research-paper-review

Critique AI/ML research papers across methodology, experiments, and limitations.

6|1|Updated Feb 20, 2026
One-click install
npx skills add https://github.com/aviskaar/open-org --skill research-paper-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-paper-review
Source: https://github.com/aviskaar/open-org/tree/main/skills/research-paper-review
Command: npx skills add https://github.com/aviskaar/open-org --skill research-paper-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a structured and comprehensive framework for evaluating AI/ML research papers, ensuring a thorough critique of their contributions, methodology, and experimental validity.

Core Features & Use Cases

  • Structured Evaluation: Organizes reviews into distinct sections: Summary, Contributions, Methodology, Experiments, Limitations, Related Work, and Verdict.
  • Constructive Feedback: Promotes a balanced tone, highlighting both strengths and weaknesses.
  • Use Case: A researcher needs to assess a newly published paper for a conference submission. This Skill guides them through a detailed review process to identify the paper's true impact and potential flaws.

Quick Start

Review the attached research paper using the research-paper-review skill.

Frequently Asked Questions about research-paper-review

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

FAQPage Schema
How do I critique an AI research paper for a conference submission?

A structured peer review evaluates AI research papers by assessing contributions, methodology, experimental validity, and limitations. It organizes critiques into sections like summary, related work, and verdict to ensure comprehensive academic feedback.

What is the best way to analyze ML paper methodology and experimental validity?

Analyzing ML paper methodology involves evaluating experimental design and validating results against claimed contributions. A structured critique assesses strengths and weaknesses across methodology, experiments, and limitations to ensure balanced academic feedback.

Can I use a structured review format for assessing novel AI research?

Yes, assessing novel AI research requires a defined review structure covering summary, contributions, methodology, experiments, limitations, and verdict. This structured approach facilitates thorough academic peer review and balanced constructive feedback.

Does a structured AI paper critique identify limitations and related work?

A structured AI paper critique explicitly evaluates limitations and related work as core sections. This ensures the review captures the paper's true impact by assessing experimental validity alongside its placement within the broader research context.