How are skills graded by the tool?

Skills are scored across four dimensions: Documentation Quality, Code Quality, Completeness, and Usability, each contributing 25% to a final percentage score and letter grade.

Does this require external Python libraries?

No, Skill Tester is built using the Python Standard Library only to ensure maximum compatibility, security, and easy installation without pip dependencies.

Can I use this in my GitHub Actions?

Yes, it is specifically designed for CI/CD integration, allowing you to run automated quality gates that block substandard code from being merged into your repository.

What is a Claude Code meta-skill?

A meta-skill like Skill Tester is a specialized tool designed to analyze, validate, or enhance other skills within the Claude environment rather than performing a direct end-user task.

What are the different skill tiers it identifies?

The tool classifies skills into BASIC, STANDARD, and POWERFUL tiers based on criteria like line count, script complexity, argument handling, and documentation depth.

Skill Quality Tester

Name: Skill Quality Tester
Author: alirezarezvani

byalirezarezvani

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5,225

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보안 및 테스팅

Validates, tests, and scores Claude Code skills to ensure they meet professional engineering standards and tier requirements.

The Skill Tester is a comprehensive meta-skill designed for developers and maintainers within the Claude Code ecosystem to automate quality assurance. It provides structural validation, runtime script testing, and multi-dimensional quality scoring for AI skills, ensuring they conform to strict documentation and coding standards. By providing automated feedback and tier classification, it serves as an essential gatekeeping tool for production-ready skills, enabling developers to maintain high ecosystem standards through pre-commit hooks or full CI/CD integration.

주요 기능

01Automatic tier classification (Basic, Standard, Powerful)

025,225 GitHub stars

03Multi-dimensional quality scoring with letter grades (A-F)

04Python script syntax and standard library import checking

05Seamless CI/CD and pre-commit hook integration

06Automated directory structure and file format validation

사용 사례

01Validating new skills before submitting pull requests to a repository

02Generating comprehensive quality audit reports for existing skill sets

03Automating quality gates in GitHub Actions for AI skill ecosystems

주요 기능

01Automatic tier classification (Basic, Standard, Powerful)

025,225 GitHub stars

03Multi-dimensional quality scoring with letter grades (A-F)

04Python script syntax and standard library import checking

05Seamless CI/CD and pre-commit hook integration

06Automated directory structure and file format validation

사용 사례

01Validating new skills before submitting pull requests to a repository

02Generating comprehensive quality audit reports for existing skill sets

03Automating quality gates in GitHub Actions for AI skill ecosystems