Verified:GitHub

research-review

Perform multi-round critical research reviews via Codex MCP with xhigh reasoning.

1|Updated Mar 26, 2026

Search Tags:#research-review #experimental-design #iterative-dialogue #codex-mcp #paper-evaluation #critical-feedback #neural-review

Ready to run

npx skills add https://github.com/Lingrongye/federated-learning --skill research-review-lingrongye

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables researchers and teams to obtain deep, critical reviews of their research work by leveraging Codex MCP via Claude Code, helping identify gaps, weaknesses, and improvement opportunities early in the lifecycle.

Core Features & Use Cases

Multi-round critical review: conducts iterative rounds of critique with explicit evidence requests and targeted follow-ups.
Contextual briefing and consolidation: compiles project narrative, drafts, and experiments to produce a coherent, self-contained review document.
Final consensus and deliverables: produces a claims matrix, prioritized recommendations, and a ready-to-share review narrative.

Quick Start

Submit your current research draft and prompts to begin a high-depth critique using Codex MCP.

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 draft?▼

To get a critical review of your research paper draft, submit it to initiate a multi-round iterative dialogue that produces a self-contained review document with round-by-round criticisms, responses, and a final claims matrix.

What is iterative dialogue in experimental design evaluation?▼

Iterative dialogue in experimental design evaluation is a multi-round critique process that applies senior-level analysis to identify gaps and weaknesses, enforcing high reasoning depth via Codex MCP to produce targeted follow-up questions and evidence requests.

Can I use Codex MCP with Claude Code for paper evaluation?▼

Yes, this research review process uses Codex MCP configured to xhigh reasoning depth via Claude Code to perform deep critical feedback on research papers, ideas, experiments, and drafts.

How do I conduct a multi-round critical review of my research ideas?▼

You can conduct a multi-round critical review by submitting your research ideas and drafts, which triggers iterative rounds of critique with explicit evidence requests, consolidating everything into a coherent review narrative with prioritized recommendations.

What is a claims matrix in research critique?▼

A claims matrix in research critique is a final consensus deliverable that maps evaluated claims from your research work, generated alongside prioritized recommendations and a ready-to-share review narrative after iterative critical feedback rounds.

Does this critical feedback approach work for early-stage experimental design?▼

Yes, this approach is designed to help researchers identify gaps, weaknesses, and improvement opportunities early in the lifecycle by applying senior-level critique to experimental design, ideas, and drafts.