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peer-review

Simulate skeptical external peer review for AI/ML/CV manuscripts and proposals.

Updated May 27, 2026
Search Tags:#evaluation#AI/ML#reproducibility#peer review#manuscript critique#meta-review
One-click install
npx skills add https://github.com/rauffatali/my-research-copilot --skill peer-review-rauffatali
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: peer-review
Source: https://github.com/rauffatali/my-research-copilot/tree/main/.agents/skills/peer-review
Command: npx skills add https://github.com/rauffatali/my-research-copilot --skill peer-review-rauffatali

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you evaluate whether a research manuscript, proposal, experiment package, or research narrative would convince skeptical external reviewers.

Core Features & Use Cases

  • Single-reviewer critique: Produce a structured reviewer-style assessment with strengths, weaknesses, and actionable major/minor comments.
  • Multi-reviewer panel mode: Simulate complementary reviewers (AI/ML/CV method, domain expert, hybrid bridge) and produce an integrated meta-review with a readiness label.
  • Reviewer-style evidence gating: Focus critique on contribution clarity, novelty risk, methodological soundness, baseline fairness, evaluation adequacy, reproducibility, limitations, and likely objections rather than silent editing.

Quick Start

Use peer-review to produce a skeptical review of your current manuscript draft and request a likely recommendation plus must-fix issues.

Frequently Asked Questions about peer-review

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

FAQPage Schema
How do I get peer review feedback on my AI/ML manuscript before submission?▼

You can simulate external peer review on your AI/ML manuscript to receive structured strengths, weaknesses, major and minor comments, and a readiness label from a skeptical reviewer perspective.

What is multi-reviewer panel mode for manuscript critique?▼

Multi-reviewer panel mode simulates complementary reviewers including an AI/ML method expert, domain expert, and hybrid bridge to produce an integrated meta-review with a readiness label for your research manuscript.

How do I evaluate reproducibility and baseline fairness in computer vision experiments?▼

You evaluate reproducibility and baseline fairness by applying reviewer-style evidence gating to your experiment packages, focusing critique on methodological soundness, evaluation adequacy, and likely reviewer objections.

Can I use automated peer review for research proposals and experiment packages?▼

Yes, you can use this manuscript critique process for research proposals and experiment packages, applying skeptical reviewer judgment to assess contribution clarity, novelty positioning, and limitations.

What are the limitations of simulated peer review for academic manuscripts?▼

Simulated peer review focuses on evidence gating and methodology adequacy rather than silent editing, producing actionable comments and questions but not performing direct text correction on your manuscript.

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