No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by zhnnky329 · Codex Skill · ★ 599
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is MathModeling-skills safe to install? View the security audit →
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. This version hands the key judgments back to the user — the AI returns to a supporting role, and you stay in charge. The skill count went from 24 to 28. The previous full-auto version is kept intact on the branch; switch to it if you prefer the old behavior. A set of skills for math-modeling contests, built around the mistakes that tend to cost the most time. They sit behind a set of hard gates — two of which
| Stars | 599 |
| Forks | 27 |
| Language | Shell |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 60.3643205683093/100 |
| Open Issues | 3 |
| Last Updated | 2026-08-24 |
| Created | 2026-04-26 |
| Platforms | claude-code, cli, codex |
| Est. Tokens | ~15k |
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MathModeling-skills is 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。. It is categorized as a Codex Skill with 599 GitHub stars.
MathModeling-skills is primarily written in Shell.
You can find installation instructions and usage details in the MathModeling-skills GitHub repository at github.com/zhnnky329/MathModeling-skills. The project has 599 stars and 27 forks, indicating an active community.
MathModeling-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to MathModeling-skills on Agent Skills Hub include Claude-to-IM-skill, skillshare, learning-opportunities. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.