mm-review

Score mathematical modeling projects across consistency, credibility, and chart quality.

5|Updated Apr 21, 2026
One-click install
npx skills add https://github.com/911439925/math-modeling-skill --skill mm-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mm-review
Source: https://github.com/911439925/math-modeling-skill/tree/main/plugins/math-modeling/skills/mm-review
Command: npx skills add https://github.com/911439925/math-modeling-skill --skill mm-review

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the process of performing a detailed, multi-dimensional quality review of mathematical modeling projects, ensuring unbiased, thorough evaluations.

Core Features & Use Cases

  • Global Quality Evaluation: Conducts an independent assessment across multiple dimensions such as result consistency, numerical credibility, and chart quality.
  • Automated Scoring & Reporting: Quantifies the quality using precise scores and provides actionable feedback for improvement.
  • Use Case: When a team completes a complex modeling submission, use this Skill to automatically evaluate the overall quality and highlight areas needing rework, saving reviewer effort and increasing objectivity.

Quick Start

Provide the entire workspace output files to the Skill and request a comprehensive quality review with scoring and suggestions.

Frequently Asked Questions about mm-review

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

FAQPage Schema
How do I automate quality assessment for a mathematical modeling project?

To automate quality assessment, provide your complete modeling workspace files to the system for a comprehensive review. It evaluates consistency, credibility, coverage, and chart visual quality, returning precise scores and actionable improvement suggestions.

What is multi-dimensional model validation for mathematical modeling outputs?

Multi-dimensional model validation is an automated review mechanism that assesses the consistency, credibility, and coherence of your analysis files and generated charts. It uses predefined criteria to quantify quality and ensure unbiased, standardized evaluation.

Can I use automated scoring to review multiple analysis files and modeling results together?

Yes, you can use automated scoring to review multiple analysis files and modeling results simultaneously. The system performs a thorough, global quality evaluation across all provided workspace outputs to assign scores and highlight areas needing rework.

Does automated model review evaluate the visual quality of generated charts?

Yes, automated model review evaluates the visual quality of generated charts. It assesses diagrams alongside numerical credibility and evidence coverage to provide a comprehensive, multi-dimensional quality score for your submission.

What's the best way to get standardized improvement suggestions for mathematical modeling results?

The best way to get standardized improvement suggestions is to request a comprehensive quality review of your entire project. The system quantifies quality using detailed predefined criteria and provides actionable feedback to save reviewer effort.

Do I need specific dependencies to perform an unbiased model review?

No specific dependencies are required to perform an unbiased model review. You simply need to provide the entire workspace output files, and the automated system will independently assess the modeling quality without external modules.