You can explore a growing collection of Medical Research Agent Skills on AIPOCH Github.
If you find it useful, consider giving it a ⭐ to support the project!
If you want to explore more about this skill—including Complete Workflow Example, Common Patterns, Quality Checklist, Common Pitfalls, Troubleshooting, References, and more—please visit this page: Blind Review Sanitizer.
What is 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.
What Are The Key Capabilities of This Agent Skill?
- 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
Limitations and Considerations
Important Limitations:
- Not Foolproof: Automated sanitization cannot guarantee complete anonymity. Always perform manual verification.
- Context Blindness: Pattern matching may miss context-dependent identifiers or incorrectly flag legitimate content.
- Image Processing: This tool processes text only. Images, figures, and embedded objects may contain identifying information not detected.
- LaTeX Support: Limited support for LaTeX source files. Consider using LaTeX-specific tools for LaTeX manuscripts.
- Language Support: Optimized for English and Chinese. Other languages may have reduced accuracy.
Ethical and Legal Considerations:
- Author Consent: Ensure all authors consent to anonymization before submission
- Copyright: Anonymization does not change copyright ownership
- Data Availability: Some journals require non-anonymized versions for data/code availability statements
- Post-Acceptance: Plan for deanonymization process after paper acceptance
Explore AIPOCH Agent Skills
Researchers and AI agents can explore the growing library of medical research agent skills through multiple resources:
- Open-Source Repository on GitHub
- AIPOCH Medical Research Agent Skills List – Browse all skills organized by category.
- Full Agent Skills Overview – Learn about the purpose and capabilities of each skill in detail.
These resources make it easy to explore, validate, and experiment with AIPOCH’s growing library.
