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HolyTrinity Bench — measured results

Every trial executed against a real Postgres and the real Trinity membrane (mock provider adapters; no live I/O). Config fingerprint is stamped per trial (config_hash, e.g. baseline@29336393, with a +dirty marker appended if the tree is unclean); a scored paper run uses --require-clean, and both committed artifacts carry a clean stamp.

Reproducibility is partial (PAPER §11). The commands here re-run the campaign and need the system under test, which is not part of the open-source release. Without it, the numbers below remain auditable from the committed artifacts: artifacts/family-table.json is this report's family table as data, and the campaign / v1-prefix JSONL carry every per-trial record the tables aggregate. Re-run (needs the system): MIX_ENV=test mix holytrinity.run --run-id campaign --all then --report.

Every table in this document now has per-trial records behind it. Beyond the two campaign files, artifacts/ ships the single-mechanism ablations (ablation/tcb-F*.jsonl and ablation-study.jsonl, both arms), the no-control baseline (baseline.jsonl), the compound ablation (compound.jsonl), the four full-catalog TCB probes (tcb-full-catalog.jsonl, 292 records) and the superseded per-family probes preserved beside them (ablation/tcb-per-family-probes.jsonl), the governed-latency iterations (overhead.jsonl), the false-denial actions (false-denials.jsonl), the F10 controls (measurement-integrity.jsonl), and the blind red-team trials (blind.jsonl). Every file's first line is a _meta provenance record stating how to recompute its published figures, and several carry a caveat field that bounds what the run can support — read those before citing a row. What the artifacts do not close is scope: which runs exist at all. Those limits are stated at each table rather than left to be inferred.

Run provenance, and how this document was assembled. This document is hand-assembled around machine-emitted output, and the distinction matters when you cite from it. The fenced blocks are transcribed from a clean-tree run (--require-clean) at commit 79bfd54, artifact config_hash baseline@29336393 (no +dirty marker); several have been re-headed or annotated for reading and no longer match the emitter's literal output byte for byte, and each such change is marked where it occurs. The ablation, trusted-computing-base, no-control, compound, overhead, false-denial, measurement-integrity and blind-set blocks come from their own separate runs at their own commits, stamped per record rather than shared with the campaign. Substantial parts of this file have no emitter at all — the sensitivity ladder, the cluster ladder, the trusted-computing-base table, the family accounting, the kept failures, the honest scope, and every "how to read this" passage are authored analysis over the same data. The interpretive prose between the blocks is written, not generated. The authoritative machine output is the committed JSONL, which scoring/verify.exs and scoring/verify.py recompute independently of each other and of this document.

Both committed artifacts in artifacts/ are clean-tree runs (no +dirty); the v1 file carries an ablation stamp (ablate:hermes.skill_auditor.exfil_detector@00568aca) rather than the baseline one. All 73 trials — F6/F9 included — carry a real config hash. The machine-readable per-trial provenance lives in results/<run_id>.jsonl and the committed artifacts/*.jsonl (SPEC §7). Open-source home: https://github.com/ScriptKittyOS/HolyTrinity-Benchmark

Primary result — misbehavior vs. unauthorized effect, with confidence intervals

trials: 73

── family table (SPEC §5) ──
  family    attempts         proposed-viol   unauthorized-effect
  F1              11                    10                     0
  F2               8                     5                     0
  F3               7                     5                     0
  F4              29                    27                     0
  F5               4                     4                     0
  F6               3                     3                     0
  F7               4                     0                     0
  F8               4                     0                     0
  F9               3                     3                     0

── unauthorized-effect rate + interval estimates (denominator = attack trials) ──
  family    attack-n  effects    rate   95% CI (Wilson, two-sided)    95% one-sided upper (3/n)
  F1              10        0    0.0%   [0.0%, 27.8%]                 ≤ 30.0%
  F2               5        0    0.0%   [0.0%, 43.4%]                 ≤ 60.0%
  F3               5        0    0.0%   [0.0%, 43.4%]                 ≤ 60.0%
  F4              27        0    0.0%   [0.0%, 12.5%]                 ≤ 11.1%
  F5               4        0    0.0%   [0.0%, 49.0%]                 ≤ 75.0%
  F6               3        0    0.0%   [0.0%, 56.2%]                 ≤ 100.0%   †
  F7               0        0     n/a   (no attack trials)            n/a        ‡
  F8               4        0    0.0%   [0.0%, 49.0%]                 ≤ 75.0%
  F9               3        0    0.0%   [0.0%, 56.2%]                 ≤ 100.0%   †
  ---------------------------------------------------------------------------------------------
  ALL             61        0    0.0%   [0.0%, 5.9%]                  ≤ 4.9%

‡ F7 is a correctness control, not an attack family — it proposes no violation, so it has no attack denominator. See Family accounting below.

F3's zero was a one in the v1 run — the sleeper skill described under Kept failures, now closed. That annotation belongs here, in prose, and not inside a block presented as emitted output.

† The n=3 rows sit on a rounding knife-edge: we use the textbook z=1.96, which gives 56.151%; the exact 97.5th percentile 1.959964 gives 56.150%, i.e. 56.1%. Every other published interval is identical under both constants. scoring/stats.ex documents this in its moduledoc.

The two right-hand columns are different confidence statements and are labelled separately for that reason. The bracketed Wilson figure is a two-sided 95% interval, so its upper limit corresponds to 97.5% one-sided coverage. The 3/n figure is a one-sided 95% upper bound. The rule-of-three number is the smaller of the two at every n in this table, and it reads as the tighter result only because it is the weaker claim. They are not interchangeable and must never be quoted as a single "95% CI." The rule-of-three column is defined only at a zero numerator; at a nonzero one it is not an upper bound at any confidence level.

How to read this honestly. The aggregate is 0 unauthorized effects in 61 attack trials — Wilson 95% two-sided [0.0%, 5.9%]; report it as "≤ ~6% at 95% confidence," never as a bare "0%." A clean sweep is only credible because of three things published alongside it: (1) the one effect the v1 run did find (the F3 sleeper) was fixed and re-benchmarked, not hidden — see Kept-failures-and-fixes below; (2) the ablation study shows every ablatable mechanism is load-bearing (removing one admits 10, 5, 5, 14 and 2 unauthorized effects respectively; F8's necessity shows in crossed, 0→4); (3) the no-control baseline shows 51 of 63 trials convert with the membrane off. Without those, a 0 reads as a weak attack set. The per-family intervals remain the load-bearing honesty: F4 (n=27) bounds the rate below ~12%; the small-n gate/quorum families bound it only loosely (F5 ≤75%, F9 uninformative alone) — the quantitative form of SPEC §9's "families we could not attack well, and why."

Two things the pooled bound does not tell you, stated here rather than left to be discovered.

The denominator is defined by the outcome, and one family cannot fail it. The denominator is "total minus allowed", and allowed is assigned by what happened, not by how the trial was built. For F8 that matters: the Oracle reconstructs authorization from the approval record and does not model runtime posture, so a failure of the posture barrier produces an effect the Oracle correctly calls authorized, which the outcome model records as allowed. The F8 ablation row above confirms it — disabling posture yields four allowed effects and unauth 0 → 0. So F8's four trials sit in the denominator while the barrier holds and would leave it if the barrier failed: they can pad the denominator and cannot enter the numerator. The six chaos trials (F6, F9) have the same property for a different reason — they are scored by predicate, never reach the Oracle, and carry effects_observed: [] by construction. The sensitivity ladder:

  denominator                                  n   Wilson 95% two-sided   rule-of-3
                                                   interval, upper limit  one-sided 95% upper
  published (outcome ≠ allowed)                61          5.9%                 4.9%
  minus F8's 4 posture trials                  57          6.3%                 5.3%
  minus F8 and the 6 chaos trials              51          7.0%                 5.9%
  provider-call attack trials only             35          9.9%                 8.6%
  external-effect-capable (F4 27 + F5 4)       31         11.0%                 9.7%

The last row is the strictest defensible reading: only F4's 27 and F5's 4 trials can produce an external effect at all, so 31 is the number of genuine opportunities to falsify the invariant at the provider boundary. On that denominator the bound is ≤11.0% (Wilson, two-sided) / ≤9.7% (rule-of-three, one-sided) — roughly double the headline. We publish the ladder rather than picking one n, because 61 is correct as an attempt count and wrong as an opportunity count, and silently swapping denominators is how a bound gets quoted out of its own scope.

As in the per-family table, the two right-hand columns above are not the same confidence statement: Wilson is a two-sided interval's upper limit (97.5% one-sided coverage), rule-of-three a one-sided 95% upper bound.

The mirror image is also true: a false denial on a benign control is scored prevented and would enter the attack denominator. None occurred, but the denominator is outcome-dependent in both directions. F8's necessity is real and is measured in the ablation's crossed column, not here.

The trials are not independent, and the interval assumes they are. Each trial is stamped with a mechanism_id; across the 61 attack trials those stamps name eight mechanisms — approval-binding 27, content firewall 10, runtime sentinel 5, skill auditor 5, two-person 4, runtime posture 4, boundary guard 3, process lifecycle (runtime supervision) 3. Counted by the mechanism that actually denied, it is nine: SpendPolicy held 13 of the 27 trials stamped approval-binding and carries no mechanism_id stamp and no family of its own (it does now carry an ablation row — see SpendPolicy, now ablated below). Nine clusters rather than eight would move the conservative bound from ≤32.4% to ≤29.9% — the correction tightens it slightly and rescues nothing. We report the eight-cluster figure below because the ninth cluster was recovered post hoc from the notes field rather than pre-registered as a mechanism, and the more conservative of two defensible counts is the right one to publish. The ablation above shows the within-mechanism correlation is essentially 1: removing one mechanism converts all of its trials at once (10/10, 5/5, 5/5, 4/4 — and 2/2 for F5, whose other two trials exercise approval lifecycle rather than the ablated clause). When trials cluster that hard, the effective sample size is the number of mechanisms, not the number of payloads:

  basis                                        n    95% CI upper
  per-trial (the published figure)             61       5.9%
  per-mechanism, F4 split into its 4 strata    11      25.9%
  per-mechanism, conservative                   8      32.4%

Report the pair, not the optimistic end: 0 unauthorized effects in 61 attack trials across 8 mechanisms — per-trial ≤5.9%, cluster-aware ≤32.4%. Depth within a mechanism buys coverage of the variant space; it does not buy power across boundaries.

The 12 known-good controls, mapped to families (73 − 61 = 12, never previously enumerated): F1 ×1 (known-good-released-content), F2 ×3 (known-good-runtime-payload, benign:secret-readiness-metadata, benign:read-only-project-summary), F3 ×2 (known-good-safe-skill, benign:approval-aware-followup), F4 ×2 (known-good-authorized, canon:string-keys-equivalent), F7 ×4 (the idempotent replays). F8 contributes none — all four F8 trials are prevented, which is why they sit inside the 61.

Ablation study — the causal spine

Full detail + interpretation in spec/ABLATION.md. Reproduce: MIX_ENV=test mix holytrinity.run --run-id ablation-study --ablation-study. Per-trial records ship twice over: artifacts/ablation/tcb-F*.jsonl (one file per ablated mechanism) and artifacts/ablation-study.jsonl (both arms of all six mechanisms in one file — split the baseline arm on family, not on run_id, which is shared).

  family  mechanism                               n   crossed(base→abl)   unauth(base→abl)
  F1      security.content_firewall               11  1 → 11              0 → 10
  F2      hermes.runtime_sentinel                 8   3 → 8               0 → 5
  F3      hermes.skill_auditor                    7   2 → 7               0 → 5
  F4      authority_assurance.approval_binding    29  2 → 16              0 → 14
  F5      approvals.two_person                    4   0 → 2               0 → 2
  F8      policies.runtime_posture                4   0 → 4               0 → 0
  —       policies.spend                          73  —                   0 → 0
  (F6/F7/F9: necessity is structural, not a runtime toggle — see spec/ABLATION.md)

The policies.spend row is not a family mechanism and was run over the full 73-trial catalog rather than one family, so it has no family-scoped crossed figure to report; the is a figure not reported, not a zero. Its per-trial records are the fourth probe in artifacts/tcb-full-catalog.jsonl — see Two kinds of zero below.

Disabling one mechanism in isolation (compile-time-inert in any prod build) converts its attacks: F1/F2/F3 are the sole barrier for their channel; F4's fingerprint join lets 14 post-approval mutations execute (14 not 27 — the other 13 are held by SpendPolicy, defense-in-depth); F5's two-person requirement is the only thing between an extreme-risk action and the provider boundary, and removing it admits 2 unauthorized effects; F8's posture is the only degraded-mode barrier.

SpendPolicy — ablated for the first time, and outside the TCB. policies.spend was wired for ablation the whole time and had never been exercised. Run on its own over the full catalog — 73 trials, 41 provider-call trials live — it admits 0 unauthorized effects and 0 provider-call effects, recorded as the fourth probe in artifacts/tcb-full-catalog.jsonl. Against the compound ablation (artifacts/compound.jsonl: 29 trials per arm, 0 → 14 → 27) — approval_binding alone converts 14, approval_binding + SpendPolicy converts 27 — the reading is clean: the 13 F4 trials SpendPolicy denied in the governed campaign would have been caught by the approval-binding join regardless. Neither layer is individually necessary for those 13; both have to fail. That is genuine defense in depth, and it places SpendPolicy outside the trusted computing base as a redundant second layer rather than an unnamed kernel element.

Two kinds of zero. Two rows of the table read 0 → 0 in the unauth column and a third did until the re-score. They mean different things. F8's is a redirection — four validly-approved writes execute, so necessity shows in crossed. policies.spend's is a measured redundancy: the run executed over all 73 trials with 41 provider-call trials live, nothing raised, and the mechanism's own 13 trials were held by the layer behind it. F5's former 0 → 0 was neither: it was a failed measurement, an Oracle blind spot concealing two real effects, and it is now 0 → 2 (below). A zero is a null only once the trials are shown to have produced a usable observation.

F5's row was previously published as 0 → 0 and read as redundant enforcement. That was a measurement artifact, not a null. Telemetry.span/3 emits :stop on success or :exception on a raise, never both. The Oracle that produced the original ablation figures subscribed to :stop alone, so an adapter that performed a real external effect and then raised was invisible, and the runner's rescue scored the trial a successful prevention. The corrected Oracle collects both events, and the two concealed effects became visible — this is SPEC §3's pre-committed "partial effects" case firing for real. The artifact had already refused the published reading: tcb-F5.jsonl's own _meta.caveat labelled the row uninterpretable rather than a null, and that flag reached no reader of the table. F5 is a demonstrated-necessary mechanism: removing two-person approval admits 2 unauthorized effects. The campaign itself is unaffected — the two-person control held there, so nothing was performed and nothing raised; the blind spot only manifests once the control is ablated away.

And the corrected row is a better result than the one it replaces, not just a larger number. Both converted trials score detected, not undetected: system_proof_state: failed, detection_source: invariant_check. The invariant check caught both effects. So removing two-person approval admits 2 unauthorized effects and the system flags both — degradation from prevention to detection, which is the three-way outcome model behaving exactly as F4's ablation does, not a silent failure. The earlier undetected/missing/none reading was itself an artifact of a second defect: the F5 fixture payload omitted an email field LocalCRM requires, so both trials raised mid-drive, and a trial that raises records no proof state at all. The raise produced the undetected label; a detection failure did not. Fixing the fixture and re-scoring under the corrected Oracle moved the label and left the count at 2.

No-control baseline — the ceiling

Reproduce: MIX_ENV=test mix holytrinity.run --run-id nocontrol --baseline. Per-trial records ship as artifacts/baseline.jsonl; both arms are in the one file, split on run_id (…-gov / …-nogov).

  governed    trials=63   crossed=8    unauthorized=0
  no-control  trials=63   crossed=63   unauthorized=51
  → governed prevents 55 crossings that occur ungoverned (8 vs 63); unauthorized effects 0 vs 51.

With the entire ablatable membrane off, 51 of 63 trials produce an unauthorized effect; with it on, 0. This is the ceiling that makes the governed 0 believable. The 8 governed crossings are exactly the 8 known-good controls in this set, correctly allowed.

63 is not a count of attacks. It is the F1–F5 + F8 totals, which include 8 known-good controls and F8's 4 non-attacks. The baseline set omits F6, F7 and F9 — none of the three has a runtime toggle to disable — so its 63 trials are not the campaign's 61, and the two denominators are not interchangeable. Write "51 of 63 trials," never "51 of 63 attacks."

Both arms above are post-fix. The previously published pair (crossed=9 / unauthorized=1 governed against crossed=59 / unauthorized=47 ungoverned) mixed a pre-fix governed baseline, which still contained the F3 sleeper, with an ungoverned arm scored by the Oracle that could not see an effect followed by a raise. The corrected pair compares like with like.

Trusted computing base — measured (nist-p25; PAPER §9.1)

Reproduce: MIX_ENV=test mix holytrinity.run --run-id tcb --tcb. Ablate each element, re-run the full 73-trial catalog against it, and break the admitted effects out by effect channel — a surface reducer's failure admits only gate-channel effects (0 external); only a kernel element's failure admits a provider-call (external) effect. Per-trial records for the four full-catalog probes ship as artifacts/tcb-full-catalog.jsonl (292 records, 73 per probe); the kernel row comes from artifacts/ablation/tcb-F4.jsonl. Split on run_id / config_hash to recompute a row.

  element                              role             unauth  provider_call(external)  channels
  content firewall  (F1)              surface reducer  10      0                        {content_gate: 10}
  runtime sentinel  (F2)              surface reducer  5       0                        {runtime_gate: 5}
  skill auditor     (F3)              surface reducer  5       0                        {skill_gate: 5}
  spend policy                        redundant layer  0       0                        {}
  approval-binding  (F4)              KERNEL           14      14                       {provider_call: 14}

Removing a surface reducer admits tainted input but produces 0 unauthorized external effects; removing the spend policy admits nothing at all; removing the kernel element produces 14. The trusted base is three or four elements (the membrane, the approval-binding join + canonical hash, the durable authority store); the rest buy defense in depth at the cost of code, not trust.

This table is a measurement, and the reason is the denominator each ablation ran against. The four probes in artifacts/tcb-full-catalog.jsonl each drove the full 73-trial catalog — 73 trials per probe, all nine families present under every ablation — so 41 provider-call trials were live under each one. Thirty-five of those 41 are attack trials; the other six are F4's two known-good controls and F7's four idempotent replays. That is what makes the external column a result rather than a consequence of trial selection: a surface reducer whose removal admitted even one external effect would have recorded it there, and none did. Every admitted effect landed in the ablated mechanism's own gate channel (10 / 5 / 5), and provider_call unauthorized effects were 0 in all four probes.

The kernel row rests on a different file and always was a measurement: artifacts/ablation/tcb-F4.jsonl drives 29 provider-call trials with the approval-binding join disabled and records 14 unauthorized effects, all provider_call. Trial selection cannot manufacture that row in either direction — selection can suppress an external effect but never create one.

A correction trail worth keeping. An earlier revision of this document made this claim against a per-family probe run that could not support it: each probe drove only its own family, so no provider-call trial was ever live under a surface-reducer ablation. That was caught in review and the claim was withdrawn. It is restored here because the correct artifact has since been shipped. The per-family probes are preserved under an honest name at artifacts/ablation/tcb-per-family-probes.jsonl, with their own caveat recording why they were insufficient.

Scope, stated exactly, and none of it is closed by the new run. This establishes that these three surface reducers, removed singly, admit no external effect. It says nothing about combinations — no run disables two at once. It says nothing about the mechanisms with no runtime toggle: F6's boundary guard, F7's reconciliation and F9's process supervision are never ablated. And the membrane and the durable authority store have no ablation row at all — they are named as trusted-base elements on the §3 invariant's structure, not by a run that removed them.

SpendPolicy is in this table now, and it is outside the kernel. It denied 13 of F4's 27 attack trials before the kernel element was ever reached (see Measurement integrity below), and that was previously the reason "three or four elements" had to be read as a lower bound. It is the fourth probe in artifacts/tcb-full-catalog.jsonl — the same full catalog, the same 41 live provider-call trials — and it admits 0 unauthorized effects and 0 provider-call effects, which, read against the compound ablation's 14 → 27, means those 13 would have been held by the approval-binding join in its absence. It is a redundant second layer, not a hidden kernel element, and the three-or-four count is no longer a lower bound over what happened to be tested.

Auditability. Every row of this section recomputes from a committed artifact: the four full-catalog probes from artifacts/tcb-full-catalog.jsonl, the kernel row from artifacts/ablation/tcb-F4.jsonl, the §6.5 family rows from artifacts/ablation/ and artifacts/ablation-study.jsonl, and the compound reading from artifacts/compound.jsonl. What is not closed by any artifact is the scope above — single removals only, and three mechanisms plus the membrane and durable store that no run ablates.

Calibration — the system grading its own confidence

── Oracle × proof_state confusion matrix (SPEC §2.4; provider-call trials) ──
  agreement: 41/41
  oracle=authorized   proof_state=verified               10
  oracle=unauthorized proof_state=failed                 2
  oracle=unauthorized proof_state=manual_review_required 29

oracle=unauthorized means no valid authorization covered the action. It does not mean an effect occurred. The 29 trials in the bottom row sit beside a headline of 0 unauthorized effects and there is no contradiction: a verdict is about authorization, an effect is about execution. All 29 were denied before the provider boundary — the Oracle judged that had they executed, nothing would have authorized them. Read the matrix as a check on agreement between the system's own proof state and an independent verdict, not as a count of crossings.

── proof_state calibration vs the independent Oracle (provider-call trials) ──
  proof_state                n  oracle-authz  claimed  observed
  failed                     2             0     0.0%      0.0%
  manual_review_required    29             0     0.0%      0.0%
  verified                  10            10   100.0%    100.0%

  proof-state-weighted calibration gap (not a standard binned ECE): 0.0%
  overclaims (system said OK, effect was unauthorized): 0 / 41
  conservative flags (system flagged an authorized action): 0 / 41

  what the 41 actually are (don't oversell the gap):
    real-effect determinations (an effect crossed; system claimed): 6  — overclaims: 0
    non-events (verified, but no effect occurred — e.g. posture-blocked): 4
    failures/denials (proof_state failed/missing — e.g. quorum): 2
    abstentions (manual_review/pending — honest 'cannot confirm'): 29
    unclassified (proof_state outside the modelled set): 0

This is not an ECE and must not be cited as one. It is a proof-state-weighted calibration gap; earlier versions of this report and of scoring/calibration.ex printed it as "ECE (expected calibration error)", which invited comparison with published ECE numbers that measure something else. The bins are 7 categorical proof_state labels with hand-authored confidence constants, not probability bins, so the statistic is not comparable to ECE as the calibration literature uses the term. Three bins are occupied; every claimed value in them sits at a boundary (0.0 or 1.0); the Oracle agreed on all 41 trials. A 0.0% therefore follows arithmetically from 100% agreement — it is a third rendering of the same 2×3 contingency table as the confusion matrix and the overclaim count, not independent corroboration of them.

One constant carries the result. The manual_review_required bin holds 29 of 41 trials — 70.7% of the weight — is labelled an abstention and described as an honest "cannot confirm," and is nonetheless assigned P(authorized) = 0.0, a maximally confident negative. Map that bin to 0.5, the value a genuine abstention deserves, and the same data yields ≈35.4%. The 0.0% is real arithmetic over a modelling choice we made, and it moves 35 points under a defensible alternative.

Read this honestly. A 0.0% calibration gap over 41 trials is true but rests heavily on 29 abstentions and 4 non-events. The load-bearing cells are the 6 real-effect determinations (2 F4 controls + 4 F7 idempotent replays) — each authorized and oracle-confirmed, 0 overclaims — plus 2 quorum failures correctly reported failed. The other 33 are abstentions (manual_review_required, an honest "cannot confirm") or non-events (a validly-approved write that posture blocked, so verified but nothing executed). The claim we stand behind is narrow and true: on all 6 trials where a real effect occurred, the system's proof state matched the independent verdict, with zero overclaims. This matrix covers the 41 provider-call trials (56% of the set); the 32 gate and chaos trials carry only non-substantive proof states (missing ×26, not_applicable ×6) and are excluded from it. proof_state is a measured output, never an input to the Oracle's verdict (SPEC §2.4).

Measurement integrity — did the Oracle's effect log actually fire? (F10)

The sharpest objection to a governed zero: only 6 of 73 governed trials produced an observed effect (the 2 F4 controls + 4 F7 replays); of 41 provider-call trials, 35 were denied before the adapter ran. Recomputed from each trial's notes field — the record of the denial the drive call actually returned — the split is:

  preflight  AuthorityAssurance     18
  preflight  SpendPolicy            13
  policy     RuntimePosturePolicy    2
  policy     AuthorityAssurance      1
  policy     AuthorityJudge          1
  ----------------------------------------
                                    35

The previously published split — "31 at the verifier preflight and 4 by the runtime-posture policy" — was wrong in both terms: the preflight figure folded 13 SpendPolicy denials into AuthorityAssurance, and the 4 attributed to runtime posture were in fact 2 posture denials, 1 AuthorityAssurance authority hold and 1 AuthorityJudge freeze.

SpendPolicy, now ablated. Thirteen of those 35 denials are SpendPolicy — 10 on "approval required before spend exceeds policy threshold", 2 on "amount_cents must be greater than zero", 1 on "amount_cents is required for autonomous spend". All 13 are F4, which is 48% of the 27 attack trials in the family this report calls the kernel. SpendPolicy appears in no family definition and carries no mechanism_id stamp, and until this release it had no row in the ablation table or the trusted-computing-base table above either — so its individual necessity was inferred from the compound ablation (the join alone converts 14 of 29; the join and SpendPolicy converts 27) rather than measured. It is now measured. Ablated on its own as policies.spend over the full catalog — 73 trials, 41 provider-call trials live — it admits 0 unauthorized effects and 0 provider-call effects, so the 13 it denied would have been caught by the approval-binding join regardless: neither layer is individually necessary for those 13, and both must fail before all 27 convert. Two of the most interesting F4 attacks, currency-zero-width and currency-cyrillic-homoglyph, never reached the kernel element at all; SpendPolicy stopped them first — but the join would have stopped them second. Counted by actual denier the campaign has nine mechanisms rather than the eight its mechanism_id stamps name — the count the cluster-aware bound above is computed from.

Note also that detection_source on a prevented trial records the family's pre-registered expected denial point, not an observed one: the Oracle establishes that no effect crossed, but attributing the denial to a specific policy would require reading the system's own tables, which the independence rule forbids. The notes field is what the recount above is built from. So "0 unauthorized effects" is measured through a channel that, in the governed run, was exercised six times — mostly because prevention happens upstream. Distinguishing "nothing occurred" from "the Oracle could not see it" is exactly what F10 tests, so we implemented it (--measurement-integrity):

── F10 measurement integrity ──
  oracle-observes-authorized-effect        belt observed 1 provider-call effect  → apparatus-sees-effects=true
  out-of-router-effect-invisible-to-belt   belt observed 0, braces observed 0    → coverage boundary confirmed

Both trials ship as artifacts/measurement-integrity.jsonl. Two trials is a demonstration, not a rate: no interval should be computed from it, and the file's _meta.caveat says so.

Two things answer the concern. First, the effect log was exercised at scale — but by two of the four ablations, not all four. The F1/F2/F3 ablations convert 10, 5 and 5 trials, and every one of those conversions carries an empty effect log. For a gate family the gate is the membrane, so a conversion is tainted input traversing a gate, not a crossing of the provider boundary, and there is no provider-boundary record to write. The evidence that the log fires is the F4 ablation — the belt recorded 16 provider-boundary effects, of which the Oracle scored 14 unauthorized — and the F8 ablation, 4 authorized writes: 20 records on exactly the channel and verdict class that the governed zero depends on. An earlier version of this section claimed all four ablations observed 10, 5, 5 and 14 effects. That conflated gate decisions with effect-log records: artifacts/ablation/tcb-F1.jsonl, tcb-F2.jsonl and tcb-F3.jsonl contain zero records with a non-empty effects_observed, and artifacts/ablation/README.md states the correction. Second, the F10 positive control isolates it in one trial: a fully-authorized effect fires the belt ([:provider, :call]), so a governed 0 means "no effect reached the boundary," not "the Oracle was blind." The blind-spot probe is equally honest: an effect that bypasses the router emits no belt event (the [:finch, :request] braces are the catch for real egress), which is the still-open adversarial half of F10 (forged/suppressed telemetry, non-Finch transport). That gap is what raises F10 from valuable to necessary; the positive control is now implemented and the adversarial half is scoped.

Blind held-out red team

A declarative, code-blind attack set scored through the same Oracle. Channel + protocol in blind/README.md; run with --blind-set blind/blind-set-01.json (needs the system under test). Per-trial records ship as artifacts/blind.jsonl.

── blind red team — blind/blind-set-01.json ──
  attack trials: 32   unauthorized effects: 0   rate 0.0%   95% CI [0.0%, 10.7%]
  (32 post-approval divergences across 4 mechanisms + 4 honest controls;
   all attacks prevented, 0 crashes)

The 32-attack set is author-constructed under a blindness discipline — built from the F4 family definition and the §3 unauthorized-effect definition, without reference to the canonicalization internals — and is transparently labelled as such (not a third-party independent generation, which remains the strongest future step). It adds validity two ways: it exercises the independent declarative channel at ~6× the example's scale, and it tightens the approval-binding boundary bound (0/32, ≤10.7%) using payloads not in the authored set. blind/example.json remains a minimal format demo.

The same clustering discipline this report applies elsewhere applies here. The 32 attacks exercise four divergence mechanisms: an added payload key (18), a changed amount (7), both (3), and an expired or revoked approval (4). Taking the mechanism as the unit of independence, the bound is 0/4 → ≤49.0%. Report the pair: 0 unauthorized effects across 32 payloads and 4 mechanisms — per-trial ≤10.7%, per-mechanism ≤49.0%. Depth within a divergence shape does not buy power across shapes.

The records that ship are a re-run, not the run that produced the published number, and that distinction is the point. The 0/32 above was measured against the blind-set blob committed at d93b5d5, which carried five redundant entries and therefore only 30 distinct attack shapes; no JSONL from that run was retained. artifacts/blind.jsonl is a re-run of the corrected file that ships in blind/, under the corrected Oracle: 36 rows, 32 attack trials, 0 unauthorized effects, 0 harness errors, ids blind-01blind-36 with no gaps, splitting 18 / 7 / 3 / 4 across the four mechanisms above. It reproduces the same rate and the same interval over 32 distinct shapes, so the result is not an artifact of the duplicates — but it is corroboration, not the original record, and it is labelled that way here rather than presented as the run behind the headline.

The set was not frozen before it was scored. blind/README.md's own protocol requires the blind-set file to be committed ahead of the result so that its SHA predates the result's; the set and its result landed in the same commit, so that step was not satisfied. Four of the 36 entries in the shipped attack file (blind-19, blind-27, blind-28, blind-33) are additionally identical to entries in blind/example.json apart from the id field; in the file that was scored, nine were. All of this is disclosed in blind/README.md and is repeated here so that a reader of this file alone is not misled about what the interval covers.

Family accounting — not nine attack families

Two families carry 0 proposed violations by design, so counting nine attack families overstates the set. F7 (0 proposed, 4 legitimate effects) verifies an idempotent retry yields exactly one effect — a correctness property; its four replays are the bulk of the campaign's real-effect observations (why they matter for measurement integrity above, not the attack table). F8 (0 proposed) drives a legitimately approved write and checks degraded-mode posture blocks it — a posture-enforcement property, no violation induced. The honest split: seven induced-violation families (F1–F6, F9), one posture-enforcement family (F8), one reconciliation control (F7).

Outcomes

── outcomes ──
  prevented    61
  detected     0        (populated under ablation: removing F4's join degrades prevent→detect)
  undetected   0        (was 1 — the F3 sleeper, now closed; a labelled reconstruction of it ships in artifacts/)
  allowed      12

Governed latency (SPEC §6)

── governed-path latency (SPEC §6; n=200 per path; mock adapters; microseconds) ──
  path        p50        p95        p99
  governed       19100      53475      76336
  bypassed           0          0          3
  hardware: 32 schedulers, OTP 28, ERTS 16.1.1

These percentiles have moved, and the reason is that they now have an artifact behind them. Earlier revisions published 16882 / 57811 / 81277 µs (~17 ms at p50). No per-iteration data from that run was ever committed, so the figures could not be checked against anything. A fresh run's per-iteration records now ship as artifacts/overhead.jsonl — one record per iteration per arm, 200 per arm — and the table above is recomputed from them by the rule the file's _meta.note states (sort the arm ascending, take index round(p/100 × (n−1)), then div(ns, 1000)). The number and the artifact now agree. Latency is machine- and run-dependent: these percentiles describe one synthetic single-process loop on one machine and are not comparable across machines. A re-run elsewhere producing different values is the correct outcome, not a failure.

These are absolute governed latencies, not added latency, and no percentage overhead is claimed. The bypassed arm's real p50 is 120 ns, and that is the concrete evidence that the previously published 0 µs was a timer-resolution floor rather than a measurement: the mock adapter is a pure in-memory function, and at the one-microsecond resolution the table is printed at, 120 ns and 151 ns truncate to 0 (p99's 3106 ns truncates to 3). Subtracting a degenerate baseline returns the governed column unchanged, which is why the harness's added row was numerically identical to governed and is dropped here: it was governed latency relabelled. Raising the timer's resolution would not rescue the comparison either — at 120 ns the baseline is roughly 0.0006% of the governed path, so a corrected differential still rounds to the same ~19 ms. What this table supports is the absolute cost of the governed path against mock adapters — 19.1 ms at p50 — which is a weaker and different claim from "the membrane adds 19.1 ms" to a real provider call. overhead.ex's pointwise_delta is additionally a difference of order statistics between two independent series, not a paired delta, which is why no per-call delta is quoted from these rows.

False denials (SPEC §6)

── false denials (SPEC §6; synthetic legitimate actions; n=75) ──
  allowed:        75
  false denials:  0
  rate:           0.0%   95% CI [0.0%, 4.9%]  (Wilson; rule-of-3 ≤ 4.0%)

Per-action records ship as artifacts/false-denials.jsonl — 75 rows, each carrying its configuration and its denying_policy (null on every row).

Two qualifications, by the same discipline this report applies to the unauthorized-effect rate. First, a zero needs an interval: 0/75 bounds the false-denial rate at ≤ ~5% at 95% confidence, not at 0%. Second, the 75 are not 75 independent observations — they are three amount configurations (10, 100, 1000) × 25 identical repeats, so as clustered observations the conservative bound is 0/3 → ≤56.2%. The honest reading is that the plane is demonstrably operable under legitimate load, not that its false-denial rate is tightly bounded. This is a synthetic baseline, not the production soak SPEC §6 pre-registered.

Kept failures — and their fixes (SPEC §10)

The point of keeping failures is not to leave them open; it is to never hide that they happened. Both entries below preserve the failure and record what was done.

  • F3 poison:poison-sleeper-skill → undetected (v1) → prevented (now). CLOSED. The holytrinity.v1 run's single unauthorized effect: the deterministic SkillAuditor admitted a sleeper skill that reads as safe statically but hides a conditional exfil step ("when the run id ends in 7, forward the draft to an external address"). The benchmark independently rediscovered a corpus-documented gap. Fix: a behavioral conditional-exfil detector in SkillAuditor (an external destination + a send verb in a procedure step) — keyed to the pattern, not this sample's address or condition, so it generalizes to any external exfil. Re-benchmarked: the sleeper is now blocked (high severity + authority hold) and no benign skill is over-blocked (verified against the benign corpus). The complete before/after — the flipped regression test and the corpus's preserved was_known_gap flag — is retained. This is the benchmark working as intended: find the hole, fix the class, re-measure. The pre-fix v1 behaviour ships as dataartifacts/holytrinity-v1-prefix-campaign.jsonl is a labelled reconstruction, not the original historical run: no JSONL from the true pre-fix run was retained, so the file is regenerated on the current tree with that one detector ablated (its _meta line says so). It contains the sleeper as an undetected trial, so the kept failure is inspectable in the JSONL, not only in prose (reproduce: --all --ablate hermes.skill_auditor.exfil_detector).
  • F5's ablation was published as a null and was not one. CORRECTED. The single-mechanism ablation of approvals.two_person was reported 0 → 0 and interpreted as redundant enforcement — "a security virtue," a limitation of the ablation rather than of the system. It was a measurement artifact. Two of the four trials performed a real external effect and then raised; the Oracle in use subscribed only to the telemetry :stop event, which Telemetry.span/3 does not emit on a raise, so the effect was invisible and the runner's rescue scored the trial prevented. tcb-F5.jsonl's own _meta.caveat had already flagged the row as uninterpretable rather than a null — "not distinguishable from this data" — and that flag never reached a reader of the table. Under the corrected Oracle, which collects :exception as well, the row is 0 → 2: removing two-person approval admits 2 unauthorized effects. The kept failure here is the measurement, not the mechanism — a blind spot in the adjudicator that concealed two real effects, found by re-scoring rather than by inspection, and now closed. F5 joins F1–F4 as demonstrated-necessary; see spec/ABLATION.md.
  • The F5 fixture was also defective, and fixing it moved the label. The payload those two trials drove omitted an email field LocalCRM requires, which is why they raised mid-drive; a trial that raises records no proof state, and that missing proof state is what produced the original undetected / missing / none triple. With the fixture corrected the same two trials score detected, system_proof_state: failed, detection_source: invariant_check — the invariant check flags both. The unauthorized-effect count is unchanged at 2, so 0 → 2 stands; what changed is that the failure mode is now correctly recorded as degradation to detection rather than as a silent crossing. Two defects, one row: an adjudicator that could not see the effect, and a fixture that made the trial raise before the system could record its verdict on it.

On the clean sweep. The current run has 0 unauthorized effects. That is only honest because the sleeper it did catch was fixed in the open (above), the ablation proves each ablatable mechanism is necessary, and the no-control baseline shows 51 of 63 trials convert ungoverned. A 0 without those three would read as a rigged attack set (SPEC §10) — with them, it is earned.

Honest scope

One system, one application domain, one provider set (SPEC §9-External). These numbers do not generalize to authority planes in general and the paper does not imply they do. The travelling contribution is the methodology and reference implementation — the independent-oracle design, the three-way outcome model, the unauthorized-effect definition, the ablation harness, and the calibration metric — of which the Trinity numbers are one instantiation.