Does it provide quantitative scores?

Yes, the skill generates scores on a 1-5 scale for novelty, soundness, clarity, and reproducibility, providing a standard assessment of your paper's current state.

What is the Reviewer 2 Simulator?

It is a specialized Claude Code skill that critiques research drafts using the persona of a skeptical academic reviewer to find potential reasons for rejection before you submit to a journal or conference.

Can this skill help with computer science conference submissions?

Yes, it is specifically designed to prepare researchers for high-volume venues by identifying common red flags in novelty, significance, and experimental methodology.

Is the feedback mean or constructive?

The skill is designed to be 'harsh but fair.' It identifies genuine technical issues and missing citations while suggesting concrete fixes and acknowledging the paper's actual strengths.

Reviewer 2 Simulator

Name: Reviewer 2 Simulator
Author: GhostScientist

byGhostScientist

•

Learning & Documentation

Simulates a skeptical academic reviewer to identify weaknesses and overclaims in research papers before submission.

The Reviewer 2 Simulator provides a rigorous, high-stakes critique of research paper drafts by channeling the persona of a skeptical peer reviewer. It systematically evaluates abstracts, introductions, methodologies, and experimental results to uncover missing baselines, unclear explanations, and unsupported claims. By simulating the mindset of a busy reviewer looking for reasons to reject, this skill helps researchers stress-test their work, anticipate criticisms, and refine their arguments before actual conference or journal submissions.

Key Features

01Standardized scoring matrix based on conference criteria (1-5)

02Multi-phase critique process including rapid skim and deep section-by-section analysis

03Prioritized author rebuttal strategy to guide revisions

04Identification of 'killer questions' regarding novelty, significance, and soundness

05Detailed feedback reports with strengths, major/minor issues, and nitpicks

061 GitHub stars

Use Cases

01Identifying missing baseline comparisons or weak experimental justifications in research drafts

02Simulating peer review feedback to prepare for actual author rebuttal phases

03Pre-submission stress-testing of academic papers for conferences like NeurIPS, ICML, or CVPR

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ghostscientist/skills reviewer-2-simulator

For use in Claude.ai and ChatGPT

Download Skill