What problem does it solve?
This Skill helps reviewers systematically evaluate scientific work for methodological soundness, statistical validity, reproducibility, ethical compliance, figure/data integrity, and reporting completeness.
Core Features & Use Cases
- End-to-end peer review workflow covering initial assessment through final checklist.
- Structured critique categories for major/minor comments and optional targeted line-by-line feedback.
- Statistical and methodological rigor review including common pitfalls like p-hacking, inappropriate tests, missing power analysis, and pseudoreplication.
- Reporting guideline alignment by referencing discipline-appropriate standards (e.g., CONSORT, STROBE, PRISMA).
- Figure and research integrity checks including common data presentation and image integrity red flags.
- Ethics and transparency verification focusing on approvals, data/code availability, and reproducibility practices.
Quick Start
Use the peer-review skill to review a submitted manuscript section-by-section and produce a structured report with major comments, minor comments, and a clear recommendation.