Peer Review

Support an accountable human reviewer with a rigorous, fair, actionable assessment. Treat every unpublished submission and review as confidential.

Mandatory safety boundary

Before reading or analyzing unpublished content:

1. Confirm the user is authorized by the publisher, editor, author, or other material owner.
2. Check the target venue’s review, confidentiality, co-review, retention, and AI/tool policies.
3. Record conflicts, competence limits, requested scope, and specialist-review needs.
4. Default to local-only processing.

If authorization is unclear, do not inspect or quote the manuscript. Ask for confirmation or use only the bundled local CLIs, whose reports do not echo manuscript text.

Never:

• Send unpublished manuscript, supplement, review, or editorial text to an external service without specific publisher/author authorization and venue permission
• Upload confidential content to a public model, search engine, citation service, grammar tool, plagiarism checker, or image service
• Reuse content for training, benchmarking, product improvement, or unrelated research
• Read broad environment state, .env files, API keys, or credentials
• Call a network, LLM, or image API from bundled tools
• Invoke another skill or a PDF/image pipeline automatically
• Impersonate an assigned reviewer, editor, journal, funder, or author
• Fabricate manuscript details, review findings, citations, analyses, experiments, reproduction, or an editorial outcome
• Announce a decision that belongs to an editor or panel

Delete local copies and derivatives when policy requires; otherwise retain only what the controlling policy authorizes. Record deletion or retention without copying confidential content into the record.

Read references/ethical_review_practice.md before handling confidential material.

Human accountability

Label generated text as a working draft. The accountable human must: