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Updated 2w ago

by chengziyue1222

math-model-agent

Evidence-first mathematical modeling toolkit with reusable algorithms, Codex Skills, validation workflows, and competition-paper tooling.

Works with
  • Codex
View on GitHub (opens in a new tab)

23 GitHub stars (23)

Steady at 23 stars — no new stars in the 16 days since Sep 30.

  • 8 skills (8 skills found in its SKILL.md files)
  • 2 forks (2 forks)
  • 2w ago last update (Last updated 2w ago)

Install

Skills CLI

npx skills add chengziyue1222/math-model-agent

Asks which skills and agents to install. Just one: npx skills add chengziyue1222/math-model-agent --skill analyze-model-data — add -g for every project.

Claude Code

git clone https://github.com/chengziyue1222/math-model-agentcp -r "math-model-agent/skills/analyze-model-data" ~/.claude/skills/

Copies the analyze-model-data skill into ~/.claude/skills/ for every project (use .claude/skills/ for one project). Repeat for the other skills listed below.

Plugin

/plugin marketplace add chengziyue1222/math-model-agent

Run inside Claude Code if the repository ships a plugin marketplace, then pick plugins from /plugin.

Skills can run code on your machine — read the SKILL.md first.

What it does

In the author's own words, from each skill's SKILL.md.

  • analyze-model-data

    Inspect, clean, analyze, and model tabular data for mathematical modeling tasks. Use when Codex needs exploratory analysis, missing-value or anomaly handling, feature engineering, statistical testing, regression or classification, train/test evaluation, or reproducible data artifacts.

    skills/analyze-model-data/SKILL.md on GitHub (opens in a new tab)

  • make-model-figures

    Design, generate, improve, audit, and export evidence-centered figures for mathematical modeling analysis and competition papers. Use for data or model visualizations, multi-panel result figures, mechanism and workflow diagrams, sensitivity or robustness graphics, palette redesign, print-size QA, and reproducible vector/raster delivery; do not route ordinary data analysis here when no figure is r…

    skills/make-model-figures/SKILL.md on GitHub (opens in a new tab)

  • research-model-literature

    Search, verify, synthesize, and cite literature for mathematical modeling. Use when Codex needs prior models, parameter sources, benchmark methods, datasets, a literature review, research-gap analysis, or verified BibTeX for a competition paper.

    skills/research-model-literature/SKILL.md on GitHub (opens in a new tab)

  • review-model-paper

    Audit mathematical-modeling papers for reasoning, evidence, figures/tables, citations and final layout. Use when Codex needs a pre-submission review, revision plan, claim verification, or LaTeX/Typst/Markdown inspection.

    skills/review-model-paper/SKILL.md on GitHub (opens in a new tab)

  • run-modeling-project

    Coordinate a mathematical-modeling project from problem intake through analysis, model selection, solution, figures, paper, review and delivery. Use when Codex needs to organize a complete modeling workflow or hand off between modeling Skills.

    skills/run-modeling-project/SKILL.md on GitHub (opens in a new tab)

  • select-model

    Select and justify mathematical models for competition problems. Use when Codex needs to classify a modeling problem, compare candidate methods, design a primary/backup/validation model combination, or explain why a model fits the available data and constraints.

    skills/select-model/SKILL.md on GitHub (opens in a new tab)

  • solve-model

    Formulate, implement, solve, and validate mathematical models with the repository algorithm library. Use when Codex needs to translate assumptions into equations, call or extend algorithms, optimize parameters, run simulations, or perform sensitivity and robustness analysis.

    skills/solve-model/SKILL.md on GitHub (opens in a new tab)

  • write-model-paper

    Generate rigorous, readable mathematical-modeling papers from problem analysis, models, results, figures, tables and verifiable sources. Use when Codex needs a competition paper or a grounded modeling report.

    skills/write-model-paper/SKILL.md on GitHub (opens in a new tab)

Review before you install

A skill is a set of instructions and scripts your agent will follow, and it can run code on your machine. Read the SKILL.md and any scripts first — this listing is not a security review.