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review-paper

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

Updated Jun 27, 2026
Search Tags:#academic research#manuscript review#peer review#adversarial review#simulated review
One-click install
npx skills add https://github.com/fredmilhome/laffer_tobacco --skill review-paper-fredmilhome
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: review-paper
Source: https://github.com/fredmilhome/laffer_tobacco/tree/main/.claude/skills/review-paper
Command: npx skills add https://github.com/fredmilhome/laffer_tobacco --skill review-paper-fredmilhome

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates comprehensive manuscript review with various modes including single-pass, adversarial critic-fixer loop, and simulated peer-review, addressing the needs of academic authors and editors.

Core Features & Use Cases

  • Comprehensive Review: Single comprehensive report, adversarial critic-fixer loop, or simulated peer-review pipeline.
  • Peer Review Simulation: Simulates an editorial pipeline with an editor and two referees for pre-submission and R&R stages.
  • Adversarial Mode: Iterative critic-fixer loop for pre-submission drafts and substantial revisions.
  • Use Case: Imagine you have a manuscript that needs review before submission. Use the Skill to run a single-pass review, or for a more detailed process, opt for the peer-review mode with optional R&R continuation.

Quick Start

Run the review-paper skill with the path to your manuscript file. For example: review-paper /path/to/your/manuscript.pdf

Frequently Asked Questions about review-paper

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

FAQPage Schema
How do I automate peer review for an academic manuscript before submission?▼

You can automate peer review for an academic manuscript by running a single-pass, adversarial critic-fixer loop, or simulated peer-review pipeline. The Skill processes .tex, .pdf, or .qmd files to generate a comprehensive review report.

What is the adversarial critic-fixer loop for manuscript review?▼

The adversarial critic-fixer loop is an iterative manuscript review mode designed for pre-submission drafts and substantial revisions. It repeatedly critiques and fixes text to provide a comprehensive assessment before academic submission.

Can I simulate an editorial pipeline with multiple referees for my research paper?▼

Yes, you can simulate an editorial pipeline with an editor and two referees. This peer-review simulation supports both pre-submission assessment and post-submission R&R stages for academic research papers.

Do I need LaTeX and pandas installed to review a PDF manuscript?▼

Yes, specific tools including LaTeX, pandas, and scikit-learn are required for manuscript parsing and review. These dependencies handle the underlying text extraction and analytical processing of your academic manuscript.

What is the best way to run a comprehensive review on a .tex or .qmd file?▼

The best way to review .tex or .qmd files is passing the file path directly to the review-paper Skill. It automates the comprehensive assessment using single-pass, adversarial, or simulated peer-review modes.

When should I not use an automated adversarial review for academic research?▼

Automated adversarial review is intended for academic workflows involving pre-submission assessment and post-submission revisions. It should not replace formal human peer review but rather serve as a preparatory simulated evaluation.

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