verify-math

Verify mathematical claims through numerical, symbolic, and formal Lean proofs.

127|22|Updated Feb 20, 2026

Search Tags:#numerical analysis #symbolic computation #mathematical verification #verification spectrum #Lean proof

Ready to run

npx skills add https://github.com/flonat/flonat-research --skill verify-math

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: verify-math
Source: https://github.com/flonat/flonat-research/tree/main/skills/verify-math
Command: npx skills add https://github.com/flonat/flonat-research --skill verify-math

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a systematic approach to verify mathematical claims, ensuring their accuracy by routing them through the appropriate verification spectrum.

Core Features & Use Cases

Mathematical Verification: Route mathematical claims through a spectrum of methods, from numerical falsification to formal Lean proof.
Adaptive Verification: Automatically select the most appropriate verification method based on the claim's nature.
Aggregate Reporting: Compile verification results into a comprehensive report, indicating the overall status of the claim.

Quick Start

To verify a mathematical claim, use the command: /verify-math <claim>

Frequently Asked Questions about verify-math

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

FAQPage Schema

How do I verify a mathematical claim using formal proof methods?▼

Use the command `/verify-math <claim>` to automatically route the mathematical claim through a verification spectrum, selecting methods from numerical falsification to formal Lean proof based on the claim's nature.

What is the difference between numerical falsification and symbolic computation for math verification?▼

The verification spectrum routes claims adaptively: numerical falsification quickly tests for counterexamples, symbolic computation performs algebraic checks, and formal Lean proofs provide rigorous logical validation.

Can I use Lean proof verification for academic research tasks?▼

Yes, this approach is suitable for academic research and formal verification tasks, utilizing formal Lean proofs to rigorously validate mathematical claims alongside numerical and symbolic methods.

Do I need advanced mathematical knowledge to use formal verification tools?▼

Yes, verifying mathematical claims through this verification spectrum requires mathematical knowledge and the ability to execute complex algorithms for tasks like formal Lean proofs and symbolic computation.

How does adaptive mathematical verification select the right checking method?▼

Adaptive verification automatically selects the most appropriate method—numerical falsification, symbolic checks, or formal Lean proofs—based on the mathematical claim's nature, compiling results into an aggregate report.