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research-review

Generate multi-round critical research reviews using an external Codex agent.

Updated May 22, 2026
Search Tags:#critical analysis#research review#LLM reasoning#secondary LLM#iterative dialogue
One-click install
npx skills add https://github.com/Leo1349/autoresearch --skill research-review-leo1349
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research-review
Source: https://github.com/Leo1349/autoresearch/tree/main/skills/research-review
Command: npx skills add https://github.com/Leo1349/autoresearch --skill research-review-leo1349

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a comprehensive critical review of research from an external LLM, enhancing the research quality and depth.

Core Features & Use Cases

  • Critical Review: Offers a detailed critical review of research papers, ideas, or experimental results.
  • Secondary Codex Agent: Utilizes a secondary Codex agent for enhanced reasoning and review depth.
  • Multi-Round Dialogue: Facilitates iterative dialogue to refine and improve the research.

Quick Start

Use the research-review skill to get a review of your research project on "factorized gap in discrete diffusion language models".

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 analysis of my research paper using an LLM?▼

A critical review of your research is generated through a multi-round dialogue using an external LLM. This process leverages a secondary Codex agent with xhigh reasoning capability to provide enhanced feedback on papers, experimental results, and idea validation.

What is the best way to validate experimental results with iterative dialogue?▼

The best way to validate experimental results with iterative dialogue is to use a multi-round review process. This skill facilitates iterative dialogue with an external LLM to refine and improve your research depth through continuous feedback.

Do I need an external Codex agent to run a multi-round research review?▼

Yes, an external Codex agent is required to run a multi-round research review. The skill specifically requires this secondary agent configured with xhigh reasoning capability to perform the enhanced reasoning needed for in-depth critical analysis.

Can I use this critical review process for idea validation?▼

Yes, you can use this critical review process for idea validation. The multi-round dialogue applies to in-depth research papers, experimental results, and idea validation, helping you refine concepts through iterative external LLM feedback.

How does a secondary LLM improve research review depth?▼

A secondary LLM improves research review depth by applying xhigh reasoning capability to analyze your work. It conducts a multi-round iterative dialogue that uncovers deeper insights and provides more comprehensive critical feedback than a standard review process.

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