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To check knowledge base health, you can run a non-destructive diagnostic that evaluates directory structure, file presence, and frontmatter conformance. This identifies stale content and structural issues by assessing file age and inventories across subdirectories.

A knowledge base health check validates structural and content consistency by evaluating directory structure, README existence, file inventories, and frontmatter conformance. It outputs a conformance score, health status, and recommended remediation steps.

You validate frontmatter conformance by running a diagnostic scoped to the knowledge/ hierarchy that assesses file presence and metadata structure. This generates a conformance score and flags files that fail validation rules.

You get a conformance score and remediation steps by running a dry-run diagnostic on your knowledge base. The assessment outputs a health status of OK, WARN, or CRITICAL, alongside actionable recommendations for maintenance planning.

The knowledge base validation operates without external dependencies or components. It performs a self-diagnostic dry-run directly on your knowledge/ hierarchy to evaluate structure, file presence, and frontmatter conformance safely.

You should use an automated knowledge base diagnostic when you need proactive maintenance planning for stale content and structural consistency across growing subdirectories. It enables automated alerts for health issues that manual inventories would easily miss.