xz-liuxz-liuCommunityยท1 Agent Skills Included

mean-reviewer-skill

Simulates destructive peer reviews to stress-test research papers

Generates maximally harsh, high-confidence peer reviews of academic papers to expose how easily damaging reviews can be produced. Simulates the full rebuttal cycle, dismissing new experiments and holding scores fixed regardless of author responses. Helps researchers, program chairs, and students recognize and defend against low-quality or machine-generated reviews before real submission deadlines.
npx skills add xz-liu/mean-reviewer-skill --all -g -y

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Frequently Asked Questions

FAQPage Schema
How to install mean-reviewer-skill?โ–ผ

Run `npx skills add xz-liu/mean-reviewer-skill --all -g -y` in your terminal to install the skill globally.

What does the mean-reviewer skill do?โ–ผ

It roleplays as a maximally destructive peer reviewer, producing a long, confident, low-scoring review of any paper you provide, plus a simulated post-rebuttal response.

Why would I want a harsh fake review of my paper?โ–ผ

It stress-tests your submission against the worst-case reviewer, helping you spot weaknesses and prepare rebuttals before real conference deadlines.

Can I use the generated review in a real peer review?โ–ผ

No. The license strictly forbids using any output in real peer review, hiring, grant, or any evaluative workflow. It is for internal stress-testing and education only.

Does it work with Claude Code and other coding agents?โ–ผ

Yes. It follows the standard SKILL.md format and runs in Claude Code and other compatible agent environments via the /mean-reviewer command.

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