Skill Validator FAQs

Question 1

How does this skill improve my AI coding workflow?

Accepted Answer

It automates the tedious process of manual verification, ensuring that your AI-enhanced tools are reliable and accurately described. This prevents Claude from making incorrect assumptions about a skill's capabilities, leading to more stable and predictable AI-driven development.

Question 2

When should I use this skill?

Accepted Answer

You should use this skill after updating implementation code, during quality audits, or before releasing new versions of a resource. It is especially useful for detecting 'manifest drift,' where the documentation and the actual code logic have diverged over time.

Question 3

What does the Skill Validator do?

Accepted Answer

The Skill Validator performs a semantic comparison between a Claude Code skill's manifest and its actual code implementation. It uses Codex to verify that the code logic aligns with the described preconditions, effects, and API surface to ensure the tool performs exactly as advertised.

Question 4

What specific capabilities does it provide?

Accepted Answer

Key capabilities include semantic comparison via Codex, automated coverage scoring, drift detection, API surface analysis to validate exported functions, and explicit verification that all claimed preconditions and effects are enforced within the code.

Question 5

Does it support Model Context Protocol (MCP) implementations?

Accepted Answer

Yes, it is specifically designed to validate both Claude Code skills and MCP implementations, ensuring that the manifest.yaml accurately reflects the behavior of the underlying resource or tool.

Skill Validator

Skill Validator

Key Features

Use Cases

Key Features

Use Cases