Individual skill
darwin-skill
Darwin Skill 2.0 (达尔文.skill 2.0): autonomous skill optimizer, v2.0 integrates Microsoft Research SkillLens (arXiv 2605.23899) 9-dim rubric + SkillOpt (arXiv 2605.23904) validation-gated design + human-in-the-loop checkpoints. Evaluates SKILL.md files using a 9-dimension rubric (structure + effectiveness + meta-skill blacklists), runs hill-climbing with git version control, spawns independent judge agents for blind evaluation, validates improvements through test prompts with auto-break on diminishing returns, and generates visual result cards. Use when user mentions "优化skill", "skill评分", "自动优化", "auto optimize", "skill质量检查", "达尔文", "darwin", "帮我改改skill", "skill怎么样", "提升skill质量", "skill review", "skill打分".
SKILL.md
Source commit 8a8b66258e3c45d6ae4aea39719468c6428fcb0a
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 2, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 6,834
- Repository last updated
- Sep 18, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
.gitignoreasset · 19 bytesLICENSEasset · 1,076 bytesREADME.mddoc · 12,172 bytesREADME_EN.mddoc · 12,480 bytesSKILL.mdcore · 31,456 bytesSKILL.mdcore · 31,456 bytesSKILL.mdcore · 31,456 bytesassets/aso-hero.pngasset · 55,953 bytesassets/banner-check.pngasset · 35,875 bytesassets/banner-en-check.pngasset · 32,420 bytesassets/banner-en.svgasset · 6,346 bytesassets/banner.svgasset · 5,434 bytesassets/chart-loop-en.htmlasset · 7,041 bytesassets/chart-loop-en.pngasset · 23,150 bytesassets/chart-loop.htmlasset · 8,794 bytesassets/chart-loop.pngasset · 25,201 bytesassets/chart-phases-en.htmlasset · 4,434 bytesassets/chart-phases-en.pngasset · 29,951 bytesassets/chart-phases.htmlasset · 4,444 bytesassets/chart-phases.pngasset · 31,299 bytesassets/chart-ratchet-en.htmlasset · 7,479 bytesassets/chart-ratchet-en.pngasset · 22,201 bytesassets/chart-ratchet.htmlasset · 7,599 bytesassets/chart-ratchet.pngasset · 22,730 bytesassets/chart-rubric-en.htmlasset · 8,465 bytesassets/chart-rubric-en.pngasset · 56,136 bytesassets/chart-rubric.htmlasset · 8,421 bytesassets/chart-rubric.pngasset · 54,209 bytesassets/hero.gifasset · 2,914,686 bytesassets/result-card-example.pngasset · 878,511 bytesdocs/index.htmlasset · 31,461 bytesreferences/runtime-neutrality.mddoc · 5,171 bytesreferences/skilllens-evidence.mddoc · 6,673 bytesscripts/screenshot.mjsruns · 3,262 bytesshowcase.htmlasset · 31,461 bytestemplates/result-card-dark.htmlasset · 17,861 bytestemplates/result-card-white.htmlasset · 11,282 bytestemplates/result-card.htmlasset · 15,834 bytestemplates/result-card.pngasset · 878,511 bytestest-prompts.jsonasset · 1,213 bytes
Read excerpt
# Darwin Skill 2.0
> **v2.1 · 2026-06-10** — keep/revert 棘轮从「绝对分数 delta」改为「**paired 同-judge 比较 + 奇数 N 多数决**」(绝对分数 ±8 judge 噪音淹没保守编辑的真实增益、是 false-revert 源;within-judge 比较消除换尺污染)。绝对分数降级为 triage-only。
> **v2.0 · 2026-05-28** — 吸收 Microsoft Research SkillLens(arXiv 2605.23899)的 9 维评分药方 + SkillOpt(arXiv 2605.23904)的 validation-gated 验证机制 + human in the loop 三层守关。
>
> 借鉴 Karpathy autoresearch 的自主实验循环,对 skills 进行持续优化。
> 核心理念:**评估 → 改进 → 实测验证 → 人类确认 → 保留或回滚 → 生成成果卡片**
> GitHub: https://github.com/alchaincyf/darwin-skill
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## 设计哲学
autoresearch 的精髓: