Blind Review Sanitizerv1.0.0

A researcher prepares a manuscript for a double-blind conference. Using this skill, they remove author names, affiliations, and self-citations from the document, ensuring compliance with submission guidelines.

A journal editor uses the sanitizer to anonymize a submitted manuscript before sending it to reviewers. The tool highlights self-citations and preserves acknowledgments if needed, maintaining review integrity.

A funding agency requires anonymized proposals for fair evaluation. The skill strips identifying information from grant documents, with manual verification steps for critical sections.

A university library staff uses the tool to anonymize preprints before adding them to an open-access repository, ensuring compliance with double-blind policies for future submissions.

A graduate student prepares their thesis for a blind committee review. The sanitizer removes personal identifiers and generates a verification checklist to confirm anonymity.

Offer basic anonymization for free (e.g., .txt and .md files) while charging for advanced features like .docx support, batch processing, or integration with reference managers.

License the tool to universities, research labs, and publishing houses as an integrated part of their submission workflow, providing volume discounts and dedicated support.

Package the sanitization engine as an API for integration into existing platforms (e.g., editorial management systems like ScholarOne), charging per request or monthly subscription.