{"skill":{"slug":"semantic-consistency-auditor","displayName":"Semantic Consistency Auditor","summary":"Use semantic consistency auditor for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries.","tags":{"latest":"1.0.0"},"stats":{"comments":0,"downloads":83,"installsAllTime":0,"installsCurrent":0,"stars":0,"versions":1},"createdAt":1775009493343,"updatedAt":1775011312720},"latestVersion":{"version":"1.0.0","createdAt":1775009493343,"changelog":"Initial release of Semantic Consistency Auditor.\n\n- Adds BERTScore and COMET algorithms to assess semantic consistency between AI-generated and expert clinical texts.\n- Provides a structured, audit-focused workflow for academic and medical writing tasks.\n- Includes command line and Python API usage with example commands and configuration options.\n- Offers fallback and error handling paths for incomplete inputs or execution issues.\n- Supports configuration of models, language, and evaluation thresholds for flexible deployment.","license":"MIT-0"},"metadata":null,"owner":{"handle":"aipoch-ai","userId":"s17fjw78yq6wtd4ep6zsaxwrn983hznr","displayName":"AIpoch","image":"https://avatars.githubusercontent.com/u/258999481?v=4"},"moderation":{"isSuspicious":true,"isMalwareBlocked":false,"verdict":"suspicious","reasonCodes":["suspicious.llm_suspicious"],"summary":"Detected: suspicious.llm_suspicious","engineVersion":"v2.2.0","updatedAt":1775011312720}}