{"skill":{"slug":"protocol-deviation-classifier-1","displayName":"Protocol Deviation Classifier","summary":"Determine whether an incident in a clinical trial is a \"major deviation.","tags":{"latest":"1.0.1"},"stats":{"comments":0,"downloads":104,"installsAllTime":0,"installsCurrent":0,"stars":0,"versions":1},"createdAt":1775094905419,"updatedAt":1775095612972},"latestVersion":{"version":"1.0.1","createdAt":1775094905419,"changelog":"Initial release with workflow, audit, and reference improvements.\n\n- Added audit result sample and a runtime checklist for reference and validation.\n- Updated SKILL.md with clarified execution workflow, commands, and input/output handling.\n- Emphasized reproducible outputs, fallback paths for missing inputs, and explicit parameter controls.\n- Retained structured classification rules and CLI/API documentation.\n- No third-party dependencies; Python standard library only.","license":"MIT-0"},"metadata":null,"owner":{"handle":"aipoch-ai","userId":"s17fjw78yq6wtd4ep6zsaxwrn983hznr","displayName":"AIpoch","image":"https://avatars.githubusercontent.com/u/258999481?v=4"},"moderation":null}