kill-argument

Generate a hostile rejection memo and adjudicate attacks on academic papers.

2|Updated Aug 12, 2025
One-click install
npx skills add https://github.com/goupup-ai/miccai25 --skill kill-argument-goupup-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: kill-argument
Source: https://github.com/goupup-ai/miccai25/tree/main/ARIS/skills/kill-argument
Command: npx skills add https://github.com/goupup-ai/miccai25 --skill kill-argument-goupup-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Standard balanced paper reviews often miss the single most damaging rejection argument that would cause a senior area chair to reject a submission, leaving critical headline-vs-body gaps unaddressed until after submission.

Core Features & Use Cases

  • Runs a two-thread adversarial review workflow: first a hostile reviewer constructs the strongest possible 200-word rejection memo targeting the paper's weakest claims, then a fresh independent adjudicator defends the paper point-by-point and classifies each attack as answered by current text, partially answered, or still unresolved.
  • Ideal for pre-submission stress-testing of theory or high-stakes empirical papers, and for rebuttal preparation to predict and pre-respond to the strongest reviewer objections.

Quick Start

Use the kill-argument skill to run an adversarial review of your paper in the directory 'your-paper-folder/' before final submission.

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 argument for an academic paper before submission?

An adversarial review simulates a hostile reviewer constructing the strongest possible rejection memo targeting your paper's weakest claims, followed by an independent adjudicator defending the paper point-by-point to classify attacks as answered, partially answered, or unresolved.

How does adversarial review simulation work for rebuttal preparation?

Adversarial review simulation for rebuttal preparation works by using a fresh AI reviewer thread to construct a 200-word rejection memo, then employing another thread to defend the paper point-by-point and classify each attack as answered, partially answered, or unresolved.

Can I use adversarial review to check theory papers with theorem-class claims?

Yes, you can use adversarial review to check theory papers with theorem-class claims. The workflow specifically applies to pre-submission review of theory papers, targeting headline-vs-body gaps and theorem audits to prevent avoidable rejections.

What is the best way to pre-check high-stakes empirical papers for reviewer objections?

The best way to pre-check high-stakes empirical papers with broad scope claims is running a two-thread adversarial review that surfaces the most damaging rejection arguments and provides a structured verdict with actionable fix recommendations.

Are there limitations to using automated pre-submission checks for conference submissions?

A limitation of automated pre-submission checks is that they rely on AI threads to predict objections, meaning they may not replace human senior area chairs but rather surface avoidable headline-vs-body gaps before conference submissions.