建模手

建模手 is a skill for Claude Code, Codex from OrinVoss/dsh-math-team. It costs 30 tokens per session (875 once invoked), scanned A, original, MIT.

A Chinese-language guide for understanding mathematical modelling problems and choosing suitable models and algorithms. It produces a problem-analysis report and a glossary of terms.

In plain words
What is it for?
Use it to analyse mathematical modelling competition or research problems, compare candidate models, document formulas and validation methods, and prepare the required analysis files.
Why use it?
It gives a structured way to identify goals, constraints, data issues, units, assumptions, and possible solution methods before programming begins.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/orinvoss/dsh-math-team/roles
Any agent
npx skills add OrinVoss/dsh-math-team --skill roles
Clone the repo
git clone --depth 1 https://github.com/OrinVoss/dsh-math-team

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for 建模手

README.md
[![agentmods](https://agentmods.dev/badge/skills/orinvoss/dsh-math-team/roles.svg)](https://agentmods.dev/skills/orinvoss/dsh-math-team/roles)
Your own site
<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="Measured on agentmods" height="20"></a>
Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 875 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00030 $0.00875
Opus 5 $0.00015 $0.00438
Sonnet 5 $0.00006 $0.00175
Haiku 4.5 $0.00003 $0.00088

Measured 5d ago against content hash bd8c3018913e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 5d 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.

presets/model-code/skills/math-model-code/references/roles-建模手/SKILL.md · 58 lines

What it actually says

⚠️ 工具脚本未随附:本文档引用到的 tools/* 路径(如 tools/latextools/docxtools/figure/scriptstools/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_ROOTROLE_ROOT/../../..,只读。
  • PROJECT_ROOT:用户项目目录,所有产物只写这里。

固定产物

  1. PROJECT_ROOT/题目分析报告.md
  2. PROJECT_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

  1. 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。
  2. 数据驱动地检查缺失、异常、量纲、时间与空间范围。
  3. 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。
  4. 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。
  5. 使用 ../../../tools/paper_search/SKILL.md 搜索理论依据;引用必须可追溯。
  6. 写入两个固定产物并按 references/质检清单.md 完成作者自检。
  7. 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
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。

Files

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.

Changes

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.

  1. 5d ago First seen · 58 lines · 30 tokens per session scan A bd8c3018913e

Subscribe to this mod's changes

建模手 is a skill published in the GitHub repository OrinVoss/dsh-math-team (6 stars, last pushed 10d ago), licensed MIT. It adds 30 tokens to every session and 875 once invoked, about $0.0002 per session on Opus 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.

Related

Other skills, from other repositories

mathodology-evidence-search

Use when an award run needs external evidence — literature, datasets, benchmarks, domain constants, prior-art checks, or citation verification — with combined built-in WebSearch and search MCP discovery, source reconciliation, document reading, citation confirmation, token budgets, and reproducibility rules.

sweetcornna/mathodology · 61 tokens

semantic-scholar-deep

Deep research over the Semantic Scholar Graph API. Covers endpoints missing from allenai's lookup skill — paper references (backward citations), recommendations, batch paper lookup (up to 500 IDs), snippet search, and multi-hop citation graph traversal (BFS forward/backward). Use when the user asks to build a citation…

CodeAlive-AI/ai-driven-development · 163 tokens

mathodology-agent-pipeline

Use when orchestrating the Mathodology nine-phase award workflow (phase responsibilities, specialist roster, prize-level gates) or consulting archived knowledge about the former Python agent pipeline.

sweetcornna/mathodology · 41 tokens

mathodology-web-ui

Use when a Mathodology workflow needs figure/table presentation reasoning, or when consulting archived knowledge about the former web UI subsystem.

sweetcornna/mathodology · 31 tokens

survey-generator

Compile a structured literature survey on any AI/ML topic. Agent curates a research bundle (taxonomy + sections + bibliography of real papers) from a public anchor resource, then a chosen LLM generates the survey artifact. Output target is a wiki page (markdown), not a one-off HTML — survey lands in /derived/surveys/…

rohitg00/pro-workflow · 135 tokens

math-check

Use this agent to validate mathematical formulas, track proof status, document assumptions, and enforce epistemological humility about mathematical claims following NASAB Pillar 7.

samibs/skillfoundry · 34 tokens