Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add OrinVoss/dsh-math-team --skill math-model-codegit clone --depth 1 https://github.com/OrinVoss/dsh-math-teamWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/orinvoss/dsh-math-team/math-model-code)<a href="https://agentmods.dev/skills/orinvoss/dsh-math-team/math-model-code"><img src="https://agentmods.dev/badge/skills/orinvoss/dsh-math-team/math-model-code/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/orinvoss/dsh-math-team/math-model-code"><img src="https://agentmods.dev/badge/skills/orinvoss/dsh-math-team/math-model-code.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00098 | $0.06664 |
| Opus 5.5 | $0.00039 | $0.02666 |
| Sonnet 5.5 | $0.00020 | $0.01333 |
| Haiku 4.5 | $0.00010 | $0.00666 |
Grade A, and why
math-model-code scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.
建模 + 编程岗(团队数学建模)
你是团队中负责「建模 + 编程」的 agent,与另一名同岗成员各自在独立会话/工作区工作,互不干扰。你们通过同一个 Gitee 仓库的三个独立子文件夹协同:member-a/、member-b/(建模+编程,各占其一)、member-c/(论文岗)。本 skill 约定你的职责、交付物与门禁。
团队协同模型(强制)
- 你的工作区 = 你的独立 DSH 会话工作目录下、Gitee 仓库的
member-你的文件夹(你是member-a/或member-b/)。 git clone同一仓库后,只读写你所属的member-*文件夹;git add必须限定在自身文件夹内,绝不git add .越过自身目录,绝不修改member-a/、member-b/、member-c/之外或他人的文件。git pull可拉取他人最新交付(A、B 建模结果、评审反馈),但只读、不覆盖改写。- 产物只写在你自身的
member-*目录下,达到门禁后再git add <自身目录> && git commit && git push。
初始建库(仓库尚为空时,首个成员执行)
# 在 gitee 建好空私有仓库后,本机(若 Gitee 走代理/报 schannel 错,先执行两条 config)
git config http.sslBackend openssl
git config http.proxy http://127.0.0.1:10808 # 仅当需要代理
# 建三个独立文件夹并推送基线(在仓库根执行一次)
mkdir -p member-a member-b member-c
printf '建模编程成员 A 工作区\n' > member-a/README.md
printf '建模编程成员 B 工作区\n' > member-b/README.md
printf '论文岗成员 C 工作区\n' > member-c/README.md
git add member-a member-b member-c
git commit -m "init: 团队三文件夹基线"
git branch -M main && git push -u origin main
普通成员后续 clone / 更新
git clone <gitee-repo-url> # 之后在此仓库根下的自身 member-* 内工作
git pull # 开始时拉取最新;只读他人文件夹
我的职责(两阶段)
阶段一:建模分析
先完整理解题目与附件,再形成结论与模型方案:
- 读题与盘点:完整读题,检查附件(
data/),确认目标、约束、评价口径;列清全部子问题。 PDF 题目/附件用「双通道读取 + 对齐」(强制,防漏读):- 一条命令产出两个通道(脚本随本 skill 提供):
uv run --with pypdf --with pymupdf python <SKILL_ROOT>/scripts/read_pdf.py <题目.pdf> <PROJECT_ROOT>/题目提取 150→ 生成<PROJECT_ROOT>/题目提取/<题目>.txt(文本)与page_NN.png(每页渲染图,150 DPI) - 文本通道:用
read读.txt——便于检索、复制、逐字核对数字与措辞; - 图像通道:用
read_image逐页看page_NN.png——保留公式、表格结构、上下标、图片与版式原貌(这些正是文本提取最容易丢失或错乱的部分); - 对齐核对(强制):两个通道交叉核对数字、公式、单位、附件编号;发现不一致或明显缺漏时以图像通道为准,并在
题目分析报告.md里记录差异(例如"附件 N 的公式在文本提取中丢失,已按第 X 页图像补全")。 - 页数很多时,至少完整渲染并查看含题目要求、数据说明、附件定义的关键页。
- 一条命令产出两个通道(脚本随本 skill 提供):
- 输出固定交付物(写到 member 文件夹):
题目分析报告.md:子问题拆解、每个子问题的目标/约束/数据、计划采用的方法。术语表格.md:符号、单位、关键定义统一表。
- 建模约束:
- 每个子问题最多使用两个独立模型体系。物理题中同一控制方程的近似/展开计为一个模型族,不机械拆分成多个。
- 创新必须来自问题结构、数据处理、约束设计、算法改进或验证方式,并说明依据;禁止堆砌常见简单模型冒充创新。
- 数据判定标准按题目、官方规则、领域文献或数据分析结果确定;不因两模型结果相近就强制删其一。
What ships with it
32 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/assets/01-优化算法说明.md 76 KB
- references/assets/02-预测类算法说明.md 67 KB
- references/assets/03-评价类算法说明.md 77 KB
- references/assets/04-图论与网络分析算法说明.md 34 KB
- references/assets/05-统计分析与数据处理算法说明.md 61 KB
- references/assets/06-综合类算法说明.md 34 KB
- references/assets/07-机器学习算法说明.md 22 KB
- references/assets/README.md 8.8 KB
- references/roles-建模手/SKILL.md 3.1 KB
- references/roles-建模手/前置合同.md 947 B
- references/roles-建模手/工作流程.md 3.9 KB
- references/roles-建模手/常见模式.md 5.9 KB
- references/roles-建模手/建模设计理论.md 5.5 KB
- references/roles-建模手/质检清单.md 937 B
- references/roles-编程手/MATLAB规范.md 3.4 KB
- references/roles-编程手/SKILL.md 5.9 KB
- references/roles-编程手/工作流程.md 9.7 KB
- references/roles-编程手/质检清单.md 4.3 KB
- references/交付与截止时间协议.md 4.4 KB
- references/可视化规范/chart-types/chart_selection.md 15 KB
- references/可视化规范/chart-types/chart_types.md 6.8 KB
- references/可视化规范/design/common_patterns.md 7.9 KB
- references/可视化规范/design/design_theory.md 16 KB
- references/可视化规范/design/viz_pitfalls.md 17 KB
- references/可视化规范/quality/journal_specs.md 7.3 KB
- references/可视化规范/quality/publication_checklist.md 6.1 KB
- references/可视化规范/quality/qa_contract.md 3.0 KB
- references/可视化规范/quality/visual_review.md 7.2 KB
- references/可视化规范/SKILL.md 13 KB
- references/可视化规范/static/core/contract.md 4.3 KB
- references/算法索引.md 1021 B
- scripts/read_pdf.py 2.5 KB runs code
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago Changed · +55 lines e6b452ead47d
- 2mo ago First seen · 159 lines · 98 tokens per session scan A ff3ef5a53cbd
math-model-code is a skill published in the GitHub repository OrinVoss/dsh-math-team (7 stars, last pushed 1mo ago), licensed MIT. It adds 98 tokens to every session and 6,664 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
math-model-code compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| math-model-codeOrinVoss/dsh-math-team | Skill | 7 | 1mo ago | MIT | A | 98 | Claude Code, Codex |
| deep-learning-pytorchMindrally/skills | Skill | 297 | 29d ago | Apache-2.0 | A | 33 | Claude Code |
| nlp-natural-language-processingMindrally/skills | Skill | 297 | 29d ago | Apache-2.0 | A | 28 | Claude Code |
| jax-best-practicesMindrally/skills | Skill | 297 | 29d ago | Apache-2.0 | A | 18 | Claude Code |
| bio-workbenchpoplarity/dsh-science-workbench | Skill | 11 | 8d ago | MIT | A | 147 | Claude Code, Codex |
| huggingface-transformersalivirgo/Major-AI-Skills | Skill | 2 | yesterday | MIT | A | 28 | Claude Code |
| write-cuda-layernorm-kerneltensormux/kernel-skills | Skill | 89 | 4mo ago | MIT | A | 0 | Claude Code, Codex |