research-review

Identify logical gaps, unjustified claims, and missing experiments in research work.

2|Updated Mar 29, 2026
One-click install
npx skills add https://github.com/satsuki-64/MiniAgentWorkflow --skill research-review-satsuki-64
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-review
Source: https://github.com/satsuki-64/MiniAgentWorkflow/tree/main/.skills/research-review
Command: npx skills add https://github.com/satsuki-64/MiniAgentWorkflow --skill research-review-satsuki-64

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps researchers obtain thorough, objective feedback on their work by orchestrating structured, multi-round reviews from a GPT-powered reviewer, accelerating critique quality and clarity.

Core Features & Use Cases

  • Structured critique: identifies gaps, methodological weaknesses, and missing experiments.
  • Round-by-round dialogue: iterative feedback with evidence-backed responses.
  • Decision-ready outputs: generates a final consensus report, claims matrix, and action plan for next steps.
  • Use cases: researchers seeking a NeurIPS/ICML-level review of a paper, a draft methodology, or experimental results.

Quick Start

Provide your research context and documents so the external reviewer can begin a rigorous multi-round critique.

Frequently Asked Questions about research-review

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

FAQPage Schema
How can I get a critical review of my research paper to find logical gaps and missing experiments?

You can conduct a multi-round critical analysis of your draft methodology to identify methodological weaknesses and missing experiments, generating a final consensus report and a claims matrix for next steps.

What is the best way to perform a NeurIPS-level review of experimental results?

An effective research critique requires providing your research context and documents to an external reviewer, enabling a rigorous multi-round dialogue with evidence-backed responses.

Do I need a Codex MCP server to run an automated research critique?

Yes, an automated research critique is suitable for draft reports and papers, applying iterative feedback to evaluate methodological weaknesses and generate a final consensus on your findings.

How do I identify unjustified claims in my draft report before submission?

The critique outputs a review document, a final consensus, and an experiments plan, providing decision-ready feedback rather than a single pass of unstructured comments on your research.

Can I use an external reviewer to generate an experiments plan for my methodology?

Yes, you can use an external reviewer to generate an experiments plan for your methodology by providing your research context for a rigorous, multi-round critique.

What outputs does a structured research critique provide for decision-making?

A structured research critique provides decision-ready outputs including a review document, a final consensus report, a claims matrix, and an action plan detailing next steps.