auditing-mathematical-claims

Audit mathematical claims in proofs and formal arguments for hidden assumptions.

2|Updated May 23, 2026
One-click install
npx skills add https://github.com/rocklambros/rcs --skill auditing-mathematical-claims
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: auditing-mathematical-claims
Source: https://github.com/rocklambros/rcs/tree/main/skills/workflow/auditing-mathematical-claims
Command: npx skills add https://github.com/rocklambros/rcs --skill auditing-mathematical-claims

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill adversarially reviews formal mathematical claims to find hidden assumptions, weak links in proofs, and statements that are too broad to survive scrutiny.

Core Features & Use Cases

  • Per-claim audit structure: Breaks each theorem, lemma, bound, definition, or equation into a four-part review: Location, Concern, Strongest counter, and Stops-mattering-if.
  • Implicit assumption detection: Checks for missing details about norm, measure, domain, smoothness, finiteness, operation preservation, boundary conditions, constants, and quantifier order.
  • Prioritized remediation: Ranks concerns by severity, likelihood, and detectability, then recommends whether to tighten, restrict, weaken, disprove, or defer the claim.
  • Best for: Finished proofs, paper sections, formal bounds, and theory-heavy arguments that need a red-team pass before submission or release.

Quick Start

Ask this Skill to audit the theorem or proof section you just finished and identify the strongest concern, the strongest defense, and the condition that would dissolve it.

Frequently Asked Questions about auditing-mathematical-claims

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

FAQPage Schema
How do I check a mathematical proof for hidden assumptions before publication?

Auditing mathematical claims involves adversarially reviewing formal proofs to surface implicit assumptions, score concerns by severity and likelihood, and produce a remediation table with falsifiable stop conditions for each theorem or lemma.

How do I identify weak links in formal mathematical bounds and asymptotic arguments?

An adversarial math review identifies weak links in formal bounds and asymptotic arguments by generating the strongest counter for each claim. It then recommends whether to tighten, restrict, weaken, disprove, or defer the statement based on concern severity.

What is the best way to red-team a formal theorem against counterexamples?

The best way to red-team a formal theorem is to apply an adversarial math review that prioritizes remediation by severity, likelihood, and detectability, producing a four-field table with a falsifiable stop condition for each claim.

Does theorem checking work for definitions and equations, or only full proofs?

Theorem checking works for definitions, equations, lemmas, bounds, identities, and asymptotic arguments. It breaks any formal mathematical claim into a four-part review to surface missing details like operation preservation and constants.

When should I not use an adversarial math review for my claims?

You should not use an adversarial math review for empirical claims, as this process is specifically designed to audit formal mathematical arguments, proofs, and definitions rather than data-driven or experimentally validated assertions.