Agent skill · research science · aiskillstore
peer-review
Systematic peer review toolkit. Evaluate methodology, statistics, design, reproducibility, ethics, figure integrity, reporting standards, for manuscript and grant review across disciplines.
Why this skill is useful
Provides a structured peer review methodology and specific evaluation criteria that the AI wouldn't reliably generate on its own.
What it needs
About 11k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Scientific Critical Evaluation and Peer Review Overview Peer review is a systematic process for evaluating scientific manuscripts. Assess methodology, statistics, design, reproducibility, ethics, and reporting standards. Apply this skill for manuscript and grant review across disciplines with constructive, rigorous evaluation. When to Use This Skill This skill should be used when: Conducting peer review of scientific manuscripts for journals Evaluating grant proposals and research applications Assessing methodology and experimental design rigor Reviewing statistical analyses and reporting standards Evaluating reproducibility and data availability Checking compliance with reporting guidelines (CONSORT, STROBE, PRISMA) Providing constructive feedback on scientific writing Visual Enhancement with Scientific Schematics When creating documents with this skill, always consider adding scientific diagrams and schematics to enhance visual communication. If your document does not already contain schematics or diagrams: Use the scientific-schematics skill to generate AI-powered publication-quality diagrams Simply describe your desired diagram in natural language Nano Banana Pro will automatically generate, review, and refine the schematic For new documents: Scientific schematics should be generated by default to visually represent key concepts, workflows, architectures, or relationships described in the text. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/peer-review