component-quality-validator

To validate generated agents and hooks for production readiness, run the component validator to check frontmatter correctness, enforce structure, evaluate token efficiency, and verify clear workflows against a defined quality rubric.

A quality gate for skill validation is a scoring mechanism that evaluates generated components against production-ready criteria, computing a numeric grade and highlighting structural or metadata gaps for guided remediation.

You can check frontmatter correctness and token efficiency by running a component validation process that enforces mandatory metadata fields, verifies structure, and scores the component to guide necessary remediation.

Yes, component validation integrates directly with Phase 6.5 workflows to gate readiness before testing, applying a rubric to compute scores and producing actionable warnings to bring components up to standards.

The best way to fix structural gaps is to follow the guided remediation suggestions provided by the component validator, which highlight missing mandatory fields, inefficient tokens, and absent examples for immediate correction.

No dependencies are required to run quality checks on generated skills, as the validation process operates independently to score frontmatter, structure, and workflows directly against its internal production-ready rubric.