{"skill":{"slug":"blind-review-sanitizer-1","displayName":"Blind Review Sanitizer","summary":"Use blind-review-sanitizer for academic writing workflows that need structured anonymization, explicit assumptions, and clear output boundaries for double-bl...","tags":{"latest":"1.0.0"},"stats":{"comments":0,"downloads":77,"installsAllTime":0,"installsCurrent":0,"stars":0,"versions":1},"createdAt":1775108051156,"updatedAt":1775108069219},"latestVersion":{"version":"1.0.0","createdAt":1775108051156,"changelog":"Initial release of blind-review-sanitizer for structured, double-blind manuscript anonymization.\n\n- Provides a Python-based workflow for anonymizing manuscripts in preparation for double-blind peer review.\n- Supports `.docx`, `.md`, `.txt` file formats and offers command-line control over author detection and output options.\n- Includes clear input validation, explicit fallback procedures, and sample usage guidance.\n- Outputs sanitized manuscripts, with summary of removed identifiers and callouts for manual review where necessary.\n- Offers audit-ready commands, risk assessment, security checklist, and detailed workflow documentation for reproducibility and transparency.","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":1775108069219}}