adversarial-proof-review

Review mathematical proofs and formal arguments for subtle flaws.

3|Updated Apr 17, 2026
One-click install
npx skills add https://github.com/RamanEbrahimi/raman-marketplace --skill adversarial-proof-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: adversarial-proof-review
Source: https://github.com/RamanEbrahimi/raman-marketplace/tree/main/plugins/agentic-research/skills/adversarial-proof-review
Command: npx skills add https://github.com/RamanEbrahimi/raman-marketplace --skill adversarial-proof-review

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, numpy, scipy, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a rigorous, adversarial review of mathematical proofs and formal arguments, helping to identify subtle flaws and ensure correctness.

Core Features & Use Cases

  • Adversarial Review: Iterative self-correction and adversarial review of mathematical proofs.
  • Proof Verification: Check the correctness of theorems, formal arguments, and mathematical reasoning.
  • Use Case: When reviewing a proof, checking a paper's correctness, or verifying a theorem.

Quick Start

Run the adversarial-proof-review skill on the proof document 'proof.pdf'.

Frequently Asked Questions about adversarial-proof-review

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

FAQPage Schema
How do I verify the correctness of a mathematical proof automatically?

To verify the correctness of a mathematical proof automatically, this Skill performs a multi-pass adversarial review to identify subtle flaws and ensure logical accuracy. It iteratively evaluates formal arguments and theorem reasoning within your proof document.

What is adversarial review in the context of formal logic and theorem checking?

Adversarial review in formal logic and theorem checking is an iterative self-correction process that challenges mathematical proofs to expose subtle flaws. It rigorously tests formal arguments to ensure logical correctness before final validation.

Do I need Python and specific libraries to check mathematical reasoning for flaws?

Yes, you need Python along with numpy and scipy libraries to perform logical analysis and theorem checking. These dependencies are required to execute the scripts that evaluate your formal mathematical arguments for correctness.

Can I use this to check a research paper's correctness and find subtle logical flaws?

Yes, you can use this to check a research paper's correctness by running a multi-pass adversarial review on the document. It specifically identifies subtle flaws in mathematical proofs and formal arguments to verify your theorems are correct.

What is the best way to review a formal argument for logical errors?

The best way to review a formal argument for logical errors is using a multi-pass adversarial review mechanism. This approach iteratively challenges the mathematical reasoning to identify subtle flaws and verify the overall correctness of the proof.

Does proof verification work with PDF documents containing mathematical theorems?

Proof verification works with PDF documents containing mathematical theorems by analyzing the formal arguments within. You can run the adversarial review directly on a proof PDF file to check its logical correctness and identify subtle reasoning flaws.