frontmatter-guard

YAML frontmatter validation scans brain pages against seven canonical validation classes to detect structural errors like null bytes, slug mismatches, and missing delimiters, ensuring proper knowledge graph ingestion and search synchronization.

You validate YAML frontmatter by running an automated audit across your registered brain sources to detect structural corruption, verifying that new pages meet standards before committing them to your repository.

Brain pages fail search and synchronization due to structural corruption such as malformed YAML frontmatter, nested quotes, null bytes, or missing closing delimiters, which disrupt knowledge graph ingestion and must be repaired.

Yes, you can safely auto-repair missing closing delimiters, slug mismatches, and nested quotes because the repair workflow creates safety backups before modifying files, ensuring data integrity is preserved during structural fixes.

The best way to audit an entire knowledge base for corrupted metadata is running a multi-phase workflow that scans registered brain sources to detect and resolve structural issues like null bytes and YAML syntax errors across all files.

Yes, frontmatter validation operates across multiple registered brain sources simultaneously, scanning all pages to detect and resolve structural integrity issues like null bytes, slug mismatches, and syntax errors for knowledge graph ingestion.