mathmodel-methods SKILL.md skillA

mathmodel-methods from escap1ng/mathmodel-studio is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add escap1ng/mathmodel-studio/mathmodel-methods@git:20261031.0bf2310

Pins git:20261031.0bf2310 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
escap1ng/mathmodel-studio
Path
skills/mathmodel-methods/SKILL.md
Versions recorded
2
Latest version
git:20261031.0bf2310, committed Oct 31, 2026
First version recorded
Oct 20, 2026
Size
5,382 bytes
Repository stars
7
License
AGPL-3.0

数学建模方法库与选型技能:按问题族(评价/排序、优化、预测、分类聚类、微分方程、仿真、信号处理、前沿创新)给出候选算法、适用边界、实现入口与验证方式,覆盖基础数值、经典优化、图论网络、群体智能、机器学习、统计与数据挖掘、综合评价、物理工程建模与前沿方法,并附候选对比表模板、问题递进关系与常用库速查。当用户问"这题用什么算法""推荐建模方法""算法选型对比""某类问题怎么建模求解"时使用;论文写作、排版、出图、去 AI 与评分分别改用 mathmodel-paper / mathmodel-figure / mathmodel-diagram / mathmodel-deai / mathmodel-score。.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# 数学建模方法库与选型(mathmodel-methods)

把「某类问题该用什么方法」做成可检索、可对比、可复核的知识层:方法清单、选择依据、实现入口、
验证方式各自成文,方法名与适用边界以本技能为唯一出处。**方法选型的最终判断仍由使用者做出**,
本技能给候选与依据,不给标准答案。

## 快速路径

1. **给问题定性**:判断子问题属于哪个问题族(优化 / 预测 / 评价 / 分类 / 微分方程 / 仿真 / 信号),
   依据是数据结构、约束条件与要回答的结论,而不是题目出现的章节顺序。
2. **取候选**:按 [docs/selection-guide.md](docs/selection-guide.md) 的「问题族 → 首选/备选」表取 2–3 个候选
   (至少 1 个具备创新性),方法细节查 [docs/method-library.md](docs/method-library.md)。
3. **出对比表并交由用户选择**:用 [docs/selection-guide.md](docs/selection-guide.md) 的候选对比表模板,
   标注推荐项与一句推荐理由;用户确认后再实现。
4. **实现与验证**:[docs/implementation-guide.md](docs/implementation-guide.md) 给出推荐库、最小可运行骨架
   与按问题类型匹配的验证手段;预测类在写模型前先按该文件第 3.5 节确认各附件是训练集还是预测集,
   用反会让结果退化为 0 或常数;出图交给 `mathmodel-figure` / `mathmodel-diagram`,成稿交给 `mathmodel-paper`。

## 选型三原则(强制)

1. **拟合性优先于高级性**:先选与问题结构、数据规模、约束条件最匹配的方法(可求解、结果可靠、可解释),
   再在匹配的基础上考虑创新性;禁止为炫技引入与问题不适配的高深算法。
2. **方法梯度**:能用初等方法解决的不用高等方法,能用简单方法解决的不用复杂方法,
   能用被更多人看懂的方法不用只有少数人看懂的方法。
3. **创新需回答一个问题**:创新点要说明「解决了旧方法解决不了的什么问题」;适配与创新冲突时适配优先。

## 问题族速查

| 问题族 | 首选 | 备选与延伸 |
|---|---|---|
| 评价 / 排序 | 熵权-TOPSIS | AHP、CRITIC、灰色关联分析、模糊综合评价、DEA |
| 优化(连续 / 非线性) | 非线性规划(SLSQP / trust-constr) | 凸问题 cvxpy;多目标 NSGA-II/III |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add escap1ng/mathmodel-studio/mathmodel-methods@sha256:56c078d290f86112

The line at the top of this page pins the label git:20261031.0bf2310, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_wzrmgipcx3zuwtk5.svg)](https://markdownregistry.com/a/art_wzrmgipcx3zuwtk5)

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Versions

The registry has recorded 2 versions of this file, between Oct 20, 2026 and Oct 31, 2026, about one every 11 days.

versioncommittedcommitsizeaudit
git:20261031.0bf2310 latest2026-10-31 0bf2310 5,382 BA view · diff
git:20261020.484a1872026-10-20 484a187 5,241 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (5382 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

escap1ng/mathmodel-studio · 7 stars · license AGPL-3.0 · pushed 2026-11-04 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_wzrmgipcx3zuwtk5
GET https://markdownregistry.com/api/v1/resolve?ref=escap1ng/mathmodel-studio/mathmodel-methods
GET https://markdownregistry.com/api/v1/blob/56c078d290f86112e0ae8890e3a31d33c58346c006906687d8d3a526d4a6c01f

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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