Generate structured peer review feedback with major and minor comments.
npx skills add https://github.com/XWIlluDelu/agent-share --skill peer-review-xwilludelu
Please help me install this Agent Skill. Skill: peer-review Source: https://github.com/XWIlluDelu/agent-share/tree/main/lib/peer-review Command: npx skills add https://github.com/XWIlluDelu/agent-share --skill peer-review-xwilludelu
It helps reviewers produce structured, evidence-based peer reviews by systematically checking methodology, statistics, reporting standards, reproducibility, figures, ethics, and clarity.
Ask the AI to perform a peer review of the provided manuscript text using major/minor comments, a recommendation (accept/minor revisions/major revisions/reject), and cite the relevant reporting and statistical checks.
High-intent search queries and answers about installing and using this skill.
A structured peer review systematically evaluates manuscripts across methodology, statistics, reproducibility, ethics, reporting standards, figures, and clarity. This process generates actionable major and minor comments, author questions, and a final recommendation.
Methodology assessment applies discipline-appropriate reporting standards like CONSORT and STROBE. It checks statistical validity, reproducibility, transparency, and evidence quality to ensure rigorous quantitative and methodological compliance.
Yes, the peer review process supports both journal article review and grant proposal evaluation. It applies rigorous statistical and transparency requirements to assess claims, methodology, and evidence quality across scientific documents.
The best way to format peer review feedback is producing structured major comments, minor comments, questions for authors, and a summary recommendation. This consistent format ensures critiques are constructive, actionable, and evidence-based.
Yes, the peer review workflow includes checklist-based rigor for statistical validity and reproducibility. It systematically evaluates quantitative scoring frameworks, transparency requirements, and reporting compliance to ensure scientific claims are robust.
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