skills-eval

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Evaluate Claude skill quality through auditing. Use when reviewing or auditing skills.

AI & Automation 339 stars 35 forks Updated 2 days ago MIT

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Skill Content

# Skills Evaluation and Improvement ## When NOT To Use - Writing a new skill (use `abstract:skill-authoring`) - Evaluating hooks (use `abstract:hooks-eval`) - Evaluating rules (use `abstract:rules-eval`) ## Overview This framework audits Claude skills against quality standards to improve performance and reduce token consumption. Automated tools analyze skill structure, measure context usage, and identify specific technical improvements. Run verification commands after each audit to confirm fixes work correctly. The `skills-auditor` provides structural analysis, while the `improvement-suggester` ranks fixes by impact. Compliance is verified through the `compliance-checker`. Runtime efficiency is monitored by `tool-performance-analyzer` and `token-usage-tracker`. ## Quick Start ### Basic Audit Run a full audit of all skills or target a specific file to identify structural issues. ```bash # Audit all skills make audit-all # Audit specific skill make audit-skill TARGET=path/to/skill/SKILL.md ``` ### Analysis and Optimization Use `skill_analyzer.py` for complexity checks and `token_estimator.py` to verify the context budget. ```bash make analyze-skill TARGET=path/to/skill/SKILL.md make estimate-tokens TARGET=path/to/skill/SKILL.md ``` ### Improvements Generate a prioritized plan and verify standards compliance using `improvement_suggester.py` and `compliance_checker.py`. ```bash make improve-skill TARGET=path/to/skill/SKILL.md make check-compliance TARGET=path/to/skill/S...

Details

Author
athola
Repository
athola/claude-night-market
Created
10 months ago
Last Updated
2 days ago
Language
Python
License
MIT

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