research-review

Coordinate multi-round external research reviews via Codex MCP.

Updated Apr 26, 2026

Search Tags:#research #review #critique #experiments #peer-review #codex-mcp #paper-outline

Ready to run

npx skills add https://github.com/jandan138/Auto-claude-code-research-in-sleep --skill research-review-jandan138

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research-review
Source: https://github.com/jandan138/Auto-claude-code-research-in-sleep/tree/main/skills/research-review
Command: npx skills add https://github.com/jandan138/Auto-claude-code-research-in-sleep --skill research-review-jandan138

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides rigorous, multi-round external critique of research work, helping authors identify gaps, unsupported claims, and improvement paths.

Core Features & Use Cases

Multi-round reviews: orchestrates iterative evaluation by an external LLM with maximum reasoning depth.
Context-aware feedback: reads project narratives, READMEs, STORYs, and notes to ground feedback.
Actionable deliverables: returns experiments designs, paper outlines, claims matrices, and narrative rewrites.

Quick Start

Provide your complete project context and request a thorough external review of your research.

Frequently Asked Questions about research-review

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

FAQPage Schema

How do I get rigorous external peer review for my research paper draft?▼

To get rigorous external peer review for a research paper, provide your complete project context and notes. The system performs multi-round evaluations to identify unsupported claims, gaps, and improvement paths.

What is a claims matrix and how does it help critique research experiments?▼

A claims matrix is a deliverable mapping experimental results to stated conclusions. It helps critique research by highlighting unsupported claims and structuring actionable feedback for narrative rewrites.

Can I use Codex MCP to generate paper outlines and experiment designs from project notes?▼

Yes, you can use Codex MCP to generate paper outlines and experiment designs. By reading your project narratives and notes, the server coordinates iterative evaluations to return these actionable deliverables.

Does this multi-round research critique approach work with narrative documents and READMEs?▼

Yes, this multi-round research critique approach works with narrative documents and READMEs. It reads project narratives and notes to ground feedback, applying rigorous critique to identify weaknesses in your text.

What is the best way to identify weaknesses and gaps in a research idea before submission?▼

The best way to identify weaknesses and gaps in a research idea is applying multi-round external review. This process uses maximum reasoning depth to evaluate your context and generate actionable improvement paths.

When should I not use automated multi-round critique for academic research?▼

You should not use automated multi-round critique when your research lacks complete project context or narrative notes. The mechanism requires substantial contextual documentation to ground feedback and generate accurate deliverables.