aig-validate

This skill validates YAML tracker documents by scanning the tracker directory and subdirectories to verify schema conformance, detect placeholders, and surface missing fields before scoring. It generates a comprehensive report detailing completeness and data quality gaps.

Cross-reference validation checks the integrity of links and relationships between data fields within tracker documents. This skill identifies inconsistent references to ensure assessment documents are complete, correct, and reliable for downstream scoring.

You ensure audit readiness by running a validation scan on your tracker files to flag placeholders and missing fields. The skill produces a validation report that can be attached to engagements to guide remediation.

Yes, you can detect placeholders and quality gaps in silver-layer tracker files. The skill enforces schema conformance and quantifies narrative and data quality requirements to surface issues before they leak into reporting.

The best way to prepare AIG documents for scoring is to validate them against templates and schemas. This process identifies cross-reference issues and data quality gaps, ensuring completeness and consistency before scoring begins.

Schema validation fails when tracker documents contain missing fields, unresolved placeholders, or inconsistent cross-references. This skill scans subdirectories to locate these quality gaps and enforce conformance before the scoring phase.