paper-multi-round-review

Simulate multi-round academic peer review with specialized LLM reviewer roles.

1|Updated Mar 13, 2026
One-click install
npx skills add https://github.com/2aryanZ/paper-submission-check --skill paper-multi-round-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: paper-multi-round-review
Source: https://github.com/2aryanZ/paper-submission-check/tree/main/skills/paper-multi-round-review
Command: npx skills add https://github.com/2aryanZ/paper-submission-check --skill paper-multi-round-review

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simulates a rigorous, multi-round academic peer review process to identify weaknesses and improve paper quality before submission, mimicking the evaluation standards of top conferences.

Core Features & Use Cases

  • Multi-Model Diversity: Leverages different LLMs (Claude, GPT, Gemini) for specialized reviewer roles (domain expert, methods expert, etc.) to avoid echo chambers and capture diverse perspectives.
  • Structured Review Process: Guides users through a phased workflow including paper intake, independent reviews, meta-review synthesis, author response guidance, and revision execution.
  • Detailed Feedback: Provides structured reviews covering technical soundness, novelty, methodology, and presentation, including specific line-number references and actionable suggestions.
  • Use Case: A researcher preparing a submission to NeurIPS can use this Skill to get comprehensive feedback from simulated expert reviewers, identify critical flaws, and refine their paper before the official submission deadline.

Quick Start

Use the paper-multi-round-review skill to review the attached paper 'my_research_paper.pdf' for submission to a security conference.

Frequently Asked Questions about paper-multi-round-review

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

FAQPage Schema
How do I get peer review feedback for my academic paper before submission?

You can simulate a rigorous academic paper peer review process to identify weaknesses and improve paper quality before submission, mimicking the evaluation standards of top conferences.

How does multi-model LLM simulation work for technical paper review?

Multi-model LLM simulation assigns specialized reviewer roles to different LLMs to avoid echo chambers, capturing diverse perspectives on technical soundness, novelty, methodology, and presentation.

What is the best way to handle the rebuttal and revision cycle for a ML paper?

The best way is using a structured review-rebuttal-revision cycle, which provides author response guidance and executes revisions based on meta-review synthesis and detailed line-number feedback.

Can I use this to check my paper for ML-for-security pitfalls and experimental rigor?

Yes, you can evaluate experimental rigor and perform ML-for-security pitfall analysis alongside technical soundness, novelty, and presentation quality assessments for your technical paper.

How do I start a multi-round peer review simulation for a PDF research paper?

To start a multi-round peer review simulation, attach your research paper PDF and prompt the Skill to review it for submission to a specific academic conference.

Does the multi-round review process provide specific actionable suggestions for paper revision?

Yes, the multi-round review process provides structured reviews with specific line-number references and actionable suggestions to guide your paper revision and improvement effectively.