kill-argument

Simulate a hostile reviewer's rejection memo and evaluate the paper's defense.

Updated Jul 6, 2026
One-click install
npx skills add https://github.com/caw111/2026-SoftwareCup --skill kill-argument-caw111
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: kill-argument
Source: https://github.com/caw111/2026-SoftwareCup/tree/main/.agents/skills/kill-argument
Command: npx skills add https://github.com/caw111/2026-SoftwareCup --skill kill-argument-caw111

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires gpt-5.5, and includes scripts (resource) components.

What problem does it solve?

This Skill helps authors prepare for the worst-case reviewer's argument by generating a strong rejection memo and then analyzing the paper's defense against it.

Core Features & Use Cases

  • Adversarial Review: Generates a 200-word rejection memo by simulating a hostile reviewer.
  • Defense Analysis: Evaluates the paper's response to the rejection memo, classifying points as resolved or unresolved.
  • Use Case: Before submitting a paper, use this Skill to identify potential weaknesses and strengthen your defense.

Quick Start

Use the 'kill-argument' skill to prepare for a review by generating a rejection memo for your paper.

Frequently Asked Questions about kill-argument

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

FAQPage Schema
How do I simulate a hostile reviewer to test my theoretical paper's defense?

Adversarial review is a technique that simulates a hostile reviewer to generate a rejection memo, evaluating your theoretical paper's defense. It identifies critical issues that may lead to rejection by classifying your response points as resolved or unresolved.

Can I use paper defense analysis to find reasons my submission might be rejected?

Yes, paper defense analysis generates a rejection memo to find reasons for rejection. It evaluates your theoretical paper's response, classifying critical issues as resolved or unresolved to strengthen your submission before review.

Do I need GPT-5.5 to generate a rejection memo for my paper?

Yes, generating a rejection memo and evaluating the paper's response requires the GPT-5.5 model. This dependency is necessary for simulating the hostile reviewer and adjudicator roles during the adversarial review process.

What is the best way to prepare for an adversarial review before submitting a paper?

The best way to prepare for an adversarial review is to generate a rejection memo, then analyze your paper's defense against it. This process classifies critical issues as resolved or unresolved to strengthen your theoretical paper before submission.

When should I not rely on automated reviewer simulation for paper defense?

You should not rely on automated reviewer simulation when you lack access to the GPT-5.5 model, as it is required for the reviewer and adjudicator roles. The simulated rejection memo serves as a preparatory test, not an absolute peer review verdict.