claude-code-plugin-ref…
Explain plugin, skill, command, agent, and hook mechanics used here. Use when authoring or debugging plugins. Do not use for ops;…
Evaluate Claude skill quality through auditing. Use when reviewing or auditing skills.
Claude Code
$ npx -y skills add athola/claude-night-market --skill skills-eval --agent claude-code
Codex
$ npx skills add athola/claude-night-market --skill skills-eval -a codex -y
Cursor
$ npx skills add athola/claude-night-market --skill skills-eval -a cursor -y
Gemini CLI
$ npx skills add athola/claude-night-market --skill skills-eval -a gemini-cli -y
GitHub Copilot
$ npx skills add athola/claude-night-market --skill skills-eval -a github-copilot -y
OpenCode
$ npx skills add athola/claude-night-market --skill skills-eval -a opencode -y
Windsurf
$ npx skills add athola/claude-night-market --skill skills-eval -a windsurf -y
name: skills-eval description: 'Evaluate Claude skill quality through auditing. Use when reviewing or auditing skills.' alwaysApply: false category: skill-management tags: - evaluation - improvement - skills - optimization - quality-assurance - tool-use - performance-metrics dependencies: - modular-skills tools: [] provides: infrastructure: - evaluation-framework - quality-assurance - improvement-planning patterns: - skill-analysis - token-optimization - modular-design sdk_features: - agent-sdk-compatibility - advanced-metrics - dynamic-discovery estimated_tokens: 1800 usage_patterns: - skill-audit - quality-assessment - improvement-planning - skills-inventory - tool-performance-evaluation - dynamic-discovery-optimization - advanced-tool-use-analysis - programmatic-calling-efficiency - context-preservation-quality - token-efficiency-optimization - modular-architecture-validation - integration-testing - compliance-reporting - performance-benchmarking complexity: advanced evaluation_criteria: structure_compliance: 25 metadata_quality: 20 token_efficiency: 25 tool_integration: 20 claude_sdk_compliance: 10 modules: - modules/advanced-tool-use-analysis.md - modules/authoring-checklist.md - modules/evaluation-criteria.md - modules/evaluation-framework.md - modules/evaluation-workflows.md - modules/integration-testing.md - modules/integration.md - modules/performance-benchmarking.md - modules/pressure-testing.md - modules/trigger-isolation-analysis.md - modules/troubleshooting.md - modules/skill-authoring-best-practices.md role: entrypoint
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 scripts are in `plugins/abstract/scripts/`. `skills_auditor.py` provides structural analysis, while `improvement_suggester.py` builds a plan for one skill. `compliance_checker.py` reports standards findings. `token_usage_tracker.py` and `tool_performance_analyzer.py` measure tokens and tool run time.
Run a full audit of all skills or target a specific file to identify structural issues.
# Audit all skills make audit-all # Audit specific skill make audit-skill TARGET=path/to/skill/SKILL.md
Use `skill_analyzer.py` for complexity checks and `token_estimator.py` to verify the context budget.
make analyze-skill TARGET=path/to/skill/SKILL.md make estimate-tokens TARGET=path/to/skill/SKILL.md
Generate a prioritized plan and verify standards compliance using `improvement_suggester.py` and `compliance_checker.py`.
make improve-skill TARGET=path/to/skill/SKILL.md make check-compliance TARGET=path/to/skill/SKILL.md
Start with `make audit-all` to inventory skills and identify high-priority targets. For each skill requiring attention, run analysis with `analyze-skill` to map complexity. Generate an improvement plan, apply fixes, and run `check-compliance` to verify the skill meets project standards. Finalize by checking the token budget for efficiency.
Quality assessments use `skills_auditor.py` and `improvement_suggester.py` to generate reports. Performance analysis covers token use through `token_usage_tracker.py` and tool run time through `tool_performance_analyzer.py`. For standards compliance, `compliance_checker.py` reports findings and changes no files. Apply its fixes by hand.
We evaluate skills across five dimensions: structure compliance, content quality, token efficiency, activation reliability, and tool integration. Scores above 90 represent production-ready skills, while scores below 50 indicate critical issues requiring immediate attention.
Improvements are prioritized by impact. Critical issues include security vulnerabilities or broken functionality. High-priority items cover structural flaws that hinder discoverability. Medium and low priorities focus on best practices and minor optimizations.
**Deprecated**: `skills/shared/modules/` directories. Shared modules must be relocated into the consuming skill's own `modules/` directory. The evaluator flags any remaining `skills/shared/` as a structural warning.
**Current**: Each skill owns its modules at `skills/<skill-name>/modules/`. Cross-skill references use relative paths (e.g., `../skill-authoring/modules/description-writing.md`).
A plugin marketplace for Claude Code. Install only the plugins you need to run git workflows, code review, spec-driven development, and autonomous agents from inside your Claude Code session.
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Ask which skill or flow fits your situation. A router over the skills in this repo.