blind-review-sanitizer
Installation
SKILL.md
Blind Review Sanitizer
Automatically anonymize academic manuscripts for double-blind peer review by removing author identifiers, institutional affiliations, acknowledgments, and excessive self-citations while preserving document formatting and scholarly content integrity.
Key Capabilities:
- Author Identity Removal: Automatically detect and redact author names, institutional affiliations, and contact information using pattern matching and customizable rules
- Acknowledgment Section Sanitization: Identify and remove or flag acknowledgment sections that may reveal author identity through funding sources or personal thanks
- Self-Citation Detection and Neutralization: Identify first-person citations and excessive self-references that could deanonymize the submission
- Multi-Format Document Support: Process DOCX, Markdown, and plain text files with format-aware sanitization strategies
- Audit Trail Generation: Create detailed logs of all redactions made for verification and transparency