Agent skill · Code Review & Quality

peer-review

Systematic peer review toolkit. Evaluate methodology, statistics, design, reproducibility, ethics, figure integrity, reporting standards, for manuscript and grant review across disciplines.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill scientific-thinking-peer-review --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 15 KB
Bundled scripts: none
Path: skills/analysis/scientific-thinking-peer-review/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 ## Peer Review Workflow Conduct peer review systematically through the following stages, adapting depth and focus based on the manuscript type and discipline. ### Stage 1: Initial Assessment Begin with a high-level evaluation to determine the manuscript's scope, novelty, and overall quality. **Key Questions:** - What is the central research question or hypothesis? - What are the main findings a

What's inside
Steps it walks through
  1. Overview
  2. When to Use This Skill
  3. Peer Review Workflow
  4. Stage 1: Initial Assessment
  5. Stage 2: Detailed Section-by-Section Review
  6. Stage 3: Methodological and Statistical Rigor
  7. Stage 4: Reproducibility and Transparency
  8. Stage 5: Figure and Data Presentation
  9. Stage 6: Ethical Considerations
  10. Stage 7: Writing Quality and Clarity
  11. Structuring Peer Review Reports
  12. Summary Statement
  13. Major Comments
  14. Minor Comments
Ships with 1 file
  • metadata.json
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About this skill
What does the peer-review skill do?

Systematic peer review toolkit. Evaluate methodology, statistics, design, reproducibility, ethics, figure integrity, reporting standards, for manuscript and grant review across disciplines.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill scientific-thinking-peer-review --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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