frontmatter-guard

You can fix malformed YAML frontmatter by running a validation pass to detect missing delimiters and parse errors, then applying conservative file-by-file remediation to safely repair the metadata blocks.

Frontmatter validation fails after bulk edits because mass changes often introduce malformed delimiters, nested quote issues, or null bytes that break YAML parsing and block reliable metadata extraction.

You normalize wiki-style frontmatter by enforcing a canonical shape, checking that top-level fields like type, title, tags, name, and description are consistent across the Markdown files.

Yes, safe frontmatter repair requires preserving the body content strictly, validating read-only first, and maintaining backup files created during the mutation to prevent data loss.

PyYAML supports parsing YAML structures, but repairing nested quotes and null bytes in frontmatter requires a conservative validation workflow that safely handles these parse errors before applying mutations.

The best way to audit frontmatter before it breaks retrieval is to scan Markdown files for missing delimiters and canonical shape mismatches, proposing the smallest safe repair plan before mutating.