peer-review

Automates structured peer review of manuscripts and grant proposals across multiple standards.

Updated Jan 28, 2026
One-click install
npx skills add https://github.com/aRustyDev/git-atomic --skill peer-review-arustydev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: peer-review
Source: https://github.com/aRustyDev/git-atomic/tree/main/.claude/skills/method-peer-review-dev
Command: npx skills add https://github.com/aRustyDev/git-atomic --skill peer-review-arustydev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a structured framework to evaluate scientific manuscripts and grant proposals, reducing subjective bias and improving transparency in peer review.

Core Features & Use Cases

  • Structured evaluation of methodology, statistics, reproducibility, ethics, and reporting standards.
  • Template-driven feedback: generate comprehensive reviewer reports with section-specific prompts.
  • Guidance for reporting standards: aligns reviews with CONSORT, STROBE, PRISMA, ARRIVE, and related guidelines.
  • Use Case: A manuscript undergoing journal submission can be reviewed across disciplines, producing a rigorous critique and a reproducibility checklist.

Quick Start

Load the manuscript to review and invoke the peer-review skill to produce a structured critique and actionable recommendations.

Frequently Asked Questions about peer-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I structure a peer review for a scientific manuscript evaluation?

Structured peer review relies on systematically evaluating scientific manuscripts across methodology, statistics, reproducibility, ethics, and reporting standards. Using a template-driven framework reduces subjective bias and generates actionable, section-specific feedback aligned with established guidelines.

Can I use reporting guidelines like CONSORT and PRISMA to evaluate a manuscript?

Yes, manuscript evaluation can align with established reporting standards like CONSORT, STROBE, PRISMA, and ARRIVE. Integrating these reporting guidelines into the peer review process ensures transparency, verifies methodology, and produces a rigorous critique with a reproducibility checklist.

What is the best way to assess reproducibility and statistics in a manuscript review?

Assessing reproducibility and statistics requires a structured evaluation framework that checks methodology and data transparency. A template-driven peer review approach enforces a comprehensive workflow, identifying statistical flaws and generating actionable recommendations for scientific manuscripts.

Does this peer review framework work for grant proposals across different disciplines?

Yes, this structured peer review framework supports the evaluation of both scientific manuscripts and grant proposals across diverse disciplines. It applies a systematic assessment of methodology, ethics, and reporting standards to generate comprehensive reviewer reports.

How do I generate actionable feedback for a manuscript undergoing journal submission?

Generating actionable feedback requires a template-driven workflow that evaluates methodology, statistics, and reporting standards. By applying a structured peer review framework, you produce comprehensive reviewer reports with actionable recommendations and a reproducibility checklist for journal submission.