research-review

Critique research work via Codex MCP and propose experiments.

1|Updated Mar 25, 2026
One-click install
npx skills add https://github.com/HeXiao-55/Auto-SurveyMind --skill research-review-hexiao-55
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-review
Source: https://github.com/HeXiao-55/Auto-SurveyMind/tree/main/skills/research-review
Command: npx skills add https://github.com/HeXiao-55/Auto-SurveyMind --skill research-review-hexiao-55

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helps researchers obtain rigorous, multi-round evaluations of their work from an external expert LLM, surfacing weaknesses, missing experiments, and improvements.

Core Features & Use Cases

  • Multi-round reviews with xhigh reasoning via Codex MCP to thoroughly critique research work.
  • Iterative dialogue that responds to criticisms with evidence, asks targeted follow-ups, and builds a stronger narrative.
  • Deliverables including critique summaries, proposed experiments, and a paper outline to strengthen the study.
  • Use Case: before submitting to a conference or journal, obtain an independent external review of papers, ideas, and experimental results.

Quick Start

Provide a round-by-round critical review of my research draft and propose concrete experiments to strengthen the claims

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 before submission?

You can obtain a deep critical review of your research paper by submitting it for multi-round evaluation via Codex MCP, which surfaces logical gaps, unsupported claims, and actionable improvements. The process delivers critique summaries, proposed experiments, and a revision plan to strengthen your claims before submission.

What is multi-round research critique and how does it work?

Multi-round research critique is an iterative dialogue process using xhigh reasoning to thoroughly evaluate papers, ideas, and experimental results. It responds to criticisms with evidence, asks targeted follow-ups, and builds a stronger narrative by surfacing weaknesses and missing experiments across multiple evaluation cycles.

Can I use Codex MCP to review experimental results and propose new experiments?

Yes, you can use Codex MCP to review experimental results and propose concrete experiments to strengthen your claims. It evaluates research work across academia and industry, providing structured feedback and experimental designs that address logical gaps and unsupported claims in your study.

What types of research work can I submit for a deep critical review?

You can submit papers, ideas, and experimental results for deep critical review. The evaluation applies across academia and industry, providing structured feedback, experimental designs, and paper outlines to strengthen the study regardless of the research format or domain.

Does Codex MCP research review work for both academic and industry projects?

Yes, Codex MCP research review works for both academic and industry projects. It provides deep critical reviews of research work including papers, ideas, and experimental results across both domains, delivering structured feedback, proposed experiments, and revision plans tailored to your context.

What deliverables should I expect from an iterative research critique?

From an iterative research critique, you should expect deliverables including critique summaries, proposed experiments, and a paper outline. These outputs strengthen your study by addressing logical gaps and unsupported claims surfaced during the multi-round evaluation and dialogue process.