thought-forest-kb-audit

To audit a knowledge base for missing frontmatter and tag drift, you can run a repository-wide scan that surfaces metadata gaps, placeholder content, and missing type/status tags. This generates findings to guide scoped cleanup tasks.

Finding duplicate titles and placeholder content in notes requires scanning the vault to identify blank descriptions, duplicate aliases, and missing related notes blocks. This process highlights navigation gaps and consistency issues for batch remediation.

Checking for stale agent rules and missing metadata in a documentation repository involves scanning all notes to validate frontmatter completeness and detect outdated prompt files. The output provides guidance for performing isolated fixes using related refactoring skills.

Yes, you can batch cleanup tasks for notes with missing related links and status tags by running an audit script from the repository root. The audit proposes scoped cleanup batches designed to guide targeted remediation across the affected notes.

Yes, the note quality audit integrates with existing note intake and refactor workflows by providing guidance on using related skills to perform isolated fixes. It surfaces the exact metadata issues needed to scope remediation actions effectively.