Knowledge Base Health Audit
Audits and maintains the structural integrity of your knowledge base by fixing broken links, identifying orphan pages, and regenerating indexes.
The KB Health skill provides a comprehensive auditing system for the aiwg cognitive architecture knowledge base. It automates the maintenance of Markdown-based documentation by detecting broken wiki-links, identifying orphan pages without incoming references, and highlighting stale content that needs updating. With its auto-fix capability, it can normalize filenames and repair source tables, while also providing a consolidated index of all entities, concepts, and syntheses to ensure your documentation remains organized, discoverable, and accurate for AI agents and human users alike.
Características Principales
01Identification of orphan pages lacking incoming references to improve discoverability.
02Automatic regeneration of the global KB index grouped by directory and category.
03Validation of required template sections to prevent empty or placeholder documentation.
04Stale content reporting based on last-updated dates and relative source publication dates.
05Automated detection and repair of broken wiki-links and source references.
06146 GitHub stars
Casos de Uso
01Performing a full structural audit after importing large batches of new documentation.
02Maintaining documentation freshness by identifying pages that haven't been reviewed in over 180 days.
03Restructuring a knowledge base by resolving duplicate slugs and repairing broken cross-references.