research-review

Identify logical gaps and narrative weaknesses in research via multi-round Codex MCP review.

Updated Mar 17, 2026
One-click install
npx skills add https://github.com/loujc/Auto-claude-code-research-in-sleep-manual --skill research-review-loujc
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-review
Source: https://github.com/loujc/Auto-claude-code-research-in-sleep-manual/tree/main/skills/research-review
Command: npx skills add https://github.com/loujc/Auto-claude-code-research-in-sleep-manual --skill research-review-loujc

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a structured, external critique of research work using Codex MCP to identify logical gaps, untested assumptions, and narrative weaknesses, saving researchers time and strengthening their claims.

Core Features & Use Cases

  • Multi-round review with xhigh reasoning depth using Codex MCP.
  • Iterative dialogue to address criticisms, propose experiments, and refine narratives.
  • Final self-contained review document including a claims matrix and recommended next steps.
  • Use cases: for papers, proposals, or ideas needing rigorous external critique.

Quick Start

Initiate a Codex MCP–based multi-round review of my research by providing project context (e.g., STORY.md, README.md) and requesting a detailed, round-by-round critique.

Frequently Asked Questions about research-review

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

FAQPage Schema
How do I get a critical review of my research paper to find logical gaps?

To get a research review, provide project context such as STORY.md or README.md to initiate a multi-round critique. It identifies logical gaps, untested assumptions, and narrative weaknesses using iterative dialogue and deep reasoning.

Can I use multi-round dialogue to refine my experimental design and project narrative?

Yes, multi-round dialogue refines experimental design and project narratives. The iterative feedback process addresses criticisms, proposes missing experiments, and strengthens research claims through continuous round-by-round tracking.

What is the best way to critique a research proposal before submission?

The best way to critique a research proposal is running a structured multi-round review. It generates a self-contained review document featuring a claims matrix and recommended next steps to rigorously validate your work before submission.

Does Codex MCP support iterative feedback rounds for identifying missing experiments?

Yes, Codex MCP supports iterative feedback rounds for identifying missing experiments. It enables deep reasoning to systematically evaluate research, propose concrete experiment designs, and refine project narratives across multiple critique cycles.

What deliverables should I expect from a multi-round research review?

Deliverables from a multi-round research review include a final self-contained document, a claims matrix, concrete experiment designs, and recommended next steps. These outputs directly address narrative weaknesses and logical gaps found during critique.