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 Lucasuiii · Claude Skill · ★ 85
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is modeling-workbench safe to install? View the security audit →
Modeling Workbench 简体中文 | English 一套以全国大学生数学建模竞赛为基础的 AI agent 工作流：从官方材料出发，把建模、计算、复核、论文和最终交付串成一条可检查、可追溯的证据链。Skill 同时提供其他建模比赛的题型指导、自主选题和中英文写作方法。 官方材料固定 → 题目拆解 → 候选模型试算 → 正式计算 → 独立复核 → LaTeX 论文 → PDF QA 与交付 它不提供现成答案，也不替你判断模型是否正确；它负责让每一个写进论文的结论都能追回到官方题目和一次真实发生过的计算，并在模型选择、写论文前的结论、最终交付三个关键节点把决定交还给你。 支持 Codex 与 Claude Code。当前版本 v0.6；不向下兼容旧版本工作区。 仓库名称为 ；Skill 调用名仍为 ，Skill 目录与 工作区格式保持不变。 比赛支持范围 支持多比赛共用建模、计算、复核和中英文 LaTeX/PDF 交付链。 论文初始化可指定真实比赛名称与语言，随后使用同一套编译、逐页检查、源码打包和人工确认流程。 通用骨架不等于官方模板。 初始化器不会根据比赛名称猜测页数或排版规则；存在已声明的官方论文模板时，仍须先采用或适配该模板。格式合规、实际页面质量和交付批准保留原有核验要求。DOCX 导出与任意官方模板的自动转换尚未提供。 使用时提供比赛名称、年份、官方材料、论文语言和目标交付格式。agent 在结论经你确认后，可按以下方式初始化论文，再接原有编译和交付流程： 为 Skill 的 绝对路径。中文论文用 ；省略新参数时仍按 CUMCM/中文初始化，原有调用与 v0.6 工作区无需迁移。详情见比赛适配指南。 验证覆盖中英文骨架的实际编
| Stars | 85 |
| Forks | 6 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 62.7881258910842/100 |
| Last Updated | 2026-09-20 |
| Created | 2026-08-29 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~18k |
Looking for a modeling-workbench alternative? If you're comparing modeling-workbench with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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modeling-workbench is Contest-native, evidence-focused math modeling workflow for Codex and Claude Code. It is categorized as a Claude Skill with 85 GitHub stars.
modeling-workbench is primarily written in Python. It covers topics such as agent-skill, claude-code, codex.
You can find installation instructions and usage details in the modeling-workbench GitHub repository at github.com/Lucasuiii/modeling-workbench. The project has 85 stars and 6 forks, indicating an active community.
modeling-workbench is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to modeling-workbench on Agent Skills Hub include math-modeling-skills, mathmodel-skill, frontend-design. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: