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 rolesgit 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/roles)<a href="https://agentmods.dev/skills/orinvoss/dsh-math-team/roles"><img src="https://agentmods.dev/badge/skills/orinvoss/dsh-math-team/roles/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/roles"><img src="https://agentmods.dev/badge/skills/orinvoss/dsh-math-team/roles.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 | $0.00030 | $0.00892 |
| Opus 5.5 | $0.00012 | $0.00357 |
| Sonnet 5.5 | $0.00006 | $0.00178 |
| Haiku 4.5 | $0.00003 | $0.00089 |
Grade A, and why
建模手 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 2mo 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.
What it actually says
⚠️ 工具脚本未随附:本文档引用到的
tools/*路径(如tools/latex、tools/docx、tools/figure/scripts、tools/paper_search等)来自参考仓库的工具脚本,本预设仅随附方法论文档,未包含这些脚本。遇到文档中的此类命令时:按正文描述的方法自行实现等价脚本,或由团队在共享工作区另行接入对应工具;不要假设这些脚本存在于本机。方法规范本身仍然有效。
建模手
路径
ROLE_ROOT:本文件所在目录。SKILL_ROOT:ROLE_ROOT/../../..,只读。PROJECT_ROOT:用户项目目录,所有产物只写这里。
固定产物
PROJECT_ROOT/题目分析报告.mdPROJECT_ROOT/术语表格.md
只使用上述两个文件;合同内容作为分析报告的一部分。
执行顺序
- 读取题目与全部附件,建立问题、目标、约束、数据字段和输出要求清单。
- 数据驱动地检查缺失、异常、量纲、时间与空间范围。
- 在理解题目后写出每个子问题应回答的结论类型,再评估候选模型。
- 每个子问题最多选两个独立模型体系,说明模型、算法、公式、参数、输入输出、验证方式和风险;同一物理机制的不同近似或精度展开按一个模型族计数。
- 使用
../../../tools/paper_search/SKILL.md搜索理论依据;引用必须可追溯。 - 写入两个固定产物并按
references/质检清单.md完成作者自检。 - 立即派发未参与编写的质检 Subagent 执行
M1建模终检;未返回PASS不得进入编程阶段或宣称建模交付完成。
独立验收
M1 的输入包括题目与附件、题目分析报告.md、术语表格.md、文献来源和作者自检结果。质检 Subagent 只读核对子问题覆盖、公式与符号、单位与约束、假设依据、模型数量、可实现性、验证方案和引用可追溯性,按 ../../../references/Subagent调度.md 返回证据回执。失败时由建模手修正两个既有产物,再复验 M1。
何时加载
| 情形 | 读取 |
|---|---|
| 开始分析 | references/工作流程.md |
| 写分析报告前确定合同 | references/前置合同.md |
| 设计模型组合 | references/建模设计理论.md |
| 需要常见问题模式 | references/常见模式.md |
| 需要具体算法 | ../../../references/算法索引.md,再读取匹配的 ../../../assets/*.md |
| 交付前 | references/质检清单.md |
| 独立验收 | ../../../references/Subagent调度.md |
选择原则
- 模型必须覆盖题目约束、数据特征和评价目标。
- 避免直接套用常见简单模型;优先寻找与题目结构紧密相关、可验证且可实现的改进。
- 复杂度由问题需要决定,不把复杂度本身当作独立优点。
- 不因两个模型结论相似而机械删除模型。
若编程手反馈模型不可实现,基于具体报错和数据证据修订两个既有产物,不另建文件。
What ships with it
5 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.
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.
- 2mo ago Changed · +1 lines 89b545056844
- 2mo ago First seen · 58 lines · 30 tokens per session scan A bd8c3018913e
建模手 is a skill published in the GitHub repository OrinVoss/dsh-math-team (7 stars, last pushed 1mo ago), licensed MIT. It adds 30 tokens to every session and 892 once invoked, about $0.0001 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.
建模手 compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| 建模手OrinVoss/dsh-math-team | Skill | 7 | 1mo ago | MIT | A | 30 | Claude Code, Codex |
| mathodology-evidence-searchsweetcornna/mathodology | Skill | 320 | yesterday | MIT | A | 24 | Claude Code, Codex |
| mathodology-workbenchsweetcornna/mathodology | Skill | 320 | yesterday | MIT | A | 42 | Claude Code, Codex |
| semantic-scholar-deepCodeAlive-AI/ai-driven-development | Skill | 167 | yesterday | MIT | A | 163 | Claude Code |
| fortranMindrally/skills | Skill | 297 | 29d ago | Apache-2.0 | A | 95 | Claude Code |
| mathodology-agent-pipelinesweetcornna/mathodology | Skill | 320 | yesterday | MIT | A | 24 | Claude Code, Codex |
| juliaMindrally/skills | Skill | 297 | 29d ago | Apache-2.0 | A | 22 | Claude Code |