alchaincyf/darwin-skill

Health v2 · maintenance only

Flags: no_releases young

Adoption not part of the score

5754 stars · 612 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Darwin.skill is an agent skill for Claude Code that autonomously optimizes other SKILL.md agent skills through an evaluate-improve-test-keep-or-revert loop, inspired by Karpathy's autoresearch and aligned with Microsoft Research's SkillOpt validation-gated framework. It scores skills across nine rubric dimensions, uses independent multi-judge review, and enforces human-in-the-loop checkpoints and regression gates so only genuinely improved changes are kept.

Use cases

• automatically improve my claude code skills
• evaluate and score agent skill quality
• optimize skil.md files like training a model
• run regression tests on agent skills before keeping changes
• bulk maintain a large collection of agent skills
• set up an autonomous skill optimization loop
• audit agent skills for failure modes and risky actions

When to choose

• you maintain many Claude Code / SKILL.md-format agent skills and need systematic quality improvement
• you want evaluation-gated optimization with human checkpoints rather than fully automatic rewrites
• you want rubric-based scoring of both structure and real-world effectiveness of skills

When to avoid

• you don't use Claude Code or any SKILL.md-compatible agent tool
• you need fully autonomous optimization with no human-in-the-loop pauses
• you only have one or two simple skills where manual editing is cheaper

Facets

plugin · maturity active

agent-framework prompt-engineering testing benchmarking workflow-automation developer-tools artificial-intelligence cli cross-platform claude-code agent-skills skill-optimization autoresearch skillopt evaluation-loop llm-tools ai-agents automation nodejs

Member repositories

For agents

markdown · JSON · MCP: product_card(name="alchaincyf/darwin-skill")