When should I use skills-eval instead of modular-skills?

Use modular-skills for the initial creation of new skills, and use skills-eval when you need to audit, refine, or prepare existing skills for production-grade environments.

What criteria are used for the quality score?

Skills are evaluated across five dimensions: structure compliance, content quality, token efficiency, activation reliability, and tool integration, with scores above 90 indicating production readiness.

How does this skill help reduce AI costs?

It includes a token-usage-tracker and estimator that identifies redundant context in your skill definitions, allowing you to optimize them for lower token consumption per call.

Can I audit multiple skills at once?

Yes, the framework includes a 'make audit-all' command designed to inventory and analyze all skills within your project directory simultaneously to identify high-priority targets.

Claude Skill Quality Evaluator

Name: Claude Skill Quality Evaluator
Author: Ven0m0

byVen0m0

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分析と監視

Audits and optimizes Claude skills to improve performance, ensure compliance, and reduce token consumption.

The Claude Skill Quality Evaluator is a specialized framework designed to audit and refine custom Claude skills against production-grade standards. It provides a suite of automated tools that analyze skill structures, measure context usage, and identify specific technical improvements. By utilizing features like the token-usage-tracker and compliance-checker, developers can ensure their skills are efficient, follow modular design patterns, and are fully compatible with the Claude SDK before deployment. It is the definitive tool for maintaining high-quality, high-performance AI capabilities.

主な機能

01Automated structural auditing of skill definitions

020 GitHub stars

03Prioritized improvement suggestions based on impact analysis

04Performance benchmarking for tool-use and runtime efficiency

05Detailed token usage tracking and context budget estimation

06Compliance checking against modular design and SDK standards

ユースケース

01Optimizing token efficiency to reduce operational costs and improve model response latency

02Auditing existing skills to identify and fix structural flaws before production deployment

03Validating skill compliance with specific architectural patterns and SDK requirements

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ven0m0/claude-config skills-eval

For use in Claude.ai and ChatGPT