SkillCheatSheet
darwin-skill
An AI agent skill from alchaincyf/darwin-skill, scored 63 out of 100 by code.
Code score by group
It loses the most points in Done criteria (15), the group that checks whether there is a checklist and a step that verifies the work.
What the author says it does
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…
This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.
- Repository
- alchaincyf/darwin-skill
- Folder
- (repository root)
- License
- MIT
- GitHub stars
- 6,896
- SKILL.md lines
- 520
- Other files
- 37
Add darwin-skill to your agent
npx skills add alchaincyf/darwin-skill --skill darwin-skillThe command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.
Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.