verify

To verify markdown note quality, you can run a validation process that checks schema compliance against templates, assesses description quality via cold-read prediction, and performs health checks including frontmatter integrity and link resolution.

The best way to check internal link resolution is to run a per-note health check that validates frontmatter integrity, verifies that all links resolve correctly, and ensures the note connects properly to the topic map.

Semantic retrieval testing works by performing a cold-read prediction on the note's description to ensure it accurately reflects the content, which aids in retrieving the knowledge artifact effectively within the knowledge graph.

Yes, you can use automated quality assurance as a periodic maintenance gate for your knowledge graph, ensuring all knowledge artifacts remain well-written, correctly formatted, and properly integrated into the system.

You need to validate frontmatter integrity when finalizing a new note or during periodic maintenance, ensuring all required fields are present and correctly structured before the note is considered complete.

Yes, note verification checks if the description accurately reflects the content by using cold-read prediction and semantic retrieval testing to ensure the description aids in finding and understanding the note.