kill-argument

Simulate adversarial peer review to identify rejection risks in theory papers.

27|3|Updated Apr 9, 2026
One-click install
npx skills add https://github.com/sjtuytc/ResearchMathAgent --skill kill-argument-sjtuytc
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: kill-argument
Source: https://github.com/sjtuytc/ResearchMathAgent/tree/main/.claude/skills/kill-argument
Command: npx skills add https://github.com/sjtuytc/ResearchMathAgent --skill kill-argument-sjtuytc

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps researchers uncover the strongest possible rejection arguments against a paper before submission by simulating adversarial peer review and independent defense analysis.

Core Features & Use Cases

  • Adversarial Review Simulation: Generates a focused rejection memo targeting the most damaging weaknesses in a theory paper's claims, proofs, assumptions, or evidence.
  • Independent Defense Adjudication: Decomposes reviewer attacks into atomic points and classifies whether each issue is answered, partially addressed, or unresolved.
  • Use Case: Before submitting a research paper, use this Skill to identify headline claim risks, missing proof obligations, and reviewer objections that require fixes or rebuttal preparation.

Quick Start

Use the kill-argument skill on my paper directory to generate an adversarial rejection analysis and defense report.

Frequently Asked Questions about kill-argument

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

FAQPage Schema
How do I find the strongest rejection arguments against my research paper before submission?

Adversarial peer review simulates fresh reviewer attacks to expose fatal flaws in research papers before submission. It generates a focused rejection memo targeting the most damaging weaknesses in a theory paper's claims, proofs, or evidence.

What is adversarial review simulation and how does it evaluate mathematical claims?

Adversarial review simulation evaluates mathematical claims by decomposing reviewer attacks into atomic points and classifying whether each issue is answered, partially addressed, or unresolved. This structured attack decomposition isolates proof validation failures and scope alignment issues.

How do I prepare a rebuttal for unresolved issues raised during peer review?

To prepare a rebuttal for unresolved issues, decompose reviewer attacks into atomic points and classify whether each issue is answered, partially addressed, or unresolved. This independent defense adjudication generates a report for unresolved issues requiring fixes or rebuttal planning.

Can I use this adversarial analysis to check scope alignment and missing proof obligations?

Yes, adversarial analysis checks scope alignment and missing proof obligations by applying fresh reviewer simulations to theory papers. It identifies headline claim risks and reviewer objections that require fixes before submission preparation.

Does this proof validation approach work for any research paper or only theory papers?

This proof validation approach is specifically designed for theory paper submission preparation, rebuttal planning, and evaluation of mathematical claims. It targets scope alignment and missing proof obligations most relevant to theoretical research.