+        )
+    )
+
+    captured = capsys.readouterr()
+    assert "INVALID" in captured.out and "FAIL" not in captured.out
+    assert "usage limit reached" in captured.err
+
+
 def test_init_writes_files_the_loaders_accept(tmp_path: Path, capsys: pytest.CaptureFixture) -> None:
     assert main(["init", "--dir", str(tmp_path)]) == 0
 
@@ -163,6 +189,41 @@ def test_bench_reports_a_missing_config(tmp_path: Path, capsys: pytest.CaptureFi
     assert "error:" in capsys.readouterr().err
 
 
+def test_bench_exits_nonzero_and_prints_provider_exhaustion(
+    project: Path, model: str, monkeypatch: pytest.MonkeyPatch, capsys: pytest.CaptureFixture
+) -> None:
+    key = RunKey(arm="noskill", split="test", model=model, task_id="example_task", rep=1)
+    outcome = RunOutcome(
+        key=key,
+        success=False,
+        reason="provider_exhausted",
+        payload={"agent": "claude", "auth_mode": "session", "error": "You've hit your usage limit"},
+    )
+
+    async def invalid_matrix(*_args: object, **_kwargs: object) -> list[RunOutcome]:
+        raise BenchmarkInvalidError(outcome)
+
+    target = Target(
+        source="target",
+        ref="main",
+        src_dir=project / "src",
+        venv_dir=project / "venv",
+        commit="abc",
+        pkg_name="target",
+        pkg_version="1",
+    )
+    monkeypatch.setattr("acumen.cli.resolve_auth_mode", lambda *_args, **_kwargs: "session")
+    monkeypatch.setattr("acumen.cli.check_agent_cli", lambda *_args, **_kwargs: None)
+    monkeypatch.setattr("acumen.cli.prepare_target", lambda *_args, **_kwargs: target)
+    monkeypatch.setattr("acumen.cli.run_matrix", invalid_matrix)
+
+    assert main(bench_args(project)) == 2
+    err = capsys.readouterr().err
+    assert "benchmark invalid" in err
+    assert "You've hit your usage limit" in err
+    assert "invalid and cancelled cells remain pending" in err
+
+
 def test_report_writes_html_and_csv(project: Path, runs_root: Path, capsys: pytest.CaptureFixture) -> None:
     out_path = project / "report.html"
     exit_code = main(
diff --git a/tests/test_core.py b/tests/test_core.py
index 908f696..361a7f7 100644
--- a/tests/test_core.py
+++ b/tests/test_core.py
@@ -38,7 +38,7 @@
     provider_for_model,
     run_agent,
 )
-from acumen.bench import build_matrix, pending
+from acumen.bench import BenchmarkInvalidError, PlannedRun, build_matrix, pending, run_matrix
 from acumen.config import Config, ConfigError, derive_skill_name, load_config, parse_config
 from acumen.env import (
     AUTH_ENV_VARS,
@@ -53,7 +53,7 @@
     session_auth_available,
 )
 from acumen.grade import grade_answer, grade_run
-from acumen.improve import _write_material, collect_train_runs, load_rates
+from acumen.improve import ImproveError, _write_material, collect_train_runs, load_rates
 from acumen.logs import LiveLog
 from acumen.paths import RunKey, arm_name, is_complete, parse_run_dir, run_dir
 from acumen.pricefeed import PriceFeedError, diff_rates, parse_anthropic, parse_openai
@@ -93,7 +93,7 @@
     skill_tests,
     tradeoff_figure,
 )
-from acumen.runner import StderrFilter, _skill_fired, _terminal_reason, run_once
+from acumen.runner import RunOutcome, StderrFilter, _provider_exhaustion_error, _skill_fired, _terminal_reason, run_once
 from acumen.sandbox import Sandbox
 from acumen.ship import _ship_env
 from acumen.skills import SkillError, load_skill, read_meta, skill_hash, write_meta
@@ -146,6 +146,9 @@ def test_is_complete_needs_a_result_file(tmp_path: Path) -> None:
     (tmp_path / "result.json").write_text("{}")
     assert is_complete(tmp_path)
 
+    (tmp_path / "result.json").write_text('{"valid": false}')
+    assert not is_complete(tmp_path)
+
 
 # --- config / tasks --------------------------------------------------------------------
 
@@ -627,6 +630,213 @@ def test_codex_cap_subtypes_map_onto_the_same_reasons_as_claude(subtype: str, re
     assert _terminal_reason(result) == reason
 
 
+@pytest.mark.parametrize(
+    "detail",
+    [
+        "You've hit your usage limit · resets at 5pm",
+        "insufficient_quota: exceeded your current quota",
+        "Your credit balance is too low to access the Anthropic API",
+        "HTTP 402 payment required; purchase more credits",
+    ],
+)
+def test_provider_quota_and_credit_exhaustion_is_infrastructure_invalid(detail: str) -> None:
+    result = AgentResult(
+        provider="codex",
+        is_error=True,
+        subtype="turn.failed",
+        errors=[detail],
+        session_id=None,
+        result="",
+        num_turns=0,
+        total_cost_usd=None,
+        duration_ms=1,
+        usage={},
+    )
+    assert _provider_exhaustion_error(result) is not None
+
+
+def test_transient_rate_limit_and_acumen_caps_are_not_provider_exhaustion() -> None:
+    throttled = AgentResult(
+        provider="claude",
+        is_error=True,
+        subtype="error",
+        errors=["429 rate limit exceeded; retry after 2 seconds"],
+        session_id=None,
+        result="",
+        num_turns=0,
+        total_cost_usd=None,
+        duration_ms=1,
+        usage={},
+    )
+    capped = replace(throttled, subtype="error_max_budget_usd", errors=["acumen stopped at its spending limit"])
+    assert _provider_exhaustion_error(throttled) is None
+    assert _provider_exhaustion_error(capped) is None
+
+
+def test_provider_exhaustion_result_is_diagnostic_not_complete(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
+    box_root = tmp_path / "box"
+    box_root.mkdir()
+    box = Sandbox(
+        root=box_root,
+        home=tmp_path / "home",
+        config_dir=tmp_path / "codex-home",
+        env={},
+        authenticated=True,
+        provider="codex",
+    )
+
+    @contextmanager
+    def fake_sandbox(*_args, **_kwargs):
+        yield box
+
+    async def exhausted(*_args, **_kwargs) -> AgentResult:
+        return AgentResult(
+            provider="codex",
+            is_error=True,
+            subtype="turn.failed",
+            errors=["insufficient_quota: purchase more credits"],
+            session_id=None,
+            result="",
+            num_turns=0,
+            total_cost_usd=None,
+            duration_ms=10,
+            usage={},
+        )
+
+    monkeypatch.setattr("acumen.runner.sandbox", fake_sandbox)
+    monkeypatch.setattr("acumen.runner.run_agent", exhausted)
+    monkeypatch.setattr("acumen.runner._collect_artifacts", lambda *_args: None)
+    monkeypatch.setattr("acumen.runner.agent_version", lambda _provider: "test")
+    directory = tmp_path / "run"
+    outcome = asyncio.run(
+        run_once(
+            key=RunKey(arm="noskill", split="test", model="gpt-5.6-sol", task_id="task", rep=1),
+            task=Task(id="task", train=TaskSplit("prompt", "OK"), test=TaskSplit("prompt", "OK")),
+            target=Target(
+                source="target",
+                ref="main",
+                src_dir=tmp_path / "src",
+                venv_dir=tmp_path / "venv",
+                commit="abc",
+                pkg_name="target",
+                pkg_version="1",
+            ),
+            run_dir=directory,
+            model="gpt-5.6-sol",
+            max_turns=1,
+            max_usd=1.0,
+        )
+    )
+
+    persisted = json.loads((directory / "result.json").read_text())
+    assert outcome.reason == "provider_exhausted"
+    assert persisted["valid"] is False
+    assert not is_complete(directory)
+
+
+def test_run_matrix_cancels_remaining_cells_when_provider_is_exhausted(
+    tmp_path: Path, monkeypatch: pytest.MonkeyPatch
+) -> None:
+    task = Task(id="quota", train=TaskSplit("prompt", "OK"), test=TaskSplit("prompt", "OK"))
+    planned = [
+        PlannedRun(
+            key=RunKey(arm="noskill", split="test", model="gpt-5.6-sol", task_id=f"task_{index}", rep=1),
+            task=task,
+            model="gpt-5.6-sol",
+            max_turns=1,
+            max_usd=1.0,
+        )
+        for index in range(3)
+    ]
+    cancelled: list[str] = []
+
+    async def fake_run_once(*, key: RunKey, **_kwargs: object) -> RunOutcome:
+        if key.task_id == "task_0":
+            await asyncio.sleep(0)  # let sibling Codex cells become in-flight
+            return RunOutcome(
+                key=key,
+                success=False,
+                reason="provider_exhausted",
+                payload={"agent": "codex", "auth_mode": "session", "error": "usage limit reached"},
+            )
+        try:
+            await asyncio.Event().wait()
+        finally:
+            cancelled.append(key.task_id)
+
+    monkeypatch.setattr("acumen.bench.run_once", fake_run_once)
+    target = Target(
+        source="target",
+        ref="main",
+        src_dir=tmp_path / "src",
+        venv_dir=tmp_path / "venv",
+        commit="abc",
+        pkg_name="target",
+        pkg_version="1",
+    )
+
+    with pytest.raises(BenchmarkInvalidError, match="benchmark invalid"):
+        asyncio.run(run_matrix(planned, target=target, runs_root=tmp_path / "runs", max_concurrency=3))
+    assert set(cancelled) == {"task_1", "task_2"}
+
+
+def test_run_matrix_continues_other_provider_after_one_is_exhausted(
+    tmp_path: Path, monkeypatch: pytest.MonkeyPatch
+) -> None:
+    task = Task(id="mixed", train=TaskSplit("prompt", "OK"), test=TaskSplit("prompt", "OK"))
+
+    def planned(model: str, task_id: str) -> PlannedRun:
+        return PlannedRun(
+            key=RunKey(arm="noskill", split="test", model=model, task_id=task_id, rep=1),
+            task=task,
+            model=model,
+            max_turns=1,
+            max_usd=1.0,
+        )
+
+    matrix = [
+        planned("gpt-5.6-sol", "codex_quota"),
+        planned("claude-opus-5", "claude_first"),
+        planned("gpt-5.6-sol", "codex_queued"),
+        planned("claude-opus-5", "claude_queued"),
+    ]
+    completed: list[str] = []
+    cancelled: list[str] = []
+
+    async def fake_run_once(*, key: RunKey, **_kwargs: object) -> RunOutcome:
+        if key.task_id == "codex_quota":
+            return RunOutcome(
+                key=key,
+                success=False,
+                reason="provider_exhausted",
+                payload={"agent": "codex", "auth_mode": "session", "error": "usage limit reached"},
+            )
+        if key.model.startswith("gpt-"):
+            try:
+                await asyncio.Event().wait()
+            finally:
+                cancelled.append(key.task_id)
+        await asyncio.sleep(0)
+        completed.append(key.task_id)
+        return RunOutcome(key=key, success=True, reason="ok", payload={})
+
+    monkeypatch.setattr("acumen.bench.run_once", fake_run_once)
+    target = Target(
+        source="target",
+        ref="main",
+        src_dir=tmp_path / "src",
+        venv_dir=tmp_path / "venv",
+        commit="abc",
+        pkg_name="target",
+        pkg_version="1",
+    )
+
+    with pytest.raises(BenchmarkInvalidError, match="other providers continued"):
+        asyncio.run(run_matrix(matrix, target=target, runs_root=tmp_path / "runs", max_concurrency=2))
+    assert completed == ["claude_first", "claude_queued"]
+    assert cancelled == []  # the queued Codex cell was cancelled before it was submitted
+
+
 def test_codex_transcript_renders_its_own_html(tmp_path: Path) -> None:
     """`claude-code-log` reads the SDK format only — given Codex events it silently exits 0
     and writes an empty page, so Codex is rendered here instead."""
@@ -1234,6 +1444,14 @@ def test_collect_train_runs_carries_load_status(project: Path, make_result) -> N
     assert [r.skill_loaded for r in runs].count(None) == 1
 
 
+def test_improver_refuses_provider_exhaustion_evidence(project: Path, make_result) -> None:
+    key = RunKey(arm="skill_v1", split="train", model="gpt-5.6-sol", task_id="example_task", rep=1)
+    make_result(project / "runs", key, valid=False, reason="provider_exhausted", success=False)
+
+    with pytest.raises(ImproveError, match="infrastructure-invalid benchmark result"):
+        collect_train_runs(project / "runs", "skill_v1", load_tasks(project / "tasks.yaml"))
+
+
 def test_load_rates_split_by_model_and_count_undetermined(project: Path, make_result) -> None:
     """Rates are per model, since the load rate varies more by model than by skill version."""
     rates = load_rates(_train_evidence(project, make_result, [True, True, False, None]))
@@ -1582,6 +1800,14 @@ def test_build_agent_env_seeds_only_in_session_mode(tmp_path: Path, monkeypatch:
     assert not (api_cfg / ".credentials.json").exists()  # not seeded
 
 
+def test_reports_refuse_provider_exhaustion_results(runs_root: Path, model: str, make_result) -> None:
+    key = RunKey(arm="noskill", split="train", model=model, task_id="quota", rep=1)
+    make_result(runs_root, key, valid=False, reason="provider_exhausted", success=False)
+
+    with pytest.raises(ReportError, match="infrastructure-invalid provider quota/credit"):
+        load_results(runs_root)
+
+
 def test_resolve_palette_overrides_by_id_and_by_label() -> None:
     """An override wins over the tier default, keyed by the raw id or its display form."""
     models = ["claude-opus-5", "claude-haiku-4-5-20251001"]

From 2121d165974debb46433e7b47b47b5f2c1e6550b Mon Sep 17 00:00:00 2001
From: PauBadiaM <paubim@stanford.edu>
Date: Tue, 4 Aug 2026 17:22:25 -0700
Subject: [PATCH 12/15] Bench every arm when none is selected
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

`acumen bench` with no arm flag covered only the baseline, so comparing a
skill against it took one invocation per version and `--dry-run` never
showed what the project as a whole implied.

A bare `acumen bench` now covers every arm on disk — the baseline plus each
version in `skills/` — benched one after another against a single prepared
target, with per-arm counts, per-arm tallies and a combined total. Resume
still applies per arm, so adding `skills/v3` and rerunning costs only v3.
`--no-skill` / `--skill vN` restrict the pass to one arm as before, and
`--dry-run` plans the same set for free.

Skills load before target prep, so a version that will not load stops the
pass at planning instead of being dropped from the comparison or failing
part-way through a paid run.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
---
 CHANGELOG.md                                  |   6 +
 README.md                                     |   1 +
 src/acumen/_skills/data/SKILL.md              |  14 +-
 .../_skills/data/references/benchmark.md      |  16 +-
 src/acumen/cli.py                             | 221 ++++++++++++------
 tests/test_cli.py                             | 109 +++++++++
 6 files changed, 288 insertions(+), 79 deletions(-)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index 06e0cf8..159caf7 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -20,6 +20,12 @@ and this project adheres to [Semantic Versioning][].
 - Add `acumen prices` to show the rate table and `acumen prices --refresh` to diff it
   against the providers' published pricing, plus a `prices:` config key to override it.
 - Render an HTML transcript for Codex runs too, from the `codex exec` event stream.
+- Run the whole comparison from one `acumen bench`: with no arm selected it now covers
+  every arm the project has — the baseline plus each version in `skills/` — benching them
+  one after another against a single prepared target, with per-arm counts and tallies and a
+  combined total. `--dry-run` plans the same set for free, and `--no-skill` / `--skill vN`
+  still restrict the pass to one arm. A version in `skills/` that fails to load stops the
+  pass at planning rather than being dropped from the comparison.
 
 ### Changed
 
diff --git a/README.md b/README.md
index 4606439..74d9c1f 100644
--- a/README.md
+++ b/README.md
@@ -48,6 +48,7 @@ acumen draft                     # generate skills/v1 from the package source, o
 acumen bench --skill v1          # benchmark the skill against the baseline
 acumen improve                   # generate skills/v2 from v1's train results, or write by hand
 acumen bench --skill v2
+acumen bench                     # or: every arm at once (baseline + each skills/vN)
 acumen report                    # aggregate every run into report.html
 
 # 4. Once a version proves out, ship it into the package itself:
diff --git a/src/acumen/_skills/data/SKILL.md b/src/acumen/_skills/data/SKILL.md
index 880cb39..0a7fbf3 100644
--- a/src/acumen/_skills/data/SKILL.md
+++ b/src/acumen/_skills/data/SKILL.md
@@ -13,7 +13,7 @@ run from the project dir and default to `config.yaml`, `tasks.yaml`, `skills/`,
 ```bash
 acumen init                # scaffold config.yaml + tasks.yaml (placeholders the user must fill)
 acumen tasks               # optional: mine the package for tasks, run them for ground truth
-acumen bench --no-skill    # baseline arm  (this is also the default arm)
+acumen bench --no-skill    # baseline arm  (bare `acumen bench` runs every arm there is)
 acumen draft               # agent reads the package source -> skills/v1/
 acumen bench --skill v1
 acumen improve             # agent reads v1's TRAIN runs -> skills/v2/
@@ -43,7 +43,7 @@ a command.
 | `acumen init` | Both files are placeholders (`repo: OWNER/REPO`, `REPLACE_ME` answers). Ask the user for what only they can supply — the target repo/path, ref, models, budgets — and fill in `config.yaml` with their answers. Do not guess a target or run the next command. |
 | `config.yaml` filled | Offer both ways to get tasks: `acumen tasks` to generate them, or writing `tasks.yaml` by hand. Review generated tasks with the user before benching. |
 | config + tasks ready | `acumen bench --no-skill` and `acumen draft` are **both** correct next steps — they are independent, and you need the baseline arm and a skill arm before any comparison means anything. Offer both. |
-| a skill version exists | `acumen bench --skill vN`. |
+| a skill version exists | `acumen bench --skill vN`, or bare `acumen bench` to cover the baseline and every version at once (resume means only the unbenched cells cost anything). |
 | any `bench` finished | `acumen report` — the per-arm, per-split numbers come from the report; do not judge a version by eyeballing runs or by one arm's pass count. |
 | `report` written | Discuss the results with the user and propose next steps: `improve` + re-bench if it has not beaten the baseline or the previous version, `ship` once a version has proven out, or stop. The user decides. |
 | user has a skill dir from elsewhere | Copy it into `skills/v1/` (next unused version) inside the acumen project — versions are only ever read from `skills/`; there is no import command and no external path flag. |
@@ -96,10 +96,12 @@ a command.
 1. **Grading is exact string match on `answer.md` after `strip()`, case-sensitive.**
    Nothing is normalized. `**TOKEN**` against `TOKEN` fails (recorded as `format_error`,
    not `wrong_answer`). Task answers must be one short unambiguous token.
-2. **A pass is models × tasks × splits × replicates.** The scaffolded config lists 6
-   models and `n_replicates: 3`, so *one* task costs 36 agent runs *per arm*. Check with
-   `acumen bench --dry-run` (it plans and exits, spending nothing) and agree the size with
-   the user before spending. Trim with `models:`, `n_replicates: 1`, `--task ID`, `--split`.
+2. **A pass is models × tasks × splits × replicates, times the arms it covers.** The
+   scaffolded config lists 6 models and `n_replicates: 3`, so *one* task costs 36 agent runs
+   *per arm* — and bare `acumen bench` runs every arm on disk, so with two skill versions
+   that is 108. Check with `acumen bench --dry-run` (it plans and exits, spending nothing,
+   over the same arms the real run would) and agree the size with the user before spending.
+   Trim with `models:`, `n_replicates: 1`, `--task ID`, `--split`, or by naming one arm.
 3. **`max_turns`/`max_usd` in `config.yaml` cap benchmark agents only.** `draft`,
    `improve`, `tasks`, and `ship` are **unbounded** unless you pass `--max-turns`/`--max-usd`.
 4. **Skill versions are immutable.** `draft` refuses (exit 2) if any `skills/vN` exists;
diff --git a/src/acumen/_skills/data/references/benchmark.md b/src/acumen/_skills/data/references/benchmark.md
index 2301913..17c2813 100644
--- a/src/acumen/_skills/data/references/benchmark.md
+++ b/src/acumen/_skills/data/references/benchmark.md
@@ -11,10 +11,20 @@ acumen bench [--no-skill | --skill v1] [--split train|test]... [--task ID]...
              [--cache ~/.cache/acumen]
 ```
 
-- Neither `--no-skill` nor `--skill` → the **baseline** arm (they are mutually exclusive).
-- `--split` and `--task` are repeatable; omitted means all.
+- Neither `--no-skill` nor `--skill` → **every arm the project has**: the baseline plus each
+  version in `skills/`, benched one arm after another against one prepared target. That is
+  the whole comparison in one command, and also the largest thing `bench` can spend, so
+  check it with `--dry-run` first. Name an arm (`--no-skill` / `--skill vN`, mutually
+  exclusive) to run just that one.
+- Arms run sequentially; within an arm, runs go `max_concurrency` at a time. Each arm prints
+  its own tally, then a combined one. Completed runs are skipped per arm as usual, so adding
+  `skills/v3` and rerunning `acumen bench` benches only v3.
+- A version in `skills/` that fails to load stops the pass at planning, before target prep
+  and before any spend, rather than being silently dropped from the comparison.
+- `--split` and `--task` are repeatable; omitted means all. They apply to every arm.
 - `--dry-run` prints the planned matrix and exits **before** target prep and before any
-  agent runs — free, and the right way to check the size of a pass.
+  agent runs — free, and the right way to check the size of a pass. It covers the same arms
+  the real run would, with per-arm counts and a total.
 - `--replicates` / `--max-concurrency` override the config for this pass only.
 - `--auth auto` (default) prefers a stored account/subscription login, then falls back to
   metered API credentials. Use `--auth session` or `--auth api` to require one explicitly.
diff --git a/src/acumen/cli.py b/src/acumen/cli.py
index 55c1cde..a9f39aa 100644
--- a/src/acumen/cli.py
+++ b/src/acumen/cli.py
@@ -6,18 +6,19 @@
 import asyncio
 import sys
 import time
-from dataclasses import replace
+from collections.abc import Sequence
+from dataclasses import dataclass, replace
 from datetime import date
 from pathlib import Path
 
 from acumen.agents import AgentError, AgentProvider, check_agent_cli, provider_for_model
-from acumen.bench import BenchmarkInvalidError, build_matrix, pending, run_matrix, summarize
-from acumen.config import ConfigError, load_config
+from acumen.bench import BenchmarkInvalidError, PlannedRun, build_matrix, pending, run_matrix, summarize
+from acumen.config import Config, ConfigError, load_config
 from acumen.draft import DraftError, draft_skill
 from acumen.env import DEFAULT_CACHE_ROOT, AuthMode, EnvError, prepare_target, resolve_auth_mode
 from acumen.improve import ImproveError, improve_skill
 from acumen.logs import LiveLog
-from acumen.paths import SPLITS
+from acumen.paths import SPLITS, arm_name
 from acumen.pricefeed import (
     PRICE_SOURCES,
     PRICE_TIER,
@@ -32,9 +33,9 @@
 from acumen.runner import RunOutcome, StderrFilter
 from acumen.scaffold import InitError, is_scaffold_tasks, scaffold
 from acumen.ship import ShipError, ship_skill
-from acumen.skills import SkillError, available_versions, latest_version, load_skill
+from acumen.skills import Skill, SkillError, available_versions, latest_version, load_skill
 from acumen.taskgen import TaskGenError, generate_tasks
-from acumen.tasks import TaskError, load_tasks
+from acumen.tasks import Task, TaskError, load_tasks
 
 
 def _add_bench_args(parser: argparse.ArgumentParser) -> None:
@@ -42,8 +43,8 @@ def _add_bench_args(parser: argparse.ArgumentParser) -> None:
     parser.add_argument("--tasks", type=Path, default=Path("tasks.yaml"), help="path to tasks.yaml")
     parser.add_argument("--runs", type=Path, default=Path("runs"), help="root of the run tree")
     arm = parser.add_mutually_exclusive_group()
-    arm.add_argument("--no-skill", action="store_true", help="run the baseline arm (the default)")
-    arm.add_argument("--skill", metavar="VERSION", help="run with a skill version, e.g. v1")
+    arm.add_argument("--no-skill", action="store_true", help="run the baseline arm alone")
+    arm.add_argument("--skill", metavar="VERSION", help="run one skill version alone, e.g. v1")
     parser.add_argument("--split", choices=SPLITS, action="append", help="restrict to a split (repeatable)")
     parser.add_argument("--task", metavar="ID", action="append", help="restrict to a task id (repeatable)")
     parser.add_argument("--max-concurrency", type=int, help="override config max_concurrency")
@@ -53,7 +54,11 @@ def _add_bench_args(parser: argparse.ArgumentParser) -> None:
     parser.add_argument("--keep-sandboxes", action="store_true", help="leave run sandboxes on disk")
     parser.add_argument("--cache", type=Path, default=DEFAULT_CACHE_ROOT, help="target cache root")
     parser.add_argument("--skills", type=Path, default=Path("skills"), help="root of the skill tree")
-    parser.add_argument("--dry-run", action="store_true", help="print the matrix and exit without running agents")
+    parser.add_argument(
+        "--dry-run",
+        action="store_true",
+        help="print the matrix and exit without running agents, over the same arms the real pass would cover",
+    )
     _add_auth_arg(parser)
 
 
@@ -222,6 +227,101 @@ def _fmt_cost(value: float | None) -> str:
     return f"${value:.2f}" if value is not None else "cost n/a"
 
 
+@dataclass(frozen=True)
+class _Arm:
+    """One arm of a pass: its version, its loaded skill, and its matrix."""
+
+    version: str | None  # None => the noskill baseline
+    skill: Skill | None
+    planned: list[PlannedRun]
+    todo: list[PlannedRun]
+
+    @property
+    def name(self) -> str:
+        return arm_name(self.version)
+
+
+def _resolve_arms(cfg: Config, tasks: Sequence[Task], args: argparse.Namespace) -> list[_Arm]:
+    """Build the arms this invocation covers, loading every skill before anything is spent.
+
+    Naming an arm (``--skill vN`` / ``--no-skill``) covers that one alone. Naming none covers
+    the whole project: the baseline plus every version in ``skills/``, which is the comparison
+    the report wants anyway. A version that will not load raises here, before target prep, so a
+    broken skill costs nothing rather than surfacing part-way through a paid pass.
+    """
+    if args.skill is not None:
+        versions: list[str | None] = [args.skill]
+    elif args.no_skill:
+        versions = [None]
+    else:
+        versions = [None, *available_versions(args.skills)]
+
+    arms = []
+    for version in versions:
+        skill = None if version is None else load_skill(args.skills, version, expect_name=cfg.skill_name)
+        planned = build_matrix(cfg, tasks, skill=version, splits=args.split or SPLITS, task_ids=args.task)
+        todo = pending(planned, args.runs, resume=not args.no_resume)
+        arms.append(_Arm(version=version, skill=skill, planned=planned, todo=todo))
+    return arms
+
+
+def _print_plan(arms: Sequence[_Arm]) -> None:
+    """Print what each arm holds, and the total when a pass spans several."""
+    width = max(len(f"arm {arm.name}:") for arm in arms) if len(arms) > 1 else 0
+    indent = "    " if len(arms) > 1 else ""
+    for arm in arms:
+        label = f"arm {arm.name}:".ljust(width)
+        complete = len(arm.planned) - len(arm.todo)
+        print(f"{label} {len(arm.planned)} runs planned, {complete} already complete, {len(arm.todo)} to run")
+        if arm.skill is not None:
+            print(f"{indent}skill {arm.skill.version}: {arm.skill.name} ({arm.skill.hash[:19]}…)")
+    if len(arms) > 1:
+        planned = sum(len(arm.planned) for arm in arms)
+        todo = sum(len(arm.todo) for arm in arms)
+        print(f"total: {planned} runs planned, {todo} to run across {len(arms)} arms")
+
+
+def _print_runs(todo: Sequence[PlannedRun]) -> None:
+    for item in todo:
+        k = item.key
+        print(f"  {k.arm}/{k.split}/{k.model}/{k.task_id}/rep_{k.rep}")
+
+
+def _print_run_summary(outcomes: Sequence[RunOutcome], elapsed: float, *, label: str = "") -> None:
+    """Print the pass tally: how many passed, how long, what it cost, why runs failed."""
+    passed = sum(1 for o in outcomes if o.success)
+    counts = summarize(outcomes)
+    breakdown = ", ".join(f"{reason}={n}" for reason, n in sorted(counts.items()))
+    priced = [
+        float(o.payload["cost_usd"])
+        for o in outcomes
+        if o.payload.get("cost_available", True) and o.payload.get("cost_usd") is not None
+    ]
+    total_cost = sum(priced)
+    unpriced = len(outcomes) - len(priced)
+    cost_summary = f"${total_cost:.2f}" if priced else "cost n/a"
+    if unpriced and priced:
+        cost_summary += f" + {unpriced} unpriced run(s)"
+    elif unpriced:
+        cost_summary += f" ({unpriced} unpriced run(s))"
+    prefix = f"{label}: " if label else ""
+    print(f"\n{prefix}{passed}/{len(outcomes)} passed in {_fmt_secs(elapsed)}  ({cost_summary}, {breakdown})")
+
+
+def _print_skill_loading(outcomes: Sequence[RunOutcome], arm: _Arm, skill_name: str) -> None:
+    """Say whether the skill reached the agent — the comparison means nothing otherwise."""
+    loaded = sum(1 for o in outcomes if o.payload.get("skill_loaded"))
+    if arm.skill is not None:
+        print(f"skill loaded in {loaded}/{len(outcomes)} runs")
+        if loaded == 0:
+            print(
+                f"warning: {arm.name} never loaded the skill — that arm is not measuring the skill",
+                file=sys.stderr,
+            )
+    elif loaded:
+        print(f"warning: {skill_name} loaded in {loaded} baseline runs", file=sys.stderr)
+
+
 def _cmd_bench(args: argparse.Namespace) -> int:
     cfg = load_config(args.config)
     tasks = load_tasks(args.tasks)
@@ -230,23 +330,14 @@ def _cmd_bench(args: argparse.Namespace) -> int:
     if args.replicates:
         cfg = replace(cfg, n_replicates=args.replicates)
 
-    version = args.skill  # None => the noskill baseline
-    skill = None
-    if version is not None:
-        skill = load_skill(args.skills, version, expect_name=cfg.skill_name)
-
-    planned = build_matrix(cfg, tasks, skill=version, splits=args.split or SPLITS, task_ids=args.task)
-    todo = pending(planned, args.runs, resume=not args.no_resume)
-
-    arm = "noskill" if version is None else f"skill_{version}"
-    print(f"arm {arm}: {len(planned)} runs planned, {len(planned) - len(todo)} already complete, {len(todo)} to run")
-    if skill is not None:
-        print(f"skill {skill.version}: {skill.name} ({skill.hash[:19]}…)")
+    arms = _resolve_arms(cfg, tasks, args)
+    _print_plan(arms)
     if args.dry_run:
-        for item in todo:
-            k = item.key
-            print(f"  {k.arm}/{k.split}/{k.model}/{k.task_id}/rep_{k.rep}")
+        for arm in arms:
+            _print_runs(arm.todo)
         return 0
+
+    todo = [item for arm in arms for item in arm.todo]
     if not todo:
         return 0
 
@@ -268,26 +359,37 @@ def _cmd_bench(args: argparse.Namespace) -> int:
     target = prepare_target(cfg, args.cache, refresh=args.refresh_target)
     print(f"target ready: {target.fingerprint} @ {target.commit[:8]} (venv {target.venv_dir})", flush=True)
 
+    # Arms run one after another: every run in a matrix shares one skill, and a sequential
+    # pass keeps each arm's tally readable while the progress counter spans the whole thing.
+    running = [arm for arm in arms if arm.todo]
     print(f"running {len(todo)} runs, up to {cfg.max_concurrency} at a time:", flush=True)
     progress = _Progress(len(todo))
+    collected: list[RunOutcome] = []
     try:
-        outcomes = asyncio.run(
-            run_matrix(
-                todo,
-                target=target,
-                runs_root=args.runs,
-                max_concurrency=cfg.max_concurrency,
-                auth_modes=auth_modes,
-                skill=skill,
-                skill_name=cfg.skill_name,
-                keep_sandbox=args.keep_sandboxes,
-                stderr=StderrFilter(),
-                on_start=progress.on_start,
-                on_done=progress.on_done,
-                env_passthrough=cfg.env_passthrough,
-                price_overrides=cfg.prices,
+        for arm in running:
+            if len(running) > 1:
+                print(f"\n=== arm {arm.name}: {len(arm.todo)} runs ===", flush=True)
+            started = time.monotonic()
+            outcomes = asyncio.run(
+                run_matrix(
+                    arm.todo,
+                    target=target,
+                    runs_root=args.runs,
+                    max_concurrency=cfg.max_concurrency,
+                    auth_modes=auth_modes,
+                    skill=arm.skill,
+                    skill_name=cfg.skill_name,
+                    keep_sandbox=args.keep_sandboxes,
+                    stderr=StderrFilter(),
+                    on_start=progress.on_start,
+                    on_done=progress.on_done,
+                    env_passthrough=cfg.env_passthrough,
+                    price_overrides=cfg.prices,
+                )
             )
-        )
+            collected.extend(outcomes)
+            _print_run_summary(outcomes, time.monotonic() - started, label=arm.name if len(running) > 1 else "")
+            _print_skill_loading(outcomes, arm, cfg.skill_name)
     except BenchmarkInvalidError as err:
         print(f"\nerror: {err}", file=sys.stderr)
         print(
@@ -297,35 +399,8 @@ def _cmd_bench(args: argparse.Namespace) -> int:
         )
         return 2
 
-    passed = sum(1 for o in outcomes if o.success)
-    counts = summarize(outcomes)
-    breakdown = ", ".join(f"{reason}={n}" for reason, n in sorted(counts.items()))
-    priced = [
-        float(o.payload["cost_usd"])
-        for o in outcomes
-        if o.payload.get("cost_available", True) and o.payload.get("cost_usd") is not None
-    ]
-    total_cost = sum(priced)
-    unpriced = len(outcomes) - len(priced)
-    cost_summary = f"${total_cost:.2f}" if priced else "cost n/a"
-    if unpriced and priced:
-        cost_summary += f" + {unpriced} unpriced run(s)"
-    elif unpriced:
-        cost_summary += f" ({unpriced} unpriced run(s))"
-    print(f"\n{passed}/{len(outcomes)} passed in {_fmt_secs(progress.elapsed)}  ({cost_summary}, {breakdown})")
-
-    # The comparison is only meaningful if the skill actually reached the agent, so say
-    # so rather than leaving it to be discovered later in the transcripts.
-    loaded = sum(1 for o in outcomes if o.payload.get("skill_loaded"))
-    if skill is not None:
-        print(f"skill loaded in {loaded}/{len(outcomes)} runs")
-        if loaded == 0:
-            print(
-                "warning: the skill never loaded — this arm is not measuring the skill",
-                file=sys.stderr,
-            )
-    elif loaded:
-        print(f"warning: {cfg.skill_name} loaded in {loaded} baseline runs", file=sys.stderr)
+    if len(running) > 1:
+        _print_run_summary(collected, progress.elapsed, label=f"all {len(running)} arms")
     print(f"runs written to {args.runs.resolve()}")
     return 0
 
@@ -660,7 +735,13 @@ def build_parser() -> argparse.ArgumentParser:
         prog="acumen", description="Build, benchmark, and optimize agentic skills for Python packages."
     )
     sub = parser.add_subparsers(dest="command", required=True)
-    bench = sub.add_parser("bench", help="run a benchmark pass")
+    bench = sub.add_parser(
+        "bench",
+        help="run a benchmark pass over every arm, or one named arm",
+        description="Bench every arm the project has (the baseline plus each version in skills/), "
+        "or a single arm with --no-skill / --skill vN. Completed runs are skipped, so rerunning "
+        "only costs the cells that are missing.",
+    )
     _add_bench_args(bench)
     bench.set_defaults(func=_cmd_bench)
 
diff --git a/tests/test_cli.py b/tests/test_cli.py
index 1117155..8700dcc 100644
--- a/tests/test_cli.py
+++ b/tests/test_cli.py
@@ -176,6 +176,46 @@ def test_bench_dry_run_skips_completed_runs(
     assert "1 already complete, 1 to run" in out
 
 
+def test_bench_dry_run_plans_every_arm_when_none_is_selected(
+    project: Path, skills_root: Path, model: str, capsys: pytest.CaptureFixture
+) -> None:
+    assert main(bench_args(project, "--dry-run")) == 0
+
+    out = capsys.readouterr().out
+    # The baseline and every version on disk, each with its own counts, plus the run list.
+    assert "arm noskill:" in out
+    assert "arm skill_v1:" in out
+    assert "skill v1: target" in out
+    assert "total: 4 runs planned, 4 to run across 2 arms" in out
+    assert f"noskill/train/{model}/example_task/rep_1" in out
+    assert f"skill_v1/train/{model}/example_task/rep_1" in out
+
+
+def test_bench_dry_run_stays_on_one_arm_when_the_baseline_is_explicit(
+    project: Path, skills_root: Path, capsys: pytest.CaptureFixture
+) -> None:
+    assert main(bench_args(project, "--no-skill", "--dry-run")) == 0
+
+    out = capsys.readouterr().out
+    assert "arm noskill:" in out
+    assert "skill_v1" not in out
+    assert "total:" not in out
+
+
+def test_bench_refuses_a_version_that_will_not_load_before_spending(
+    project: Path, skills_root: Path, capsys: pytest.CaptureFixture
+) -> None:
+    # A broken version in skills/ is an arm that cannot run, so the whole pass stops at
+    # planning rather than half-running and failing once money is on the line.
+    (skills_root / "v2").mkdir()
+    (skills_root / "v2" / "SKILL.md").write_text("no frontmatter here\n")
+    assert main(bench_args(project, "--dry-run")) == 2
+    assert "missing a non-empty 'name'" in capsys.readouterr().err
+
+    # The healthy arms are still benchable by naming them.
+    assert main(bench_args(project, "--skill", "v1", "--dry-run")) == 0
+
+
 def test_bench_with_a_skill_loads_that_version(project: Path, skills_root: Path, capsys: pytest.CaptureFixture) -> None:
     assert main(bench_args(project, "--skill", "v1", "--dry-run")) == 0
 
@@ -189,6 +229,75 @@ def test_bench_reports_a_missing_config(tmp_path: Path, capsys: pytest.CaptureFi
     assert "error:" in capsys.readouterr().err
 
 
+def test_bench_runs_every_arm_when_none_is_selected(
+    project: Path, skills_root: Path, model: str, monkeypatch: pytest.MonkeyPatch, capsys: pytest.CaptureFixture
+) -> None:
+    seen: list[tuple[str | None, int]] = []
+
+    async def fake_matrix(todo, **kwargs) -> list[RunOutcome]:
+        skill = kwargs["skill"]
+        seen.append((None if skill is None else skill.version, len(todo)))
+        return [
+            RunOutcome(key=item.key, success=True, reason="ok", payload={"cost_usd": 0.5, "skill_loaded": True})
+            for item in todo
+        ]
+
+    target = Target(
+        source="target",
+        ref="main",
+        src_dir=project / "src",
+        venv_dir=project / "venv",
+        commit="abc",
+        pkg_name="target",
+        pkg_version="1",
+    )
+    monkeypatch.setattr("acumen.cli.resolve_auth_mode", lambda *_args, **_kwargs: "session")
+    monkeypatch.setattr("acumen.cli.check_agent_cli", lambda *_args, **_kwargs: None)
+    monkeypatch.setattr("acumen.cli.prepare_target", lambda *_args, **_kwargs: target)
+    monkeypatch.setattr("acumen.cli.run_matrix", fake_matrix)
+
+    assert main(bench_args(project)) == 0
+
+    # One matrix per arm, each carrying its own skill: the baseline, then v1.
+    assert seen == [(None, 2), ("v1", 2)]
+    out = capsys.readouterr().out
+    assert "total: 4 runs planned, 4 to run across 2 arms" in out
+    assert "=== arm skill_v1: 2 runs ===" in out
+    assert "all 2 arms: 4/4 passed" in out
+
+
+def test_bench_runs_only_the_named_arm(
+    project: Path, skills_root: Path, monkeypatch: pytest.MonkeyPatch, capsys: pytest.CaptureFixture
+) -> None:
+    seen: list[str | None] = []
+
+    async def fake_matrix(todo, **kwargs) -> list[RunOutcome]:
+        skill = kwargs["skill"]
+        seen.append(None if skill is None else skill.version)
+        return [RunOutcome(key=item.key, success=True, reason="ok", payload={}) for item in todo]
+
+    target = Target(
+        source="target",
+        ref="main",
+        src_dir=project / "src",
+        venv_dir=project / "venv",
+        commit="abc",
+        pkg_name="target",
+        pkg_version="1",
+    )
+    monkeypatch.setattr("acumen.cli.resolve_auth_mode", lambda *_args, **_kwargs: "session")
+    monkeypatch.setattr("acumen.cli.check_agent_cli", lambda *_args, **_kwargs: None)
+    monkeypatch.setattr("acumen.cli.prepare_target", lambda *_args, **_kwargs: target)
+    monkeypatch.setattr("acumen.cli.run_matrix", fake_matrix)
+
+    assert main(bench_args(project, "--no-skill")) == 0
+
+    assert seen == [None]
+    out = capsys.readouterr().out
+    assert "skill_v1" not in out
+    assert "total:" not in out
+
+
 def test_bench_exits_nonzero_and_prints_provider_exhaustion(
     project: Path, model: str, monkeypatch: pytest.MonkeyPatch, capsys: pytest.CaptureFixture
 ) -> None:

From c09b36ab67ab50690506182c7a258df648ed5945 Mon Sep 17 00:00:00 2001
From: PauBadiaM <paubim@stanford.edu>
Date: Tue, 4 Aug 2026 21:09:02 -0700
Subject: [PATCH 13/15] Order the OpenAI ramp by tier potency

The teal ramp had luna and terra swapped: luna took the mid-dark step and
terra the lightest, though terra is the more potent of the two. Published
rates put the tiers at sol $5/$30, terra $2/$12, luna $0.20/$1.20, so the
ramp now steps sol -> terra -> luna, darkest to lightest, matching the warm
Anthropic ramp. _MODEL_ORDER follows, which also puts the legend and bar
order in the same sequence config.yaml already scaffolds.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
---
 src/acumen/report.py | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/src/acumen/report.py b/src/acumen/report.py
index 951c073..eb7803e 100644
--- a/src/acumen/report.py
+++ b/src/acumen/report.py
@@ -69,7 +69,7 @@
 # gate — deuteranopia 14.9, protanopia 8.2, normal-vision 23.7 — so the two providers stay
 # distinguishable in every vision type. Train/test already spends the texture channel, so
 # colour is the only thing carrying provider identity here; it has to work on its own.
-_MODEL_ORDER = ("fable", "opus", "sonnet", "haiku", "sol", "luna", "terra")
+_MODEL_ORDER = ("fable", "opus", "sonnet", "haiku", "sol", "terra", "luna")
 _MODEL_COLOR = {
     # Anthropic — the warm ramp.
     "fable": "#d86f53",  # Claude orange — most potent, darkest/most saturated
@@ -77,9 +77,9 @@
     "sonnet": "#e8a794",  # lighter still
     "haiku": "#eec0b0",  # lightest — least potent
     # OpenAI — the cool ramp, stepped over the same lightness span.
-    "sol": "#005661",  # darkest
-    "luna": "#007782",
-    "terra": "#0099a3",  # lightest
+    "sol": "#005661",  # most potent, darkest
+    "terra": "#007782",
+    "luna": "#0099a3",  # lightest — least potent
 }
 _OTHER_MODEL_COLOR = "#8a8378"  # neutral fallback for an unrecognised model id
 
@@ -461,7 +461,7 @@ def resolve_palette(models: Sequence[str], overrides: Mapping[str, str] | None =
 def _models_in_order(df: pd.DataFrame) -> list[str]:
     """Models present, grouped by provider and most-potent first, then any others.
 
-    Anthropic's tiers lead (fable, opus, sonnet, haiku), then OpenAI's (sol, luna, terra), so
+    Anthropic's tiers lead (fable, opus, sonnet, haiku), then OpenAI's (sol, terra, luna), so
     each provider's ramp reads as a run of one hue rather than being interleaved with the other.
     """
 

From c4fca23aa658e2466bd151997470e0aabc066bb5 Mon Sep 17 00:00:00 2001
From: PauBadiaM <paubim@stanford.edu>
Date: Tue, 4 Aug 2026 21:45:28 -0700
Subject: [PATCH 14/15] Read token rates live instead of shipping a table

Prices move, and each run's cost is frozen into its result.json when the
run finishes and never recomputed. A table compiled into a release is
therefore wrong from whatever date the providers next change a price, and
that wrongness gets stored rather than corrected on the next run.

So no rates ship with the package at all. They come from the providers'
pricing pages, or from a `prices:` pin in config.yaml, which still wins:
only the operator knows what a negotiated rate or a gateway markup is.
A model neither layer covers is unpriced, which was already a
first-class state throughout (cost_usd is None, never 0.0).

bench resolves rates before it spends anything and fails the pass if the
pages cannot be read: cost is a headline metric, and a pass that cannot
establish rates has not earned the numbers it would print. draft,
improve, tasks and ship fetch too but degrade to unpriced, since their
cost line is progress reporting rather than stored evidence. That
degradation warns about its one real consequence: Codex's max_usd cap is
derived from these rates, so an unpriced Codex run has no enforceable
budget cap.

Each run now records price_source and price_rates_as_of alongside the
rates themselves, so passes months apart stay individually attributable
and one report can mix them. The report flags arms priced on different
dates, whose cost gap contains any price change and not only the skill's
effect.

Two things this surfaced:

- A dated snapshot (claude-haiku-4-5-20251001) now falls back to its
  family rate. Providers publish one rate per family and never list the
  snapshot IDs, and acumen init scaffolds one, so a default project would
  otherwise have benched an entirely unpriced model. The old table hid
  this by hardcoding both IDs.
- Three CLI tests began reaching the live network once bench started
  fetching, and passed only because the machine happened to be online. An
  autouse fixture now fails any test that touches the network, which is
  what the suite's docstring already claimed.

acumen prices reads the pages too, since there is no offline table left
to print; --refresh now reports pins that have drifted from the published
price, the only rates that can still go stale.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
---
 CHANGELOG.md                                  |  13 ++
 README.md                                     |  37 +++-
 .../_skills/data/references/benchmark.md      |  20 +-
 src/acumen/bench.py                           |  12 +-
 src/acumen/cli.py                             | 134 +++++++++---
 src/acumen/draft.py                           |  13 +-
 src/acumen/improve.py                         |  13 +-
 src/acumen/pricefeed.py                       | 105 ++++++---
 src/acumen/prices.py                          | 177 +++++++++------
 src/acumen/report.py                          |  31 +++
 src/acumen/runner.py                          |  16 +-
 src/acumen/ship.py                            |  13 +-
 src/acumen/taskgen.py                         |  13 +-
 tests/conftest.py                             |  17 ++
 tests/test_cli.py                             | 206 +++++++++++++++++-
 tests/test_core.py                            | 201 +++++++++++++++--
 16 files changed, 833 insertions(+), 188 deletions(-)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index 159caf7..aca4e2f 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -19,6 +19,19 @@ and this project adheres to [Semantic Versioning][].
   at its own rate. The rates used are frozen into `result.json`.
 - Add `acumen prices` to show the rate table and `acumen prices --refresh` to diff it
   against the providers' published pricing, plus a `prices:` config key to override it.
+- Ship no rate table at all: rates are read from the providers' pricing pages on every
+  command that prices something, since a table compiled into a release is wrong from
+  whatever date prices next move, and each run's cost is frozen when written rather than
+  corrected later. `prices:` in `config.yaml` still overrides, and still wins.
+- Fail `acumen bench` when the pricing pages cannot be read, before anything is spent:
+  cost is a headline metric of the report, so a pass that cannot establish rates should
+  not run. `draft`, `improve`, `tasks`, and `ship` degrade to unpriced instead, warning
+  that Codex's `max_usd` cannot be enforced without rates.
+- Record `price_source` and `price_rates_as_of` next to `price_rates` in every
+  `result.json`, so runs benchmarked months apart remain individually attributable and a
+  single report can mix them without restating either.
+- Flag arms in a report that were priced on different dates: the cost difference between
+  them includes any change in provider pricing, not only the skill's effect.
 - Render an HTML transcript for Codex runs too, from the `codex exec` event stream.
 - Run the whole comparison from one `acumen bench`: with no arm selected it now covers
   every arm the project has — the baseline plus each version in `skills/` — benching them
diff --git a/README.md b/README.md
index 74d9c1f..54cf871 100644
--- a/README.md
+++ b/README.md
@@ -118,7 +118,7 @@ which has no cap of its own — acumen enforces both against its event stream:
   Claude gives it — but bound Codex spend with `max_turns`. acumen prints this before the pass.
 
 **Reports compare inferred cost per run.** Every run records its token breakdown — fresh
-input, cache reads, cache writes, and output — and Acumen prices it with the frozen rate table
+input, cache reads, cache writes, and output — and Acumen prices it with the rate table
 stored in `result.json`. That gives Claude and Codex one comparable basis and prevents an old
 benchmark from being silently re-priced. The result itself retains both
 `provider_cost_usd` (when the backend supplies one) and `inferred_cost_usd`; its compatibility
@@ -126,17 +126,36 @@ field `cost_usd` remains provider-first. The report's sidecar CSV calls the form
 `recorded_cost_usd` and keeps it separate from `inferred_cost_usd`, while every displayed cost
 and comparison uses the inferred value.
 
+**Rates are read from the providers' pricing pages, never shipped with the package.** Prices
+move, and each run's cost is frozen into its `result.json` and never recomputed, so a table
+compiled into a release would store numbers that were already wrong. `bench` resolves rates
+before it spends anything and **fails the pass** if the pages cannot be read: cost is a headline
+metric, and a benchmark that cannot establish rates has not earned the numbers it would print.
+`draft`, `improve`, `tasks`, and `ship` fetch too but degrade to unpriced instead — their cost
+line is progress reporting, not stored evidence.
+
+Alongside the rates themselves each run records `price_source` (`config` or `fetched`) and
+`price_rates_as_of`, so a pass run in August and another in October stay individually
+attributable and one report can cover both without restating either. When arms in a report were
+priced on different dates, the report says so: the cost gap between them includes the price
+change, not only the skill's effect.
+
 ```bash
-acumen prices              # the rates in use, and where each came from
-acumen prices --refresh    # re-check them against the providers' pricing pages
+acumen prices              # the rates in use today, and where each came from
+acumen prices --refresh    # check pinned rates against what the providers publish
 ```
 
-`--refresh` fetches both providers' published tables and prints a diff for you to accept —
-it never rewrites anything, because picking the wrong tier or context band would silently
-misprice every future run. Adopt changes by pasting the emitted block into `config.yaml`
-under `prices:`, which is also how you price a model acumen doesn't ship a rate for, or
-override rates for a gateway. A model with no rate records its tokens and leaves inferred
-report cost unavailable — never zero, which would read as free.
+Pin rates with a `prices:` block in `config.yaml` to price a model the providers don't publish,
+to price a gateway, or to record negotiated rates — pins outrank a live fetch, since only you
+know what you are billed. They are also the only rates that can drift unnoticed, which is what
+`--refresh` checks; it prints a diff for you to accept and never rewrites anything, because
+picking the wrong tier or context band would silently misprice future runs. A model no layer
+prices records its tokens and leaves report cost unavailable — never zero, which would read as
+free.
+
+> One consequence worth knowing: Codex's `max_usd` cap is enforced from these same rates, so an
+> unpriced model under Codex has no enforceable budget cap. Bound those runs with `max_turns`,
+> or pin the rates.
 
 `draft`, `improve`, `tasks`, and `ship` each drive a long autonomous agent. Every run writes a
 live `logs/acumen-<command>-<datetime>.jsonl` (one event per step, flushed as it goes — so you
diff --git a/src/acumen/_skills/data/references/benchmark.md b/src/acumen/_skills/data/references/benchmark.md
index 17c2813..48990fb 100644
--- a/src/acumen/_skills/data/references/benchmark.md
+++ b/src/acumen/_skills/data/references/benchmark.md
@@ -76,9 +76,23 @@ rates frozen into `price_rates` remain available for reproduction, including Cla
 five-minute and one-hour cache writes plus the legacy aggregate. A model with neither provider
 cost nor rates leaves `cost_available` false and `cost_usd` null. A run without rates leaves
 `inferred_cost_usd` null even when the provider supplied a value, so reports cannot mistake it
-for a free or cross-provider-comparable run. Inspect or re-check the rate table with `acumen
-prices` / `acumen prices --refresh`, and set `prices:` in `config.yaml` to price an unlisted
-model.
+for a free or cross-provider-comparable run.
+
+**No rates ship with the package.** They are read from the providers' pricing pages, because a
+compiled-in table is wrong from whatever date prices next move, and each run's cost is frozen
+when written rather than corrected later. `bench` resolves rates before it spends anything and
+exits 2 if the pages cannot be read. Each run records `price_source` (`config` or `fetched`) and
+`price_rates_as_of` next to the rates themselves, so passes months apart stay individually
+attributable and one report can mix them; the report flags arms priced on different dates, whose
+cost gap includes the price change rather than only the skill's effect.
+
+`draft`, `improve`, `tasks`, and `ship` also fetch, but degrade to unpriced rather than failing:
+their cost line is progress reporting. Note that Codex's `max_usd` is derived from these rates,
+so an unpriced Codex run has no enforceable budget cap — bound it with `max_turns`.
+
+Inspect today's rates with `acumen prices`. Set `prices:` in `config.yaml` to price a model the
+providers don't publish or to pin negotiated rates, which outrank a fetch; `acumen prices
+--refresh` reports pins that have drifted from the published price.
 
 Reports deliberately use `inferred_cost_usd` for every cost-per-run value and comparison, so
 Claude and Codex stay on the same pricing basis even when Claude supplies an SDK estimate. The
diff --git a/src/acumen/bench.py b/src/acumen/bench.py
index 2fe6235..60b8b8b 100644
--- a/src/acumen/bench.py
+++ b/src/acumen/bench.py
@@ -11,7 +11,7 @@
 from acumen.config import Config
 from acumen.env import AuthMode, Target
 from acumen.paths import SPLITS, RunKey, Split, arm_name, is_complete, run_dir
-from acumen.prices import Rates
+from acumen.prices import PriceTable
 from acumen.runner import RunOutcome, run_once
 from acumen.skills import Skill
 from acumen.tasks import Task
@@ -133,7 +133,7 @@ async def run_matrix(
     max_concurrency: int,
     auth_mode: AuthMode = "api",
     auth_modes: Mapping[AgentProvider, AuthMode] | None = None,
-    price_overrides: dict[str, Rates] | None = None,
+    prices: PriceTable | None = None,
     skill: Skill | None = None,
     skill_name: str | None = None,
     sandbox_base: Path | None = None,
@@ -163,7 +163,11 @@ async def run_matrix(
     auth_mode
         Which credential every run authenticates with. Under ``"session"``, the recorded
         Claude's SDK value is API-equivalent rather than necessarily metered spend;
-        Codex uses frozen-table token inference.
+        Codex uses token inference against ``prices``.
+    prices
+        The rates every run in this pass is priced by, and which each records alongside its
+        cost. One table for the whole matrix, resolved once before any spend, so a pass is
+        never priced by two different sets of numbers. Defaults to the built-in table.
     skill
         The skill every run in this matrix installs, or ``None`` for the baseline. One
         matrix is one arm, so this is a property of the pass rather than of a run.
@@ -223,7 +227,7 @@ async def one(item: PlannedRun) -> RunOutcome | None:
                 keep_sandbox=keep_sandbox,
                 stderr=stderr,
                 env_passthrough=env_passthrough,
-                price_overrides=price_overrides,
+                prices=prices,
             )
             if on_done is not None:
                 on_done(outcome)
diff --git a/src/acumen/cli.py b/src/acumen/cli.py
index a9f39aa..76348ed 100644
--- a/src/acumen/cli.py
+++ b/src/acumen/cli.py
@@ -24,11 +24,12 @@
     PRICE_TIER,
     PriceFeedError,
     diff_rates,
+    fetch_table,
     refresh,
-    shipped_rates,
     to_yaml_block,
+    try_fetch_table,
 )
-from acumen.prices import DEFAULT_RATES, RATES_AS_OF, Rates, resolve_rates
+from acumen.prices import PriceTable, Rates
 from acumen.report import ReportError, build_report
 from acumen.runner import RunOutcome, StderrFilter
 from acumen.scaffold import InitError, is_scaffold_tasks, scaffold
@@ -121,21 +122,55 @@ def _warn_codex_accounting(provider: AgentProvider) -> None:
         )
 
 
-def _warn_unpriced(models: set[str], overrides: dict[str, Rates]) -> None:
+def _warn_unpriced(models: set[str], prices: PriceTable) -> None:
     """Name models with no rates before the spend, not after.
 
     An unpriced model still records its tokens; only ``cost_usd`` is left unset. Saying so
     up front is what stops a missing rate from reading as a free model in the report.
     """
-    unpriced = sorted(model for model in models if resolve_rates(model, overrides) is None)
+    unpriced = sorted(model for model in models if prices.lookup(model) is None)
     if unpriced:
         print(
-            f"note: no token rates for {', '.join(unpriced)} — these runs record tokens but no cost. "
-            f"Add a 'prices:' entry in config.yaml to price them (rates as of {RATES_AS_OF}).",
+            f"note: no token rates for {', '.join(unpriced)}. These runs record tokens but no "
+            "cost; add a 'prices:' entry in config.yaml to price them.",
             file=sys.stderr,
         )
 
 
+def _bench_prices(cfg: Config) -> PriceTable:
+    """Resolve the rates this pass will be priced by, before it spends anything.
+
+    Raises :class:`PriceFeedError` upward: cost is a headline metric of the report and is
+    frozen into every result, so a pass that cannot establish rates should not run.
+    """
+    for name, url in PRICE_SOURCES.items():
+        print(f"prices: fetching {name} ({url})", flush=True)
+    table = fetch_table(cfg.prices)
+    print(f"prices: {len(table.fetched)} model(s) resolved as of {table.fetched_as_of} ({PRICE_TIER})")
+    return table
+
+
+def _agent_prices(cfg: Config, *, model: str | None = None) -> PriceTable:
+    """Rates for one interactive agent command, degrading to unpriced if the pages are down.
+
+    Unlike a benchmark, these commands report cost as progress rather than storing it as
+    evidence, so a pricing outage should not stop the work. It is still said out loud, and
+    the Codex consequence is named: ``max_usd`` is enforced from these rates, so an
+    unpriced model has no budget cap at all.
+    """
+    table, failure = try_fetch_table(cfg.prices)
+    if failure is None:
+        return table
+    print(f"warning: could not fetch pricing ({failure}); this run reports no cost", file=sys.stderr)
+    if model is not None and provider_for_model(model) == "codex" and table.lookup(model) is None:
+        print(
+            f"warning: max_usd cannot be enforced for {model} without rates. Bound this run "
+            "with max_turns, or pin rates in config.yaml under 'prices:'.",
+            file=sys.stderr,
+        )
+    return table
+
+
 def _print_log_result(log: LiveLog) -> None:
     """Print where the rendered HTML log landed, once a run has finalized."""
     if log.html_rendered:
@@ -354,7 +389,20 @@ def _cmd_bench(args: argparse.Namespace) -> int:
             "rates, not metered spend; each run records its auth_mode",
             file=sys.stderr,
         )
-    _warn_unpriced({item.model for item in todo}, cfg.prices)
+    # Before the target is built and before any agent runs: an unreachable pricing page
+    # must cost nothing, and a pass must never be priced by a table it cannot date.
+    try:
+        prices = _bench_prices(cfg)
+    except PriceFeedError as err:
+        print(f"error: {err}", file=sys.stderr)
+        print(
+            "Each run's cost is frozen into its result, so a pass that cannot establish "
+            "rates would store figures nothing backs. Retry when the pages are reachable, "
+            "or pin rates with a 'prices:' block in config.yaml.",
+            file=sys.stderr,
+        )
+        return 2
+    _warn_unpriced({item.model for item in todo}, prices)
     print(f"preparing target {cfg.repo}@{cfg.ref} ...", flush=True)
     target = prepare_target(cfg, args.cache, refresh=args.refresh_target)
     print(f"target ready: {target.fingerprint} @ {target.commit[:8]} (venv {target.venv_dir})", flush=True)
@@ -384,7 +432,7 @@ def _cmd_bench(args: argparse.Namespace) -> int:
                     on_start=progress.on_start,
                     on_done=progress.on_done,
                     env_passthrough=cfg.env_passthrough,
-                    price_overrides=cfg.prices,
+                    prices=prices,
                 )
             )
             collected.extend(outcomes)
@@ -436,6 +484,7 @@ def _cmd_draft(args: argparse.Namespace) -> int:
         result = asyncio.run(
             draft_skill(
                 cfg=cfg,
+                prices=_agent_prices(cfg, model=cfg.draft_model),
                 target=target,
                 skills_root=args.skills,
                 auth_mode=auth_mode,
@@ -492,6 +541,7 @@ def _cmd_improve(args: argparse.Namespace) -> int:
         result = asyncio.run(
             improve_skill(
                 cfg=cfg,
+                prices=_agent_prices(cfg, model=cfg.improve_model),
                 target=target,
                 skills_root=args.skills,
                 runs_root=args.runs,
@@ -561,6 +611,7 @@ def _cmd_tasks(args: argparse.Namespace) -> int:
         result = asyncio.run(
             generate_tasks(
                 cfg=cfg,
+                prices=_agent_prices(cfg, model=cfg.tasks_model),
                 target=target,
                 out_path=out,
                 auth_mode=auth_mode,
@@ -613,6 +664,7 @@ def _cmd_ship(args: argparse.Namespace) -> int:
         result = asyncio.run(
             ship_skill(
                 cfg=cfg,
+                prices=_agent_prices(cfg, model=cfg.ship_model),
                 target=target,
                 skills_root=args.skills,
                 version=args.version,
@@ -679,41 +731,55 @@ def _cmd_init(args: argparse.Namespace) -> int:
 
 
 def _cmd_prices(args: argparse.Namespace) -> int:
-    """Show the token rates cost is computed from, and optionally re-check them upstream."""
+    """Show the rates cost is computed from, or check pinned rates against the pages.
+
+    Both modes read the providers' pages, since that is the only place rates come from.
+    ``--refresh`` differs in what it prints: the models whose published price disagrees
+    with a ``prices:`` pin in ``config.yaml``, which are the only rates that can drift
+    unnoticed once everything else is read live.
+    """
     overrides: dict[str, Rates] = {}
+    models: set[str] = set()
     if args.config.is_file():
-        overrides = load_config(args.config).prices
+        cfg = load_config(args.config)
+        overrides, models = cfg.prices, {m.strip().lower() for m in cfg.models}
+
+    for name, url in PRICE_SOURCES.items():
+        print(f"fetching {name}: {url}", flush=True)
+    try:
+        fetched = refresh(today=date.today())
+    except PriceFeedError as err:
+        print(f"error: {err}", file=sys.stderr)
+        return 2
 
     if not args.refresh:
-        print(f"rates (USD per million tokens), verified {RATES_AS_OF} — {PRICE_TIER}")
-        for model, rates in sorted({**DEFAULT_RATES, **overrides}.items()):
-            source = "config" if model in overrides else "built-in"
+        table = PriceTable(overrides=overrides, fetched=fetched, fetched_as_of=date.today().isoformat())
+        shown = sorted(set(fetched) | set(overrides)) if args.all else sorted(models | set(overrides))
+        print(f"\nrates (USD per million tokens) as of {table.fetched_as_of} — {PRICE_TIER}")
+        for model in shown:
+            found = table.lookup(model)
+            if found is None:
+                print(f"  {model:28} unpriced (not published; add it under 'prices:' to price it)")
+                continue
             print(
-                f"  {model:28} in ${rates.input:<7} cached ${rates.cached_input:<7} "
-                f"write ${rates.cache_write:<7} out ${rates.output:<7} ({source})"
+                f"  {model:28} in ${found.rates.input:<7} cached ${found.rates.cached_input:<7} "
+                f"write ${found.rates.cache_write:<7} out ${found.rates.output:<7} ({found.source})"
             )
-        print("\nre-check against the providers' pricing pages with: acumen prices --refresh")
+        if not args.all:
+            print(f"\n{len(fetched)} model(s) published in total; show them all with --all")
         return 0
 
-    for name, url in PRICE_SOURCES.items():
-        print(f"fetching {name}: {url}", flush=True)
-    fetched = refresh(today=date.today())
-
-    current = {**shipped_rates(), **overrides}
-    # Default to the models actually in play — the pages list every model each provider
-    # has ever sold, and a wall of irrelevant diffs is a wall nobody reads.
-    if not args.all:
-        relevant = set(current) | (
-            {m.strip().lower() for m in load_config(args.config).models} if args.config.is_file() else set()
-        )
-        fetched = {model: rates for model, rates in fetched.items() if model in relevant}
-    changes = diff_rates(current, fetched)
+    # Only pinned rates can disagree with a page: everything else is read live each run.
+    if not overrides:
+        print("\nno 'prices:' pins in config.yaml, so nothing can drift — rates are read live each run")
+        return 0
+    changes = diff_rates(overrides, {m: r for m, r in fetched.items() if m in overrides})
 
     if not changes:
-        print(f"\nup to date — {len(fetched)} model(s) match the table verified {RATES_AS_OF}")
+        print(f"\nup to date — all {len(overrides)} pinned rate(s) match what the providers publish")
         return 0
 
-    print(f"\n{len(changes)} change(s) against the table verified {RATES_AS_OF} ({PRICE_TIER}):")
+    print(f"\n{len(changes)} pinned rate(s) differ from the published price ({PRICE_TIER}):")
     for change in changes:
         print(change.describe())
 
@@ -722,10 +788,10 @@ def _cmd_prices(args: argparse.Namespace) -> int:
         args.out.write_text(block)
         print(f"\nwrote {args.out} — merge its 'prices:' block into config.yaml to adopt these")
     else:
-        print("\nadopt by adding to config.yaml (or re-run with --out PATH):\n")
+        print("\nadopt by updating config.yaml (or re-run with --out PATH):\n")
         print(block, end="")
-    # Nothing is applied automatically: a mis-parsed tier or context band would otherwise
-    # silently re-price every future run.
+    # Never applied automatically: a pin is a deliberate statement, and a mis-parsed tier
+    # or context band would otherwise overwrite it with a plausible wrong number.
     return 0
 
 
diff --git a/src/acumen/draft.py b/src/acumen/draft.py
index 02b8d3e..6deb900 100644
--- a/src/acumen/draft.py
+++ b/src/acumen/draft.py
@@ -21,7 +21,7 @@
 from acumen.config import Config
 from acumen.env import AuthMode, Target, build_agent_env
 from acumen.logs import LiveLog
-from acumen.prices import price_usage, pricer, resolve_cost
+from acumen.prices import PriceTable, price_usage, pricer, resolve_cost
 from acumen.procs import label_env, reap
 from acumen.prompts import draft_prompt
 from acumen.skills import (
@@ -70,6 +70,7 @@ async def draft_skill(
     target: Target,
     skills_root: Path,
     auth_mode: AuthMode = "session",
+    prices: PriceTable | None = None,
     model: str | None = None,
     max_turns: int | None = None,
     max_usd: float | None = None,
@@ -120,6 +121,7 @@ async def draft_skill(
         staging = work / version
         home = holder / "home"
         selected_model = model or cfg.draft_model
+        table = prices if prices is not None else PriceTable(overrides=cfg.prices)
         provider = provider_for_model(selected_model)
         config_dir = home / (".claude" if provider == "claude" else ".codex")
         for path in (staging, home, config_dir, home / "tmp"):
@@ -156,7 +158,7 @@ async def draft_skill(
             max_turns=max_turns,
             max_usd=max_usd,
             # Codex reports no billed figure, so a budget cap needs the run's own rate table.
-            price_usd=pricer(selected_model, cfg.prices),
+            price_usd=pricer(selected_model, table),
             # The drafter reads the target source; benchmark agents never do.
             read_dirs=(target.src_dir, target.venv_dir),
             write_dirs=(work,),
@@ -197,7 +199,12 @@ async def draft_skill(
             skill=skill,
             cost_usd=resolve_cost(
                 result.total_cost_usd,
-                price_usage(result.usage, model=selected_model, provider=result.provider, overrides=cfg.prices),
+                price_usage(
+                    result.usage,
+                    model=selected_model,
+                    provider=result.provider,
+                    prices=table,
+                ),
             ).cost_usd,
             turns=result.num_turns,
             log_jsonl=log.jsonl_path if log is not None else None,
diff --git a/src/acumen/improve.py b/src/acumen/improve.py
index 6215980..f64af0a 100644
--- a/src/acumen/improve.py
+++ b/src/acumen/improve.py
@@ -43,7 +43,7 @@
     arm_name,
     parse_run_dir,
 )
-from acumen.prices import price_usage, pricer, resolve_cost
+from acumen.prices import PriceTable, price_usage, pricer, resolve_cost
 from acumen.procs import label_env, reap
 from acumen.prompts import improve_prompt
 from acumen.skills import (
@@ -421,6 +421,7 @@ async def improve_skill(
     runs_root: Path,
     tasks: list[Task],
     auth_mode: AuthMode = "session",
+    prices: PriceTable | None = None,
     parent_version: str | None = None,
     model: str | None = None,
     max_turns: int | None = None,
@@ -488,6 +489,7 @@ async def improve_skill(
         rationale_path = work / "rationale.md"
         home = holder / "home"
         selected_model = model or cfg.improve_model
+        table = prices if prices is not None else PriceTable(overrides=cfg.prices)
         provider = provider_for_model(selected_model)
         config_dir = home / (".claude" if provider == "claude" else ".codex")
         for path in (work, home, config_dir, home / "tmp"):
@@ -530,7 +532,7 @@ async def improve_skill(
             max_turns=max_turns,
             max_usd=max_usd,
             # Codex reports no billed figure, so a budget cap needs the run's own rate table.
-            price_usd=pricer(selected_model, cfg.prices),
+            price_usd=pricer(selected_model, table),
             read_dirs=(target.venv_dir,),
             write_dirs=(work,),
             discover_skills=True,
@@ -581,7 +583,12 @@ async def improve_skill(
             parent=parent.version,
             cost_usd=resolve_cost(
                 result.total_cost_usd,
-                price_usage(result.usage, model=selected_model, provider=result.provider, overrides=cfg.prices),
+                price_usage(
+                    result.usage,
+                    model=selected_model,
+                    provider=result.provider,
+                    prices=table,
+                ),
             ).cost_usd,
             turns=result.num_turns,
             n_train_runs=len(train_runs),
diff --git a/src/acumen/pricefeed.py b/src/acumen/pricefeed.py
index b2b19b2..1df7017 100644
--- a/src/acumen/pricefeed.py
+++ b/src/acumen/pricefeed.py
@@ -1,20 +1,28 @@
-"""Refresh :data:`acumen.prices.DEFAULT_RATES` from the providers' own pricing pages.
+"""Read per-model token rates from the providers' own pricing pages.
 
-Rates drift — OpenAI cut one tier by 80% in July 2026, and Claude Sonnet 5's introductory
-rate expires 2026-08-31 — so a table baked into a release goes stale on its own. This
-module fetches both providers' published prices and reports what changed.
+This is where acumen's rates come from. Nothing is compiled into the package: prices drift
+— OpenAI cut one tier by 80% in July 2026, and Claude Sonnet 5's introductory rate expires
+2026-08-31 — so a baked-in table is wrong from some date nobody notices, and since each
+run's cost is frozen when it is written, that wrongness is stored rather than outgrown.
 
-**This runs on request, never during a benchmark.** ``acumen bench`` reads the frozen
-table and touches the network only to run agents. Three reasons that separation is
-deliberate rather than timid:
+Two callers, with deliberately different failure behaviour:
 
-- A benchmark that re-prices itself from a live page is not reproducible, and one that
-  fails because a docs site moved is worse than one using a table labelled with its age.
-- Parsing has to choose a tier (standard, not batch/flex/fast), a context band (short —
-  the long-context band is priced ~2x and its threshold is not stated per model), and,
-  for dated rows, which side of the date we are on. Each is a place a silent mis-parse
-  yields a plausible wrong number, and cost is a headline metric of the report.
-- So the output is a **diff for a human to accept**, not an overwrite.
+- ``acumen bench`` calls :func:`fetch_table` before it spends anything and **fails the
+  pass** if the pages cannot be read. Cost is a headline metric of the report and is
+  frozen into every result, so a benchmark that cannot establish rates has not earned the
+  numbers it would print.
+- ``draft``, ``improve``, ``tasks`` and ``ship`` call :func:`try_fetch_table`, which
+  **degrades to unpriced**. Their dollar figure is progress reporting for one interactive
+  run, not stored evidence, so losing it is worth less than losing the run.
+
+Live rates do not make a pass unreproducible: each run records the rates it used, their
+source, and their date (:func:`~acumen.prices.price_provenance`), and nothing re-prices a
+stored result afterwards.
+
+Parsing has to choose a tier (standard, not batch/flex/fast), a context band (short — the
+long-context band is priced ~2x and its threshold is not stated per model), and, for dated
+rows, which side of the date we are on. Each is a place a silent mis-parse yields a
+plausible wrong number, which is why the parsers raise rather than return partial tables.
 
 Both providers publish Markdown alongside their HTML, which is what makes this tractable:
 these are documented tables, not scraped page furniture.
@@ -28,7 +36,7 @@
 from dataclasses import dataclass
 from datetime import date, datetime
 
-from acumen.prices import DEFAULT_RATES, Rates
+from acumen.prices import PriceTable, Rates
 
 #: The Markdown pricing pages. Both are the ``.md`` twin of the human docs page — append
 #: ``.md`` to a docs URL on either site.
@@ -225,17 +233,69 @@ def describe(self) -> str:
         return f"  ~ {self.model}: {', '.join(moved)}"
 
 
-def refresh(*, today: date, fetcher=fetch) -> dict[str, Rates]:
-    """Fetch and parse both providers' published rates."""
-    markdown = {name: fetcher(url) for name, url in PRICE_SOURCES.items()}
+def refresh(*, today: date, fetcher=None) -> dict[str, Rates]:
+    """Fetch and parse both providers' published rates.
+
+    ``fetcher`` defaults to :func:`fetch` at call time rather than in the signature, so a
+    test can replace the module's one network primitive and have every caller honour it.
+    """
+    get = fetcher or fetch
+    markdown = {name: get(url) for name, url in PRICE_SOURCES.items()}
     return {**parse_anthropic(markdown["anthropic"], today=today), **parse_openai(markdown["openai"])}
 
 
+def fetch_table(
+    overrides: dict[str, Rates] | None = None,
+    *,
+    today: date | None = None,
+    fetcher=None,
+) -> PriceTable:
+    """The rate table a benchmark prices itself by, resolved against the live pages.
+
+    Raises :class:`PriceFeedError` if either page cannot be fetched or parsed. There is
+    nothing to fall back to by design, and a benchmark blocked on a docs-site outage is
+    recoverable in a way a stored cost that is quietly wrong is not.
+    """
+    when = today or date.today()
+    return PriceTable(
+        overrides=dict(overrides or {}),
+        fetched=refresh(today=when, fetcher=fetcher),
+        fetched_as_of=when.isoformat(),
+    )
+
+
+def try_fetch_table(
+    overrides: dict[str, Rates] | None = None,
+    *,
+    today: date | None = None,
+    fetcher=None,
+) -> tuple[PriceTable, str | None]:
+    """:func:`fetch_table`, degraded to config-only rates instead of raising.
+
+    Returns the table and, when the fetch failed, the reason — callers are expected to
+    surface it, since the visible consequence is a run reporting no cost. For the
+    interactive commands that is an acceptable trade: their cost line is progress
+    reporting, and refusing to draft a skill because a pricing page is down would be
+    stopping the work over a number nobody is depending on.
+
+    The caveat callers must weigh: an unpriced model cannot have a ``max_usd`` cap
+    enforced against it under Codex, whose budget cap is derived from these same rates.
+    """
+    try:
+        return fetch_table(overrides, today=today, fetcher=fetcher), None
+    except PriceFeedError as err:
+        return PriceTable(overrides=dict(overrides or {})), str(err)
+
+
 def diff_rates(current: dict[str, Rates], fetched: dict[str, Rates]) -> list[RateChange]:
     """Models whose published rates differ from ``current``, plus ones it doesn't cover.
 
-    Only models present in the fetch are reported: a model missing from the page has been
-    retired or renamed, which is not something to silently drop from a working table.
+    ``current`` is the operator's pinned ``prices:`` block: those are the only rates that
+    can silently disagree with a provider, since everything else is read live. A pin that
+    has drifted from the published price is worth seeing before the next pass uses it.
+
+    Only models present in the fetch are reported: a pin for a model that is no longer
+    published may well be deliberate, and is not something to nag about.
     """
     changes = [
         RateChange(model=model, before=current.get(model), after=rates)
@@ -259,8 +319,3 @@ def to_yaml_block(rates: dict[str, Rates]) -> str:
             lines.append(f"    cache_write_1h: {rate.cache_write_1h}")
         lines.append(f"    output: {rate.output}")
     return "\n".join(lines) + "\n"
-
-
-def shipped_rates() -> dict[str, Rates]:
-    """The table a refresh is compared against."""
-    return dict(DEFAULT_RATES)
diff --git a/src/acumen/prices.py b/src/acumen/prices.py
index 9fa62f2..dd291b7 100644
--- a/src/acumen/prices.py
+++ b/src/acumen/prices.py
@@ -2,10 +2,10 @@
 
 The Claude SDK reports an API-equivalent dollar cost while ``codex exec`` reports none.
 Acumen therefore preserves two measurements: the provider value when one exists and a
-reproducible inference from this frozen rate table. The provider value is canonical;
-inference is the fallback and remains alongside it for comparison.
+reproducible inference from a rate table. The provider value is canonical; inference is
+the fallback and remains alongside it for comparison.
 
-Two properties this design depends on:
+Three properties this design depends on:
 
 **The breakdown must survive.** Cached input is billed at a tenth of the base rate and
 cache writes at 1.25x, so collapsing reads, writes, and fresh input into a single
@@ -17,24 +17,26 @@
 against a July one must not silently re-price the old one. :func:`price_run` is called
 once, when the run finishes, and the rates it used are written into ``result.json``
 beside the figure they produced.
+
+**What was frozen must have been right when it froze.** Freezing is only worth doing if
+the rates were current at the time, so this module ships **no rate table of its own**.
+Rates come from the providers' live pricing pages (see :mod:`acumen.pricefeed`) or from
+the operator's ``prices:`` config, assembled into a :class:`PriceTable`. A baked-in table
+would only ever be right on the day it was written, and a wrong rate that has been frozen
+into a result is indistinguishable from a right one unless the provenance travels with it
+— so each run records where its rates came from and how old they were.
+
+A model no layer prices is recorded **unpriced**, which is a first-class state throughout:
+``cost_usd`` is ``None``, never ``0.0``, and reports show it as unknown rather than free.
 """
 
 from __future__ import annotations
 
+import re
 from collections.abc import Callable
-from dataclasses import asdict, dataclass
+from dataclasses import asdict, dataclass, field
 from typing import Any
 
-#: The date :data:`DEFAULT_RATES` was last verified against each provider's own pricing
-#: page. Shown in the report so a stale table is visible rather than assumed current.
-RATES_AS_OF = "2026-08-03"
-
-#: Where the numbers came from, for the next person who has to re-verify them.
-RATE_SOURCES = (
-    "https://platform.claude.com/docs/en/pricing",
-    "https://developers.openai.com/api/docs/pricing",
-)
-
 
 @dataclass(frozen=True)
 class Rates:
@@ -97,58 +99,81 @@ def from_mapping(cls, value: Any, *, model: str) -> Rates:
 _CENTS = 6
 
 
-def _rates(
-    input_: float,
-    output: float,
-    *,
-    cached: float | None = None,
-    write: float | None = None,
-    split_writes: bool = False,
-) -> Rates:
-    """Both providers price cache reads at 0.1x input and writes at 1.25x."""
-    write_rate = round(input_ * 1.25, _CENTS) if write is None else write
-    return Rates(
-        input=input_,
-        cached_input=round(input_ * 0.1, _CENTS) if cached is None else cached,
-        cache_write=write_rate,
-        output=output,
-        cache_write_5m=write_rate if split_writes else None,
-        cache_write_1h=round(input_ * 2, _CENTS) if split_writes else None,
-    )
+#: A trailing dated-snapshot suffix, e.g. the ``-20251001`` of ``claude-haiku-4-5-20251001``.
+_SNAPSHOT = re.compile(r"-\d{8}$")
+
+
+def _keys(model: str) -> tuple[str, ...]:
+    """The forms ``model`` may be keyed under, most specific first.
+
+    Two normalizations, each covering a way the same model gets named differently:
+
+    - A provider-qualified ID (``openai/gpt-5.6-sol``) falls back to its bare form, which
+      keeps proxy and gateway configurations priceable.
+    - A dated snapshot (``claude-haiku-4-5-20251001``) falls back to its family
+      (``claude-haiku-4-5``). Providers publish one rate per family and pin the snapshot
+      for reproducibility, so the pages never list the dated ID that a benchmark pins to.
+      Without this, pinning a snapshot — which is the right thing to do — would silently
+      leave every run unpriced.
+    """
+    bare = model.rsplit("/", 1)[-1].strip().lower()
+    return tuple(dict.fromkeys((model, model.strip().lower(), bare, _SNAPSHOT.sub("", bare))))
+
+
+#: Rate provenance, most authoritative first. ``config`` is a deliberate operator
+#: statement about their own billing and outranks a published page; ``fetched`` is what
+#: the provider published on the day of the run.
+CONFIG, FETCHED = "config", "fetched"
+
 
+@dataclass(frozen=True)
+class RateLookup:
+    """One model's rates together with where they came from and how current they are.
 
-#: USD per million tokens, verified :data:`RATES_AS_OF` against :data:`RATE_SOURCES`.
-#: Override or extend from ``config.yaml`` (``prices:``) rather than editing this — a
-#: model missing here is recorded unpriced, never guessed at.
-DEFAULT_RATES: dict[str, Rates] = {
-    # Anthropic. Sonnet 5 carries an introductory rate through 2026-08-31; the standard
-    # $3/$15 resumes after it, so re-verify this row rather than trusting it past then.
-    "claude-opus-5": _rates(5.00, 25.00, split_writes=True),
-    "claude-opus-4-8": _rates(5.00, 25.00, split_writes=True),
-    "claude-opus-4-7": _rates(5.00, 25.00, split_writes=True),
-    "claude-sonnet-5": _rates(2.00, 10.00, split_writes=True),
-    "claude-sonnet-4-6": _rates(3.00, 15.00, split_writes=True),
-    "claude-haiku-4-5": _rates(1.00, 5.00, split_writes=True),
-    "claude-haiku-4-5-20251001": _rates(1.00, 5.00, split_writes=True),
-    # OpenAI.
-    "gpt-5.6-sol": _rates(5.00, 30.00),
-    "gpt-5.6-terra": _rates(2.00, 12.00),
-    "gpt-5.6-luna": _rates(0.20, 1.20),
-}
-
-
-def resolve_rates(model: str, overrides: dict[str, Rates] | None = None) -> Rates | None:
-    """Find the rates for ``model``, or ``None`` if it is not priced.
-
-    Config overrides win over the built-in table, so an operator on negotiated rates or a
-    gateway can price their own traffic. A provider-qualified ID (``openai/gpt-5.6-sol``)
-    falls back to its bare form, which keeps proxy configurations priceable.
+    ``as_of`` is ``None`` for a ``config`` rate: an operator's own numbers carry no
+    verification date, and inventing one would claim currency nothing established.
     """
-    for table in (overrides or {}, DEFAULT_RATES):
-        for key in (model, model.strip().lower(), model.rsplit("/", 1)[-1].strip().lower()):
-            if key in table:
-                return table[key]
-    return None
+
+    rates: Rates
+    source: str
+    as_of: str | None
+
+
+@dataclass(frozen=True)
+class PriceTable:
+    """The rates one command prices its runs by.
+
+    Two layers: ``overrides`` from ``config.yaml``, then ``fetched`` from the providers'
+    live pricing pages. Config wins, because only the operator knows what they are
+    actually billed — a negotiated rate or a gateway's markup is not on any public page.
+
+    There is deliberately no third layer of built-in defaults. Published prices move, so a
+    table compiled into a release is wrong from some unknowable date onward, and because
+    each run's cost is frozen at write time that wrongness would be preserved rather than
+    corrected on the next run. An empty table prices nothing, which is the honest outcome
+    when no rates could be established.
+    """
+
+    overrides: dict[str, Rates] = field(default_factory=dict)
+    fetched: dict[str, Rates] = field(default_factory=dict)
+    fetched_as_of: str | None = None
+
+    def lookup(self, model: str) -> RateLookup | None:
+        """Resolve ``model`` through the layers, or ``None`` if no layer prices it."""
+        layers: tuple[tuple[str, dict[str, Rates], str | None], ...] = (
+            (CONFIG, self.overrides, None),
+            (FETCHED, self.fetched, self.fetched_as_of),
+        )
+        for source, table, as_of in layers:
+            for key in _keys(model):
+                if key in table:
+                    return RateLookup(rates=table[key], source=source, as_of=as_of)
+        return None
+
+    def rates(self, model: str) -> Rates | None:
+        """Just the rates, for callers that do not record provenance."""
+        found = self.lookup(model)
+        return None if found is None else found.rates
 
 
 @dataclass(frozen=True)
@@ -242,13 +267,14 @@ def price_usage(
     *,
     model: str,
     provider: str = "claude",
-    overrides: dict[str, Rates] | None = None,
+    prices: PriceTable | None = None,
 ) -> float | None:
-    """Price a provider usage payload through the shared model-rate table."""
-    return price_run(normalize_usage(usage, provider=provider), resolve_rates(model, overrides))
+    """Price a provider usage payload through ``prices``, or the built-in table."""
+    rates = (prices or PriceTable()).rates(model)
+    return price_run(normalize_usage(usage, provider=provider), rates)
 
 
-def pricer(model: str, overrides: dict[str, Rates] | None = None) -> Callable[[dict], float | None]:
+def pricer(model: str, prices: PriceTable | None = None) -> Callable[[dict], float | None]:
     """A usage→USD hook for a provider that reports no billed figure of its own.
 
     Codex cannot enforce a budget cap without one: it reports tokens, so the cap has to be
@@ -256,7 +282,7 @@ def pricer(model: str, overrides: dict[str, Rates] | None = None) -> Callable[[d
     could be stopped at a budget it is not billed against. Returns ``None`` for an unpriced
     model, which callers must read as "no cap can be enforced", never as "free".
     """
-    return lambda usage: price_usage(usage, model=model, provider="codex", overrides=overrides)
+    return lambda usage: price_usage(usage, model=model, provider="codex", prices=prices)
 
 
 def price_run(usage: Usage, rates: Rates | None) -> float | None:
@@ -327,3 +353,18 @@ def resolve_cost(provider_cost_usd: float | None, inferred_cost_usd: float | Non
 def rates_payload(rates: Rates | None) -> dict[str, float] | None:
     """The rates as they go into ``result.json`` — the run's frozen price provenance."""
     return None if rates is None else asdict(rates)
+
+
+def price_provenance(lookup: RateLookup | None) -> dict[str, Any]:
+    """The ``result.json`` fields describing what a run was priced by.
+
+    Recorded per run rather than per pass because a matrix can mix models across layers:
+    one on negotiated config rates, another on what the page published that morning.
+    Without the source and date, two runs months apart are indistinguishable from two
+    priced by the same stale table, which is the whole reason for freezing rates at all.
+    """
+    return {
+        "price_rates": rates_payload(None if lookup is None else lookup.rates),
+        "price_source": None if lookup is None else lookup.source,
+        "price_rates_as_of": None if lookup is None else lookup.as_of,
+    }
diff --git a/src/acumen/report.py b/src/acumen/report.py
index eb7803e..a079db2 100644
--- a/src/acumen/report.py
+++ b/src/acumen/report.py
@@ -1443,6 +1443,32 @@ def n_runs(self) -> int:
         return len(self.results)
 
 
+def _price_date_note(df: pd.DataFrame) -> str | None:
+    """Warn when the arms being compared were priced on different days.
+
+    Rates are resolved live and frozen per run, which keeps each figure true to what it
+    cost — but it also means arms benchmarked weeks apart carry different prices. The cost
+    comparison between them then mixes a skill effect with a price change, and the cheaper
+    arm may simply be the one that ran before a rise. Nothing here can separate the two,
+    so the report says so and leaves the reader to judge.
+
+    Only differences *between* arms are flagged. Resuming one arm across a price change
+    spreads the same ambiguity within it, which the per-run table already exposes.
+    """
+    if "price_rates_as_of" not in df.columns or "arm" not in df.columns:
+        return None
+    dated = df[df["price_rates_as_of"].notna()]
+    per_arm = {arm: set(group["price_rates_as_of"]) for arm, group in dated.groupby("arm")}
+    seen = set().union(*per_arm.values()) if per_arm else set()
+    if len(per_arm) < 2 or len(seen) < 2:
+        return None
+    spread = ", ".join(f"{arm_label(arm)} priced {'/'.join(sorted(dates))}" for arm, dates in sorted(per_arm.items()))
+    return (
+        f"arms were priced on different dates ({spread}); cost differences between them "
+        "include any change in provider pricing, not only the skill's effect"
+    )
+
+
 def _integrity_notes(df: pd.DataFrame) -> list[str]:
     """Flag arms whose ``skill_loaded`` disagrees with what the arm name claims.
 
@@ -1453,6 +1479,8 @@ def _integrity_notes(df: pd.DataFrame) -> list[str]:
 
     Occasional misses are normal and the per-run table already marks them, so a skill arm is
     only flagged once fewer than half its runs loaded the skill.
+
+    Cost carries its own comparability hazard, handled by :func:`_price_date_note`.
     """
     notes = []
     unpriced = int(df[_REPORT_COST_COLUMN].isna().sum())
@@ -1461,6 +1489,9 @@ def _integrity_notes(df: pd.DataFrame) -> list[str]:
             f"cost unavailable for {unpriced}/{len(df)} runs; cost charts and comparisons omit "
             "groups containing unpriced runs"
         )
+    price_dates = _price_date_note(df)
+    if price_dates is not None:
+        notes.append(price_dates)
     if "skill_loaded" not in df.columns:
         return notes
     for arm in _arms_in_order(df):
diff --git a/src/acumen/runner.py b/src/acumen/runner.py
index 472b8c1..4c4abc9 100644
--- a/src/acumen/runner.py
+++ b/src/acumen/runner.py
@@ -26,7 +26,7 @@
     TRANSCRIPT_JSONL,
     RunKey,
 )
-from acumen.prices import Rates, normalize_usage, price_run, pricer, rates_payload, resolve_cost, resolve_rates
+from acumen.prices import PriceTable, normalize_usage, price_provenance, price_run, pricer, resolve_cost
 from acumen.prompts import benchmark_prompt
 from acumen.sandbox import Sandbox, sandbox
 from acumen.skills import Skill
@@ -205,7 +205,7 @@ def _build_options(
     max_turns: int,
     max_usd: float,
     read_dirs: tuple[Path, ...] = (),
-    price_overrides: dict[str, Rates] | None = None,
+    prices: PriceTable | None = None,
     stderr: Callable[[str], None] | None = None,
 ) -> AgentOptions:
     """Assemble the SDK options for one run.
@@ -233,7 +233,7 @@ def _build_options(
         max_turns=max_turns,
         max_usd=max_usd,
         discover_skills=True,
-        price_usd=pricer(model, price_overrides),
+        price_usd=pricer(model, prices),
         read_dirs=read_dirs,
         stderr=stderr,
     )
@@ -255,7 +255,7 @@ async def run_once(
     keep_sandbox: bool = False,
     stderr: Callable[[str], None] | None = None,
     env_passthrough: Sequence[str] | None = None,
-    price_overrides: dict[str, Rates] | None = None,
+    prices: PriceTable | None = None,
 ) -> RunOutcome:
     """Execute one benchmark run end to end and write its ``result.json``.
 
@@ -333,7 +333,7 @@ async def run_once(
             max_turns=max_turns,
             max_usd=max_usd,
             read_dirs=(target.venv_dir,),
-            price_overrides=price_overrides,
+            prices=prices,
             stderr=stderr,
         )
         try:
@@ -375,8 +375,8 @@ async def run_once(
     # Preserve frozen-table inference for both providers, but prefer the SDK's value when it
     # exists. For session authentication that provider figure is API-equivalent, not
     # necessarily money charged on an invoice.
-    rates = resolve_rates(model, price_overrides)
-    inferred = price_run(usage, rates)
+    lookup = (prices or PriceTable()).lookup(model)
+    inferred = price_run(usage, None if lookup is None else lookup.rates)
     provider_cost = result.total_cost_usd if result else None
     cost = resolve_cost(provider_cost, inferred)
     payload = {
@@ -405,7 +405,7 @@ async def run_once(
         "inferred_cost_usd": cost.inferred_cost_usd,
         "cost_delta_usd": cost.cost_delta_usd,
         "cost_delta_pct": cost.cost_delta_pct,
-        "price_rates": rates_payload(rates),
+        **price_provenance(lookup),
         "input_tokens": usage.input,
         "output_tokens": usage.output,
         "cache_read_tokens": usage.cache_read,
diff --git a/src/acumen/ship.py b/src/acumen/ship.py
index e23aceb..54ae45d 100644
--- a/src/acumen/ship.py
+++ b/src/acumen/ship.py
@@ -45,7 +45,7 @@
     seed_credentials,
 )
 from acumen.logs import LiveLog
-from acumen.prices import price_usage, pricer, resolve_cost
+from acumen.prices import PriceTable, price_usage, pricer, resolve_cost
 from acumen.procs import label_env, reap
 from acumen.prompts import ship_prompt
 from acumen.skills import Skill, content_files, load_skill
@@ -203,6 +203,7 @@ async def ship_skill(
     skills_root: Path,
     version: str,
     auth_mode: AuthMode = "session",
+    prices: PriceTable | None = None,
     model: str | None = None,
     max_turns: int | None = None,
     max_usd: float | None = None,
@@ -256,6 +257,7 @@ async def ship_skill(
     try:
         skill_src = _stage_skill_payload(skill, holder / "skill")
         selected_model = model or cfg.ship_model
+        table = prices if prices is not None else PriceTable(overrides=cfg.prices)
         provider = provider_for_model(selected_model)
         home = holder / "home"
         config_dir = home / (".claude" if provider == "claude" else ".codex")
@@ -285,7 +287,7 @@ async def ship_skill(
             max_turns=max_turns,
             max_usd=max_usd,
             # Codex reports no billed figure, so a budget cap needs the run's own rate table.
-            price_usd=pricer(selected_model, cfg.prices),
+            price_usd=pricer(selected_model, table),
             # It reads the staged skill payload to copy into the wheel.
             read_dirs=(skill_src, target.venv_dir),
             write_dirs=(target.src_dir, holder),
@@ -322,7 +324,12 @@ async def ship_skill(
             summary=result.result or "",
             cost_usd=resolve_cost(
                 result.total_cost_usd,
-                price_usage(result.usage, model=selected_model, provider=result.provider, overrides=cfg.prices),
+                price_usage(
+                    result.usage,
+                    model=selected_model,
+                    provider=result.provider,
+                    prices=table,
+                ),
             ).cost_usd,
             turns=result.num_turns,
             log_jsonl=log.jsonl_path if log is not None else None,
diff --git a/src/acumen/taskgen.py b/src/acumen/taskgen.py
index 12016c3..0c0e264 100644
--- a/src/acumen/taskgen.py
+++ b/src/acumen/taskgen.py
@@ -46,7 +46,7 @@
 from acumen.config import Config
 from acumen.env import AuthMode, Target, build_agent_env
 from acumen.logs import LiveLog
-from acumen.prices import price_usage, pricer, resolve_cost
+from acumen.prices import PriceTable, price_usage, pricer, resolve_cost
 from acumen.procs import label_env, reap
 from acumen.prompts import taskgen_prompt
 from acumen.tasks import Task, TaskError, load_tasks
@@ -290,6 +290,7 @@ async def generate_tasks(
     target: Target,
     out_path: Path,
     auth_mode: AuthMode = "session",
+    prices: PriceTable | None = None,
     model: str | None = None,
     max_turns: int | None = None,
     max_usd: float | None = None,
@@ -343,6 +344,7 @@ async def generate_tasks(
         work = holder / "work"
         home = holder / "home"
         selected_model = model or cfg.tasks_model
+        table = prices if prices is not None else PriceTable(overrides=cfg.prices)
         provider = provider_for_model(selected_model)
         config_dir = home / (".claude" if provider == "claude" else ".codex")
         for path in (work, home, config_dir, home / "tmp"):
@@ -381,7 +383,7 @@ async def generate_tasks(
             max_turns=max_turns,
             max_usd=max_usd,
             # Codex reports no billed figure, so a budget cap needs the run's own rate table.
-            price_usd=pricer(selected_model, cfg.prices),
+            price_usd=pricer(selected_model, table),
             # The generator reads the target source, like the drafter; benchmark agents
             # never do. It points at the *filtered* copy, not the real checkout.
             read_dirs=(source_copy, target.venv_dir),
@@ -431,7 +433,12 @@ async def generate_tasks(
             out_path=out_path,
             cost_usd=resolve_cost(
                 result.total_cost_usd,
-                price_usage(result.usage, model=selected_model, provider=result.provider, overrides=cfg.prices),
+                price_usage(
+                    result.usage,
+                    model=selected_model,
+                    provider=result.provider,
+                    prices=table,
+                ),
             ).cost_usd,
             turns=result.num_turns,
             log_jsonl=log.jsonl_path if log is not None else None,
diff --git a/tests/conftest.py b/tests/conftest.py
index 842678a..df56c6a 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -50,6 +50,23 @@
 MODEL = "claude-haiku-4-5-20251001"
 
 
+@pytest.fixture(autouse=True)
+def no_price_fetch(monkeypatch: pytest.MonkeyPatch) -> None:
+    """Keep the suite honestly offline now that rates are only ever read live.
+
+    No rates ship with the package, so any command that prices anything reaches for the
+    providers' pricing pages. Without this a test would pass or fail on whether the
+    machine happened to have a network. Failing loudly instead forces each such test to
+    state which rates it means to run against, via the ``stub_prices`` fixture or its own
+    patch of ``pricefeed.refresh``.
+    """
+
+    def unavailable(url, **_kwargs):
+        raise AssertionError(f"test reached the network for {url}; stub the pricing fetch instead")
+
+    monkeypatch.setattr("acumen.pricefeed.fetch", unavailable)
+
+
 @pytest.fixture
 def target_pkg(tmp_path: Path) -> Path:
     """A minimal local package, so a config's local ``repo:`` path resolves."""
diff --git a/tests/test_cli.py b/tests/test_cli.py
index 8700dcc..cd26e90 100644
--- a/tests/test_cli.py
+++ b/tests/test_cli.py
@@ -9,16 +9,18 @@
 from __future__ import annotations
 
 import csv
+from datetime import date
 from pathlib import Path
 
 import pytest
 
 from acumen.bench import BenchmarkInvalidError
-from acumen.cli import _Progress, build_parser, main
+from acumen.cli import _agent_prices, _Progress, build_parser, main
 from acumen.config import load_config
 from acumen.env import Target
 from acumen.paths import RunKey
-from acumen.prices import RATES_AS_OF
+from acumen.pricefeed import PriceFeedError
+from acumen.prices import Rates
 from acumen.runner import RunOutcome
 from acumen.tasks import load_tasks
 
@@ -39,6 +41,18 @@ def bench_args(project: Path, *extra: str) -> list[str]:
     ]
 
 
+@pytest.fixture
+def stub_prices(monkeypatch: pytest.MonkeyPatch) -> dict[str, Rates]:
+    """Stand in for the live pricing pages, which ``bench`` reads before every pass.
+
+    Returns the fetched table so a test can assert on what the pass was priced by, or
+    mutate it to model a price change between passes.
+    """
+    fetched = {"claude-haiku-4-5-20251001": Rates(input=1.0, cached_input=0.1, cache_write=1.25, output=5.0)}
+    monkeypatch.setattr("acumen.pricefeed.refresh", lambda **_kwargs: fetched)
+    return fetched
+
+
 def test_parser_requires_a_command() -> None:
     with pytest.raises(SystemExit):
         build_parser().parse_args([])
@@ -230,7 +244,12 @@ def test_bench_reports_a_missing_config(tmp_path: Path, capsys: pytest.CaptureFi
 
 
 def test_bench_runs_every_arm_when_none_is_selected(
-    project: Path, skills_root: Path, model: str, monkeypatch: pytest.MonkeyPatch, capsys: pytest.CaptureFixture
+    project: Path,
+    skills_root: Path,
+    model: str,
+    monkeypatch: pytest.MonkeyPatch,
+    capsys: pytest.CaptureFixture,
+    stub_prices,
 ) -> None:
     seen: list[tuple[str | None, int]] = []
 
@@ -267,7 +286,7 @@ async def fake_matrix(todo, **kwargs) -> list[RunOutcome]:
 
 
 def test_bench_runs_only_the_named_arm(
-    project: Path, skills_root: Path, monkeypatch: pytest.MonkeyPatch, capsys: pytest.CaptureFixture
+    project: Path, skills_root: Path, monkeypatch: pytest.MonkeyPatch, capsys: pytest.CaptureFixture, stub_prices
 ) -> None:
     seen: list[str | None] = []
 
@@ -299,7 +318,7 @@ async def fake_matrix(todo, **kwargs) -> list[RunOutcome]:
 
 
 def test_bench_exits_nonzero_and_prints_provider_exhaustion(
-    project: Path, model: str, monkeypatch: pytest.MonkeyPatch, capsys: pytest.CaptureFixture
+    project: Path, model: str, monkeypatch: pytest.MonkeyPatch, capsys: pytest.CaptureFixture, stub_prices
 ) -> None:
     key = RunKey(arm="noskill", split="test", model=model, task_id="example_task", rep=1)
     outcome = RunOutcome(
@@ -441,11 +460,176 @@ def test_ship_rejects_an_unknown_version(project: Path, skills_root: Path, capsy
     assert "no such skill version" in capsys.readouterr().err
 
 
-def test_prices_lists_the_rate_table_without_touching_the_network(
-    tmp_path: Path, capsys: pytest.CaptureFixture[str]
+def test_prices_reads_the_live_pages_because_nothing_ships_with_the_package(
+    project: Path, monkeypatch: pytest.MonkeyPatch, capsys: pytest.CaptureFixture[str]
+) -> None:
+    """There is no offline view to show: rates exist only on the providers' pages."""
+    fetched = {
+        "claude-haiku-4-5-20251001": Rates(input=1.0, cached_input=0.1, cache_write=1.25, output=5.0),
+        "gpt-5.6-sol": Rates(input=5.0, cached_input=0.5, cache_write=6.25, output=30.0),
+    }
+    monkeypatch.setattr("acumen.cli.refresh", lambda **_kwargs: fetched)
+
+    assert main(["prices", "--config", str(project / "config.yaml")]) == 0
+
+    out = capsys.readouterr().out
+    assert "claude-haiku-4-5-20251001" in out and "(fetched)" in out
+    assert date.today().isoformat() in out
+
+
+def test_prices_exits_nonzero_when_the_pages_cannot_be_read(
+    tmp_path: Path, monkeypatch: pytest.MonkeyPatch, capsys: pytest.CaptureFixture[str]
 ) -> None:
-    """`acumen prices` is the offline view; only --refresh reaches for the network."""
-    assert main(["prices", "--config", str(tmp_path / "absent.yaml")]) == 0
+    """With no shipped table there is nothing to print, so this is a failure, not a warning."""
+    monkeypatch.setattr(
+        "acumen.cli.refresh",
+        lambda **_kwargs: (_ for _ in ()).throw(PriceFeedError("could not fetch: timed out")),
+    )
+
+    assert main(["prices", "--config", str(tmp_path / "absent.yaml")]) == 2
+    assert "could not fetch" in capsys.readouterr().err
+
+
+def test_prices_refresh_flags_a_pin_that_has_drifted_from_the_published_price(
+    project: Path, monkeypatch: pytest.MonkeyPatch, capsys: pytest.CaptureFixture[str]
+) -> None:
+    """Pinned rates are the only ones that can go stale, so they are what --refresh checks."""
+    (project / "config.yaml").write_text(
+        (project / "config.yaml").read_text() + "prices:\n  gpt-5.6-sol:\n    input: 5.0\n    output: 30.0\n"
+    )
+    published = {"gpt-5.6-sol": Rates(input=8.0, cached_input=0.8, cache_write=10.0, output=48.0)}
+    monkeypatch.setattr("acumen.cli.refresh", lambda **_kwargs: published)
+
+    assert main(["prices", "--refresh", "--config", str(project / "config.yaml")]) == 0
+
     out = capsys.readouterr().out
-    assert "claude-opus-5" in out and "gpt-5.6-sol" in out
-    assert RATES_AS_OF in out
+    assert "1 pinned rate(s) differ" in out
+    assert "input $5.0→$8.0" in out
+
+
+def test_prices_refresh_says_nothing_can_drift_without_pins(
+    project: Path, monkeypatch: pytest.MonkeyPatch, capsys: pytest.CaptureFixture[str]
+) -> None:
+    """Unpinned rates are read live each run, so there is no drift to report."""
+    monkeypatch.setattr("acumen.cli.refresh", lambda **_kwargs: {})
+
+    assert main(["prices", "--refresh", "--config", str(project / "config.yaml")]) == 0
+    assert "nothing can drift" in capsys.readouterr().out
+
+
+def _stub_bench(project: Path, monkeypatch: pytest.MonkeyPatch, seen: list) -> None:
+    """Stand in for everything ``bench`` does after it has resolved its rates."""
+
+    async def fake_matrix(todo, **kwargs) -> list[RunOutcome]:
+        seen.append(kwargs["prices"])
+        return [
+            RunOutcome(key=item.key, success=True, reason="ok", payload={"cost_usd": 0.5, "skill_loaded": True})
+            for item in todo
+        ]
+
+    target = Target(
+        source="target",
+        ref="main",
+        src_dir=project / "src",
+        venv_dir=project / "venv",
+        commit="abc",
+        pkg_name="target",
+        pkg_version="1",
+    )
+    monkeypatch.setattr("acumen.cli.resolve_auth_mode", lambda *_a, **_k: "session")
+    monkeypatch.setattr("acumen.cli.check_agent_cli", lambda *_a, **_k: None)
+    monkeypatch.setattr("acumen.cli.prepare_target", lambda *_a, **_k: target)
+    monkeypatch.setattr("acumen.cli.run_matrix", fake_matrix)
+
+
+def test_bench_prices_its_runs_from_the_live_pages(
+    project: Path, skills_root: Path, monkeypatch: pytest.MonkeyPatch, capsys: pytest.CaptureFixture[str]
+) -> None:
+    """A pass takes its rates from what the providers publish on the day it runs.
+
+    Nothing ships with the package to fall back on, and the figure produced is frozen into
+    every result, so this fetch is the only thing standing between the report and a cost
+    column that means nothing.
+    """
+    fetched = {"claude-haiku-4-5-20251001": Rates(input=9.0, cached_input=0.9, cache_write=11.25, output=45.0)}
+    monkeypatch.setattr("acumen.pricefeed.refresh", lambda **_kwargs: fetched)
+    seen: list = []
+    _stub_bench(project, monkeypatch, seen)
+
+    assert main(bench_args(project)) == 0
+
+    assert seen and all(table is seen[0] for table in seen), "every arm must price by one table"
+    lookup = seen[0].lookup("claude-haiku-4-5-20251001")
+    assert lookup.rates.input == 9.0
+    assert lookup.source == "fetched"
+    assert lookup.as_of == date.today().isoformat()
+    assert "prices: 1 model(s) resolved" in capsys.readouterr().out
+
+
+def test_bench_refuses_to_run_when_the_pricing_pages_are_unreachable(
+    project: Path, skills_root: Path, monkeypatch: pytest.MonkeyPatch, capsys: pytest.CaptureFixture[str]
+) -> None:
+    """An unreachable feed stops the pass before it spends anything.
+
+    There is no table to fall back to, so continuing would store a run with no cost at all
+    while still charging for it — the benchmark would spend real money to produce a report
+    missing one of its headline columns.
+    """
+
+    def unreachable(**_kwargs):
+        raise PriceFeedError("could not fetch https://example.invalid: timed out")
+
+    monkeypatch.setattr("acumen.pricefeed.refresh", unreachable)
+    seen: list = []
+    _stub_bench(project, monkeypatch, seen)
+
+    assert main(bench_args(project)) == 2
+    assert seen == [], "no run may start once pricing is known to be unresolvable"
+    err = capsys.readouterr().err
+    assert "could not fetch" in err
+    assert "'prices:' block in config.yaml" in err, "the error must name the way forward"
+
+
+def test_bench_warns_when_a_benched_model_is_not_published(
+    project: Path, skills_root: Path, monkeypatch: pytest.MonkeyPatch, capsys: pytest.CaptureFixture[str]
+) -> None:
+    """A successful fetch that does not cover your model still leaves it unpriced.
+
+    The pass runs — tokens are still recorded — but it must say so before the spend rather
+    than let a blank cost column read as a free model afterwards.
+    """
+    monkeypatch.setattr("acumen.pricefeed.refresh", lambda **_kwargs: {"some-other-model": _RATE})
+    seen: list = []
+    _stub_bench(project, monkeypatch, seen)
+
+    assert main(bench_args(project)) == 0
+
+    assert seen[0].lookup("claude-haiku-4-5-20251001") is None
+    err = capsys.readouterr().err
+    assert "no token rates for claude-haiku-4-5-20251001" in err
+    assert "record tokens but no cost" in err
+
+
+_RATE = Rates(input=1.0, cached_input=0.1, cache_write=1.25, output=5.0)
+
+
+def test_agent_commands_keep_working_when_pricing_is_unavailable(
+    project: Path, monkeypatch: pytest.MonkeyPatch, capsys: pytest.CaptureFixture[str]
+) -> None:
+    """``draft`` and friends report cost as progress, so an outage must not stop the work.
+
+    It is still announced, and for Codex the real consequence is named: ``max_usd`` is
+    derived from these rates, so an unpriced model has no enforceable budget cap.
+    """
+    monkeypatch.setattr(
+        "acumen.pricefeed.refresh",
+        lambda **_kwargs: (_ for _ in ()).throw(PriceFeedError("could not fetch: timed out")),
+    )
+    cfg = load_config(project / "config.yaml")
+
+    table = _agent_prices(cfg, model="gpt-5.6-sol")
+
+    assert table.lookup("gpt-5.6-sol") is None, "unpriced, rather than guessed from a shipped default"
+    err = capsys.readouterr().err
+    assert "reports no cost" in err
+    assert "max_usd cannot be enforced" in err, "the Codex budget-cap consequence must be named"
diff --git a/tests/test_core.py b/tests/test_core.py
index 361a7f7..24d638b 100644
--- a/tests/test_core.py
+++ b/tests/test_core.py
@@ -56,17 +56,17 @@
 from acumen.improve import ImproveError, _write_material, collect_train_runs, load_rates
 from acumen.logs import LiveLog
 from acumen.paths import RunKey, arm_name, is_complete, parse_run_dir, run_dir
-from acumen.pricefeed import PriceFeedError, diff_rates, parse_anthropic, parse_openai
+from acumen.pricefeed import PriceFeedError, diff_rates, fetch_table, parse_anthropic, parse_openai
 from acumen.prices import (
-    DEFAULT_RATES,
+    PriceTable,
     Rates,
     Usage,
     normalize_usage,
+    price_provenance,
     price_run,
     price_usage,
     pricer,
     resolve_cost,
-    resolve_rates,
 )
 from acumen.procs import label_env, reap, supported, survivors
 from acumen.prompts import draft_prompt, feedback_block, improve_prompt
@@ -597,7 +597,11 @@ def test_codex_stops_at_the_budget_cap(tmp_path: Path) -> None:
         ],
     )
     # gpt-5.6-sol bills $5/M input, so a million fresh input tokens is $5 against a $1 cap.
-    options = _codex_options(tmp_path, max_usd=1.0, price_usd=pricer("gpt-5.6-sol"))
+    prices = PriceTable(
+        fetched={"gpt-5.6-sol": Rates(input=5.0, cached_input=0.5, cache_write=6.25, output=30.0)},
+        fetched_as_of="2026-08-04",
+    )
+    options = _codex_options(tmp_path, max_usd=1.0, price_usd=pricer("gpt-5.6-sol", prices))
     result = asyncio.run(run_agent("go", options=options))
 
     assert result.is_error
@@ -1062,8 +1066,7 @@ def test_price_run_bills_each_cache_class_at_its_own_rate() -> None:
     mostly cache reads, billed at a tenth of the base rate.
     """
     usage = Usage(input=200_000, cache_read=180_000, cache_write=15_000, output=4_000)
-    rates = resolve_rates("claude-opus-5")
-    assert rates is not None
+    rates = Rates(input=5.0, cached_input=0.5, cache_write=6.25, output=25.0)
     # 5k @ $5 + 180k @ $0.50 + 15k @ $6.25 + 4k @ $25, per million.
     assert price_run(usage, rates) == pytest.approx(0.30875)
     collapsed = (usage.input * rates.input + usage.output * rates.output) / 1_000_000
@@ -1071,10 +1074,15 @@ def test_price_run_bills_each_cache_class_at_its_own_rate() -> None:
 
 
 def test_price_usage_prices_codex_meta_agent_tokens_when_provider_cost_is_absent() -> None:
+    prices = PriceTable(
+        fetched={"gpt-5.6-sol": Rates(input=5.0, cached_input=0.5, cache_write=6.25, output=30.0)},
+        fetched_as_of="2026-08-04",
+    )
     cost = price_usage(
         {"input_tokens": 1_000_000, "cached_input_tokens": 0, "output_tokens": 1_000_000},
         model="gpt-5.6-sol",
         provider="codex",
+        prices=prices,
     )
 
     assert cost == pytest.approx(35.0)
@@ -1082,7 +1090,7 @@ def test_price_usage_prices_codex_meta_agent_tokens_when_provider_cost_is_absent
 
 def test_price_run_leaves_an_unpriced_model_unpriced_rather_than_free() -> None:
     """``None`` is not ``0.0`` — a model with no rates must not read as a free one."""
-    assert resolve_rates("some-local-llm") is None
+    assert PriceTable().lookup("some-local-llm") is None
     assert price_run(Usage(input=1, cache_read=0, cache_write=0, output=1), None) is None
 
 
@@ -1217,6 +1225,10 @@ def collect(_box: Sandbox, directory: Path) -> None:
             model="claude-opus-5",
             max_turns=5,
             max_usd=2.0,
+            prices=PriceTable(
+                fetched={"claude-opus-5": Rates(input=5.0, cached_input=0.5, cache_write=6.25, output=25.0)},
+                fetched_as_of="2026-08-04",
+            ),
         )
     )
 
@@ -1232,14 +1244,144 @@ def collect(_box: Sandbox, directory: Path) -> None:
     assert persisted["agent"] == "claude"
 
 
-def test_resolve_rates_accepts_provider_qualified_ids_and_config_overrides() -> None:
-    assert resolve_rates("openai/gpt-5.6-sol") == resolve_rates("gpt-5.6-sol")
-    assert resolve_rates("Claude-Opus-5") == resolve_rates("claude-opus-5")
+def test_price_table_matches_provider_qualified_and_differently_cased_ids() -> None:
+    """A gateway or proxy names the same model differently; it is still that model."""
+    published = Rates(input=7.0, cached_input=0.7, cache_write=8.75, output=35.0)
+    table = PriceTable(fetched={"gpt-5.6-sol": published}, fetched_as_of="2026-09-15")
+
+    assert table.rates("openai/gpt-5.6-sol") is published
+    assert table.rates("GPT-5.6-Sol") is published
+    assert table.lookup("no-such-model") is None
+
+
+def test_price_table_prices_a_dated_snapshot_at_its_family_rate() -> None:
+    """Providers publish one rate per family and never list the dated snapshot IDs.
+
+    Pinning a snapshot is the reproducible thing to do, and ``acumen init`` scaffolds one,
+    so without this fallback a default project would bench an entirely unpriced model.
+    """
+    published = Rates(input=1.0, cached_input=0.1, cache_write=1.25, output=5.0)
+    table = PriceTable(fetched={"claude-haiku-4-5": published}, fetched_as_of="2026-09-15")
+
+    assert table.rates("claude-haiku-4-5-20251001") is published
+    assert table.rates("anthropic/claude-haiku-4-5-20251001") is published
+    # A version suffix that is not a date is part of the name, not a snapshot.
+    assert table.lookup("claude-haiku-4-5-turbo") is None
+
+
+def test_price_table_ranks_config_over_fetched() -> None:
+    """A pinned rate is the operator stating what *they* are billed, which no page knows.
+
+    With nothing baked into the package, these are the only two sources there are: what
+    the provider publishes today, and what the operator says overrides it.
+    """
+    negotiated = Rates(input=1.0, cached_input=0.1, cache_write=1.25, output=2.0)
+    published = Rates(input=7.0, cached_input=0.7, cache_write=8.75, output=35.0)
+    table = PriceTable(
+        overrides={"claude-opus-5": negotiated},
+        fetched={"claude-opus-5": published, "gpt-5.6-sol": published},
+        fetched_as_of="2026-09-15",
+    )
+
+    assert table.lookup("claude-opus-5").rates is negotiated
+    assert table.lookup("gpt-5.6-sol").rates is published
+    # A model no layer prices is unpriced, never guessed at from a shipped default.
+    assert table.lookup("claude-sonnet-4-6") is None
+
+
+def test_an_empty_price_table_prices_nothing_rather_than_guessing() -> None:
+    """No rates ship with the package, so an unfetched table is honestly empty.
+
+    The alternative — a compiled-in table — is wrong from whatever date the providers next
+    move their prices, and since each run's cost is frozen when written, that wrongness is
+    stored rather than corrected on the next run.
+    """
+    assert PriceTable().lookup("claude-opus-5") is None
+    assert price_usage({"input_tokens": 10_000, "output_tokens": 1_000}, model="claude-opus-5") is None
+
+
+def test_price_table_dates_a_fetched_rate_but_not_an_operators_own() -> None:
+    """A config rate has no verification date, and inventing one would claim currency."""
+    table = PriceTable(
+        overrides={"my-gateway": Rates(input=1.0, cached_input=0.1, cache_write=1.25, output=2.0)},
+        fetched={"gpt-5.6-sol": Rates(input=7.0, cached_input=0.7, cache_write=8.75, output=35.0)},
+        fetched_as_of="2026-09-15",
+    )
+
+    assert price_provenance(table.lookup("my-gateway")) == {
+        "price_rates": {
+            "input": 1.0,
+            "cached_input": 0.1,
+            "cache_write": 1.25,
+            "output": 2.0,
+            "cache_write_5m": None,
+            "cache_write_1h": None,
+        },
+        "price_source": "config",
+        "price_rates_as_of": None,
+    }
+    fetched = price_provenance(table.lookup("gpt-5.6-sol"))
+    assert (fetched["price_source"], fetched["price_rates_as_of"]) == ("fetched", "2026-09-15")
+    # An unpriced model still produces the keys, so results have one shape to read.
+    assert price_provenance(None) == {"price_rates": None, "price_source": None, "price_rates_as_of": None}
+
+
+def test_two_passes_months_apart_keep_the_rates_each_was_priced_by() -> None:
+    """The point of recording rates per run: a later pass must not restate an earlier one.
+
+    Same model, same tokens, two months and a price rise apart. Both figures stay valid
+    because each carries the rate that produced it, which is what lets one report mix them.
+    """
+    usage = {"input_tokens": 1_000_000, "output_tokens": 100_000}
+    august = PriceTable(
+        fetched={"gpt-5.6-sol": Rates(input=5.0, cached_input=0.5, cache_write=6.25, output=30.0)},
+        fetched_as_of="2026-08-04",
+    )
+    october = PriceTable(
+        fetched={"gpt-5.6-sol": Rates(input=8.0, cached_input=0.8, cache_write=10.0, output=48.0)},
+        fetched_as_of="2026-10-04",
+    )
+
+    then = price_usage(usage, model="gpt-5.6-sol", provider="codex", prices=august)
+    now = price_usage(usage, model="gpt-5.6-sol", provider="codex", prices=october)
+
+    assert then == pytest.approx(5.0 + 3.0)
+    assert now == pytest.approx(8.0 + 4.8)
+    assert price_provenance(august.lookup("gpt-5.6-sol"))["price_rates_as_of"] == "2026-08-04"
+    assert price_provenance(october.lookup("gpt-5.6-sol"))["price_rates_as_of"] == "2026-10-04"
+
+
+def test_fetch_table_dates_the_fetch_and_keeps_config_on_top() -> None:
+    """What ``bench`` builds: live rates, dated, with the operator's own still winning."""
+    pages = {"anthropic": _ANTHROPIC_MD, "openai": _OPENAI_MD}
+    mine = {"gpt-5.6-sol": Rates(input=1.0, cached_input=0.1, cache_write=1.25, output=2.0)}
+
+    table = fetch_table(
+        mine,
+        today=date(2026, 9, 15),
+        fetcher=lambda url: pages["anthropic" if "claude" in url else "openai"],
+    )
+
+    assert table.fetched_as_of == "2026-09-15"
+    # The page priced this one at $5 input; the operator's own rate still wins.
+    assert table.fetched["gpt-5.6-sol"].input == 5.0
+    assert table.lookup("gpt-5.6-sol").source == "config"
+    assert table.lookup("gpt-5.6-sol").rates.input == 1.0
+    # Everything else comes from the fetch, dated by it.
+    sonnet = table.lookup("claude-sonnet-5")
+    assert (sonnet.source, sonnet.as_of) == ("fetched", "2026-09-15")
+    # 2026-09-15 is past the introductory window, so the standard rate applies.
+    assert sonnet.rates.input == 3.0
+
 
-    overrides = {"claude-opus-5": Rates(input=1.0, cached_input=0.1, cache_write=1.25, output=2.0)}
-    assert resolve_rates("claude-opus-5", overrides).input == 1.0
-    # An override for one model doesn't shadow the built-in table for the others.
-    assert resolve_rates("gpt-5.6-luna", overrides) == DEFAULT_RATES["gpt-5.6-luna"]
+def test_fetch_table_raises_rather_than_pricing_a_pass_from_a_stale_table() -> None:
+    """Bench turns this into a refusal: a wrong cost, once frozen into a result, stays wrong."""
+
+    def unreachable(url, **_kwargs):
+        raise PriceFeedError(f"could not fetch {url}: timed out")
+
+    with pytest.raises(PriceFeedError, match="could not fetch"):
+        fetch_table({}, today=date(2026, 9, 15), fetcher=unreachable)
 
 
 def test_config_prices_block_validates_and_defaults_the_cache_rates() -> None:
@@ -1914,6 +2056,37 @@ def test_load_warning_needs_most_of_the_arm_to_miss(
     assert bool(notes) is warned
 
 
+def test_arms_priced_on_different_dates_are_flagged_as_not_cost_comparable(
+    runs_root: Path, model: str, make_result
+) -> None:
+    """Benching arms weeks apart confounds the skill's effect with a change in list price.
+
+    Rates are resolved live and frozen per run, so each figure is true to what it cost —
+    but the difference *between* arms then contains both effects, and nothing downstream
+    can separate them. The report says so rather than presenting the gap as the skill's.
+    """
+    for arm, as_of in (("noskill", "2026-08-04"), ("skill_v1", "2026-10-04")):
+        for split in ("train", "test"):
+            key = RunKey(arm=arm, split=split, model=model, task_id="example_task", rep=1)
+            make_result(runs_root, key, price_rates_as_of=as_of, price_source="fetched")
+
+    (note,) = [n for n in _integrity_notes(load_results(runs_root)) if "priced on different dates" in n]
+    assert "2026-08-04" in note and "2026-10-04" in note
+    assert "not only the skill's effect" in note
+
+
+def test_one_pass_priced_on_one_date_is_not_flagged(runs_root: Path, model: str, make_result) -> None:
+    """The note must stay quiet on the ordinary case, or it teaches people to ignore it."""
+    for arm in ("noskill", "skill_v1"):
+        for split in ("train", "test"):
+            key = RunKey(arm=arm, split=split, model=model, task_id="example_task", rep=1)
+            make_result(runs_root, key, price_rates_as_of="2026-08-04", price_source="fetched")
+
+    notes = _integrity_notes(load_results(runs_root))
+
+    assert not any("priced on different dates" in note for note in notes)
+
+
 def test_unpriced_runs_are_unknown_in_reports_not_zero_cost(
     runs_root: Path, model: str, make_result, tmp_path: Path
 ) -> None:

From 91a559d863837ff2f2bc1d62717f662c860744e5 Mon Sep 17 00:00:00 2001
From: Intron7 <severin.dicks@icloud.com>
Date: Wed, 5 Aug 2026 10:05:09 +0200
Subject: [PATCH 15/15] avoid future warning

Signed-off-by: Intron7 <severin.dicks@icloud.com>
---
 src/acumen/report.py |  7 +++++--
 tests/test_core.py   | 13 +++++++++++++
 2 files changed, 18 insertions(+), 2 deletions(-)

diff --git a/src/acumen/report.py b/src/acumen/report.py
index a079db2..2945b94 100644
--- a/src/acumen/report.py
+++ b/src/acumen/report.py
@@ -262,7 +262,7 @@ def load_results(runs_root: Path) -> pd.DataFrame:
     # New results carry an explicit availability flag; legacy results predate it and their
     # numeric cost remains usable. An unavailable price is NaN inside pandas so every normal
     # aggregation propagates "unknown" instead of silently treating the run as free.
-    available = df.get("cost_available", pd.Series(True, index=df.index)).fillna(True).astype(bool)
+    available = df.get("cost_available", pd.Series(True, index=df.index)).astype("boolean").fillna(True).astype(bool)
     df["cost_usd"] = pd.to_numeric(df["cost_usd"], errors="coerce")
     df.loc[~available, "cost_usd"] = math.nan
     if "provider_cost_usd" not in df.columns:
@@ -306,7 +306,10 @@ def _loaded_flags(df: pd.DataFrame) -> pd.Series:
     """
     if "skill_loaded" not in df.columns:
         return pd.Series(False, index=df.index, dtype=bool)
-    return df["skill_loaded"].fillna(False).astype(bool)
+    # Convert to pandas' nullable BooleanDtype before filling. Filling an object-dtype
+    # bool/None series currently downcasts silently and emits a FutureWarning; making the
+    # conversion explicit is stable under pandas' future no-silent-downcasting behavior.
+    return df["skill_loaded"].astype("boolean").fillna(False).astype(bool)
 
 
 def arm_metrics(df: pd.DataFrame) -> pd.DataFrame:
diff --git a/tests/test_core.py b/tests/test_core.py
index 24d638b..27c768b 100644
--- a/tests/test_core.py
+++ b/tests/test_core.py
@@ -15,6 +15,7 @@
 import subprocess
 import sys
 import time
+import warnings
 from contextlib import contextmanager
 from dataclasses import replace
 from datetime import date
@@ -77,6 +78,7 @@
     _best_cells,
     _holm,
     _integrity_notes,
+    _loaded_flags,
     _loaded_rank,
     _pareto_front,
     _pareto_steps,
@@ -2038,6 +2040,17 @@ def test_skill_loaded_column_counts_undetermined_runs_as_not_loaded(runs_root: P
     assert widths == [0.0, 0.5]  # the baseline loaded nothing; one of two skill runs is determined
 
 
+def test_loaded_flags_fill_missing_values_without_object_downcast_warning() -> None:
+    values = pd.DataFrame({"skill_loaded": pd.Series([True, None, False], dtype=object)})
+
+    with warnings.catch_warnings():
+        warnings.simplefilter("error", FutureWarning)
+        flags = _loaded_flags(values)
+
+    assert flags.dtype == bool
+    assert flags.tolist() == [True, False, False]
+
+
 @pytest.mark.parametrize(("loads", "warned"), [((True, True, False), False), ((True, False, False), True)])
 def test_load_warning_needs_most_of_the_arm_to_miss(
     runs_root: Path, model: str, make_result, loads: tuple[bool, ...], warned: bool