brain-lint

You can validate knowledge base integrity by running automated lint checks that scan YAML frontmatter, verify link validity, ensure index consistency, and identify stale orphaned captures for archival.

Orphaned captures accumulate when notes are created without being indexed or linked to existing structures, creating knowledge debt that automated integrity checks can detect and flag for compilation or archival.

Automate knowledge base maintenance by coordinating with a Docker-based brain service to perform scheduled health checks, validate structural integrity, and generate automated status reports for your local vault.

Docker is not strictly required to check frontmatter and index consistency, as core linting scans local file structures directly, but Docker-based brain service integration is available optionally for automated health reporting.

The best way to validate YAML frontmatter across a knowledge base is using an automated linting tool that scans file structures to ensure all articles are correctly indexed, formatted, and free of structural inconsistencies.