Skill Validator

소개

Skill Validator provides a rigorous automated framework for maintaining parity between what an AI capability promises and what the code actually delivers. By utilizing Codex for deep semantic analysis, it audits implementations to detect feature drift, verify that preconditions are explicitly checked in source files, and confirm that all claimed side effects are realized. This tool is essential for developers and quality assurance teams looking to maintain high-quality, trustworthy AI tool directories by identifying over-promised capabilities, missing functionality, or undocumented features prior to release.

주요 기능

• Automated coverage scoring and detailed drift detection reporting
• Effect verification to confirm implementation produces all claimed results
• 1 GitHub stars
• Precondition validation to ensure requirements are explicitly enforced in code
• Semantic comparison using Codex to align code logic with manifest descriptions
• API surface analysis to validate exported functions against definitions

사용 사례

• Auditing skill implementations after updates to prevent description-implementation drift
• Verifying the accuracy of Model Context Protocol (MCP) resources before release
• Integrating automated quality gates into CI/CD pipelines for AI capability development