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review-paper

Automate academic paper reviews with single-pass, adversarial, and peer-review modes.

1|1|Updated Apr 30, 2026
Search Tags:#academic research#peer review#paper review#review automation#editorial simulation
One-click install
npx skills add https://github.com/xashgg/claude-code-my-workflow-codex --skill review-paper-xashgg
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: review-paper
Source: https://github.com/xashgg/claude-code-my-workflow-codex/tree/main/.codex/skills/review-paper
Command: npx skills add https://github.com/xashgg/claude-code-my-workflow-codex --skill review-paper-xashgg

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, pandas, numpy, scikit-learn, and includes scripts (resource) and references (resource) components.

What problem does it solve?

The review-paper skill solves the problem of manual and time-consuming academic paper reviews by automating the process, providing thorough, constructive feedback similar to top-journal referees.

Core Features & Use Cases

  • Comprehensive Review: Automated review with three modes (single-pass, adversarial, peer-review) for different stages of the review process.
  • Adversarial Mode: Iterative critic-fixer loop for refining the manuscript based on feedback.
  • Peer-Review Mode: Simulated editorial pipeline with calibrated review personas for targeted feedback.
  • Customization: Adjusts to different research fields and journals by adapting journal profiles.

Quick Start

Run the review-paper skill with the path to your paper, e.g., 'review-paper path/to/paper.tex'.

Frequently Asked Questions about review-paper

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

FAQPage Schema
How do I automate academic paper review for my manuscript?▼

Automate academic paper review by running the skill with your manuscript path, such as 'review-paper path/to/paper.tex'. It processes various manuscript formats and generates thorough, constructive feedback similar to top-journal referees.

What is the adversarial critic-fixer loop in automated peer review?▼

The adversarial critic-fixer loop in automated peer review is an iterative mode that refines a manuscript by alternating between generating critical feedback and applying fixes. It systematically improves the manuscript based on simulated referee feedback.

Can I simulate a peer-review pipeline with calibrated reviewer personas?▼

Yes, you can simulate a peer-review pipeline with calibrated reviewer personas. The peer-review mode simulates an editorial pipeline, generating targeted feedback by adapting to different research fields and specific journal profiles.

Do I need Python to run automated paper review scripts?▼

Yes, you need Python to run automated paper review scripts. The skill requires a Python environment to execute external scripts for reproducibility checks and utilizes specialized agents for different review phases.

What is the best way to perform reproducibility checks during a paper review?▼

The best way to perform reproducibility checks during a paper review is by integrating external scripts within the automated review pipeline. The skill executes Python-based scripts to validate the manuscript's computational results.

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