math-checker

Verify mathematical expressions in M2G-Net code against documentation.

1|Updated May 10, 2026

Search Tags:#code review #code correctness #math verification #M2G-Net #math implementation

Ready to run

npx skills add https://github.com/Cuki2910/M2G-NET --skill math-checker

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: math-checker
Source: https://github.com/Cuki2910/M2G-NET/tree/main/.agents/skills/math-checker
Command: npx skills add https://github.com/Cuki2910/M2G-NET --skill math-checker

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps maintain the accuracy of mathematical implementations in the M2G-Net codebase by independently verifying that code matches documentation.

Core Features & Use Cases

Verification: Checks src/ code against docs/MATHEMATICAL_FORMULAS.md.
Automated: Executes python scripts/verify_math.py for automated checks.
Use Case: Run this Skill after modifying src/fusion.py, src/model.py, src/interaction.py, or src/loss.py to ensure code changes haven't affected the accuracy of the math implementation.

Quick Start

Use the math-checker skill to run the independent math verification for the M2G-NET codebase.

Frequently Asked Questions about math-checker

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

FAQPage Schema

How do I verify math correctness in M2G-Net code after modifications?▼

To verify math correctness in M2G-Net code, execute `python scripts/verify_math.py`. This independently checks your modified `src/` modules against `docs/MATHEMATICAL_FORMULAS.md` to ensure implementation consistency.

What does automated math verification check for in a machine learning codebase?▼

Automated math verification checks mathematical expressions in your machine learning codebase against documentation. It ensures that implementations in modules like `src/fusion.py` and `src/model.py` remain accurate and consistent with their formulas.

Do I need any external dependencies to run math verification for M2G-Net?▼

You need no external dependencies to run math verification for M2G-Net. The process relies solely on executing the standalone `python scripts/verify_math.py` script without context dependency to confirm math correctness.

When should I run math implementation checks on my M2G-Net project?▼

You should run math implementation checks on your M2G-Net project immediately after modifying core files like `src/fusion.py`, `src/model.py`, `src/interaction.py`, or `src/loss.py`. This ensures code changes have not affected mathematical accuracy.

What is the best way to ensure code matches mathematical formulas in M2G-Net?▼

The best way to ensure code matches mathematical formulas in M2G-Net is using an independent verification script. Running `verify_math.py` directly compares `src/` code implementations against `MATHEMATICAL_FORMULAS.md` documentation.