What problem does it solve? AI-generated documentation often contains hallucinated functions, wrong signatures, broken code samples, and unverifiable claims that readers cannot distinguish from accurate docs. This Skill audits READMEs, API references, docstrings, changelogs, and tutorials against the actual source code before they ship. ## Core Features & Use Cases - Claim Verification: Extracts every referenced symbol, flag, endpoint, config key, and version from docs and checks each against the definition site, CLI parser, route table, or changelog. - Code Sample Auditing: Validates that samples have resolvable imports, real API signatures, no hardcoded local paths or credentials, and cover error paths. - Drift Detection: Greps all doc surfaces for renamed or removed symbols after code changes, and flags paraphrased docstrings, filler prose, and broken internal links. - Use Case: After an agent writes a README for a new API, run a review pass to catch a documented flag that does not exist in the argument parser and a code sample calling a function with the wrong argument order. ## Quick Start Review the README and docstrings I just generated and verify every function, flag, and code sample against the actual source code.