Evaluate scientific manuscripts and grant proposals for methodological rigor and reporting quality.
npx skills add https://github.com/dralkh/seerai --skill peer-review-dralkh
Please help me install this Agent Skill. Skill: peer-review Source: https://github.com/dralkh/seerai/tree/main/skills/peer-review Command: npx skills add https://github.com/dralkh/seerai --skill peer-review-dralkh
This Skill helps you produce structured, defensible scientific peer reviews without missing key methodological, statistical, ethical, or reporting issues.
Use the peer-review skill to evaluate this manuscript for methodology, statistics, reporting standards, ethical concerns, and clear major and minor revision comments.
High-intent search queries and answers about installing and using this skill.
Peer review of methodology and statistics involves assessing study design rigor, statistical validity, reproducibility, and ethics, then organizing structured feedback into summary statements, major concerns, and minor revision notes.
Yes, you can review a paper against CONSORT, STROBE, or PRISMA reporting standards using checklist-based critique to evaluate reporting quality, data availability, and ethical compliance for a defensible scientific review.
The best way to structure manuscript review feedback is to organize comments into a professional summary statement, prioritized major concerns, minor notes, and actionable author questions to guide revisions.
Yes, peer review works for evaluating grant proposals and presentation slide decks by assessing originality, significance, and study design, including image-based inspection to evaluate presentation formatting.
To check a meta-analysis or methods paper for reproducibility, you evaluate data availability, statistical validity, and compliance with reporting standards like PRISMA using a structured checklist critique.
Automated peer review for original research articles requires venue-aware standards and checklist-based critique but cannot replace human judgment on nuanced ethical concerns, novel significance, or complex methodological subtleties.
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