feat: add DeepSeek Harness (dsh) skill adapter - #14
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Add a dsh skill template (deeprefine_skill/dsh_skill/) that follows the same Agent Skills contract as the Claude Code adapter, and wire it into the installer and CLI: - deeprefine dsh install [--project|--user] / deeprefine dsh uninstall - installs SKILL.md + canonical references into .dsh/skills/deeprefine/ (project) or ~/.dsh/skills/deeprefine/ (user) - bundle dsh_skill/** in the wheel package-data - tests/test_dsh_integration.py: frontmatter contract, install/uninstall, CLI help Co-Authored-By: Claude <noreply@anthropic.com>
The review report footer hard-coded `--refresh-wiki`, which only applies to Graphify wiki output. For plain code graphs it makes `deeprefine apply` attempt `graphify export wiki` and fail. The dsh (and every platform) skill does not pass `--refresh-wiki`, so the footer should match.
E2E revealed two wording gaps: the model read "refuses LOW-confidence actions" as "skip LOW, apply the rest", whereas apply actually aborts and writes nothing. The model also invented closing options beyond the spec. Clarify that apply aborts entirely on any LOW action, and spell out the approve / skip / leave-as-proposal closing options.
Add docs/dsh.md (platform guide), ignore the .dsh/ skill install directory, and add dsh + deepseek-harness to PyPI keywords.
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dsh skill
给 DeepRefine-Skill 增加第 7 个平台适配器 —— DeepSeek Harness (dsh)， 此前项目已支持 Cursor / Copilot CLI / Gemini CLI / Codex / Claude Code / 改了什么
实现方式dsh 的 skill 是纯 Markdown bundle，安装在 验证已在真实 dsh 会话中端到端验证：skill 自动发现、模型自主执行 early-exit 与 （截图见评论区） |
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Add a dsh skill template (deeprefine_skill/dsh_skill/) that follows the same Agent Skills contract as the Claude Code adapter, and wire it into the installer and CLI: