What problem does it solve? Governed knowledge bases built on the LENS/BMAD two-tree model accumulate broken references, duplicate stable IDs, orphaned entities, and stale ledgers over time, making generated projections unreliable. This Skill validates feature archives and living ledgers against the topology model and produces a structured audit report that separates blocking issues from advisory cleanup. ## Core Features & Use Cases - Topology Validation: Builds an in-memory parent graph from belongs_to metadata and detects duplicate stable IDs, missing parents, cycles, broken links, and orphaned nodes. - Blocking vs Advisory Classification: Distinguishes issues that make a projection rebuild unsafe from advisory findings like stale updated_at values or incomplete optional metadata. - Structured Report Output: Produces a Markdown report with an executive verdict, findings tables, entity inventory, and a machine-readable JSON summary block for Lens UI ingestion. - Use Case: Before rebuilding a governance map projection, run the audit to confirm no duplicate published stable IDs or broken parent references exist, then review the completed-but-unpromoted feature list to plan knowledge promotion. ## Quick Start Ask the assistant to run a lens map audit on the project to validate the feature archives and living ledgers and generate the audit report.
