schema-validate

To validate JSON Schema Draft7 compliance, you need to parse and check your `.schema.json` files within the `schemas/` directory against defined schemas to ensure structural integrity and prevent data drift.

Validating SKILL.md frontmatter requires parsing the YAML headers to ensure they contain valid metadata that adheres to defined schema requirements, preventing structural inconsistencies across your documentation.

Yes, you need the jsonschema and yaml Python libraries to parse and validate JSON Schema Draft7 documents and SKILL.md frontmatter for compliance within your specified directories.

The best way to prevent schema drift when adding or modifying schemas is to run automated compliance validation checks on your `.schema.json` files and cross-sheet invariants immediately after changes.

Yes, you can check the `cross-sheet-invariants.json` file for structural integrity as part of the schema validation process, ensuring that relational constraints across your data sheets remain compliant.

SKILL.md frontmatter validation fails during quality assurance when the YAML metadata does not adhere to the required schema structure, which this process identifies by parsing the document to check for missing or invalid fields.