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; use night-market-operations.
Evaluate Claude skill quality through auditing. Use when reviewing or auditing skills.
$ npx -y skills add athola/claude-night-market --skill skills-eval --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/skills-evalContext preview
The summary Claude sees to decide when to auto-load this skill.
Evaluate Claude skill quality through auditing. Use when reviewing or auditing skills.
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 model_hint: deep 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
1. [Overview](#overview) 2. [Quick Start](#quick-start) 3. [Evaluation Workflow](#evaluation-workflow) 4. [Evaluation and Optimization](#evaluation-and-optimization) 5. [Resources](#resources)
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`.
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 the `skills-auditor` and `improvement-suggester` to generate detailed reports. Performance analysis focuses on token efficiency through the `token-usage-tracker` and tool performance via `tool-performance-analyzer`. For standards compliance, the `compliance-checker` automates common fixes for structural issues.
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.
Explain plugin, skill, command, agent, and hook mechanics used here. Use when authoring or debugging plugins. Do not use for ops; use night-market-operations.
States load-bearing decisions, invariants, and weak points. Use when judging a design change. Do not use for gating; use night-market-change-control.
Rebuild the dev environment: uv, Python tiers, pins, traps. Use when onboarding or toolchain breaks. Do not use for daily commands; use night-market-operations.
Classify, gate, and review changes. Use when landing a PR, releasing, or amending rules. Do not use for failure triage; use night-market-debugging-playbook.
Search and record project memory (Discussions, journal, ADRs). Use before re-investigating anything. Do not use for settled battles; see failure-archaeology.
Bind loop 'done' to unfakeable gates. Use to harden egregore/herald loops or promote completion_integrity. Not for QA gates; use night-market-validation-and-qa.