MathModeling-skills: 面向数学建模竞赛的 Claude Code / Codex Skills ,支持分阶段建模流程与 Python、MATLAB/北太天元代码分支

by zhnnky329 · Codex Skill · ★ 1.1k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install MathModeling-skills

git clone https://github.com/zhnnky329/MathModeling-skills.git .skills-tmp
git clone https://github.com/zhnnky329/MathModeling-skills.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 60/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

Quick Facts

Stars1,061
Forks41
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score60/100
Open Issues3
Last Updated2026-09-24
Created2026-04-26
Platformsclaude-code, codex, python
Est. Tokens~18k

About MathModeling-skills

English · 简体中文 · Project Rules · Initial Prompt · 📧 Contact [!NOTE] Update — this is now an assistant, not an autopilot. The earlier version ran the whole contest end to end and left the user only clicking "confirm", which is closer to ghost-writing: it does not fit most contests' rules, and it does little for your own skills.

Compatible Skills

These tools work well together with MathModeling-skills for enhanced workflows:

  • matlab-agentic-toolkit — semantic(0.54)+complementary+similar_pop+shared_platform (59%)
  • matlab-mcp-core-server — semantic(0.50)+complementary+similar_pop+shared_platform (58%)
  • agent-skills-playground — semantic(0.50)+complementary+similar_pop+shared_platform (58%)
  • turbo — semantic(0.34)+complementary+similar_pop+shared_platform (52%)
  • skills — semantic(0.45)+complementary+similar_pop+shared_platform (51%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse Codex Skill tools