collection-compliance

To fix .catalog validation failures, run the Python validation script to diagnose and resolve schema, roster, banner, sample workflow, and JSON mirror errors. It aligns YAML content and metadata with predefined golden sources to ensure full catalog compliance.

AI semantic alignment review verifies that catalog metadata correctly matches golden sources. It ensures YAML content and referenced fragments meet predefined schema standards and maintain accurate provenance across the skill collection.

Roster verification confirms all required skills are correctly listed in the catalog. The compliance script checks the roster and synchronizes collection.yaml with collection.json to validate banner and JSON mirror requirements.

Yes, Python is required to execute catalog compliance checks. You run the validation process using the command uv run python scripts/validate_collection_compliance.py to diagnose and rectify collection compliance errors.

Collection.yaml and collection.json desync when metadata updates are not mirrored across both files. The compliance skill validates this banner and collection.json sync to ensure both formats maintain identical schema alignment.

The best way to ensure fragment provenance is using a validation script to verify all referenced fragments are correctly formatted and sourced from golden sources. This maintains schema alignment and catalog compliance within the directory.