governance-validate-skills

To validate AI-SDLC skills before production, you apply deterministic hygiene checks, routing assessments, and value comparisons to detect structural issues and confirm skill quality and discriminability.

Skill routing evaluation tests whether AI-SDLC skills are discoverable and discriminable from neighboring skills, ensuring the correct workflow triggers reliably and provides meaningful improvements over a no-skill baseline.

Run quality checks on edited skill descriptions by applying deterministic validation to verify structure, naming conventions, and required standards within your skill maintenance workflows.

Yes, you can assess skill value by running evaluation harness execution and value comparisons to confirm the AI workflow skill provides meaningful improvements compared with a no-skill baseline.

Perform skill hygiene validation after adding or editing an AI workflow skill to confirm it triggers correctly and meets required quality standards before you rely on it in production.

Automated skill validation focuses on structural issues, routing behavior, and value comparisons but requires deterministic inputs to detect unreliable behavior, meaning non-deterministic outputs may need manual review.