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Hwb Model Dictionary

Community
xieyouxixi
hwb-model-dictionary

Judge whether a candidate model actually fits a HUAWEI Cup problem, its data and its intended use, returning a model archive with requirements, assumptions, strengths, limitations, failure conditions, validation routes and alternative models. Use when a team is choosing models and needs a data-driven fit decision instead of a generic model list.

Overview

Publisherxieyouxixi
Repositoryhwb-math-modeling-skills
Skill namehwb-model-dictionary
Stars
193
Forks
5
Bundled files
6
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 6 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by xieyouxixi on GitHub. Read the source before you install it.

Installation

Install the Hwb Model Dictionary AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/xieyouxixi/hwb-math-modeling-skills/tree/main/skills/论文自查类/hwb-model-dictionary
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Use it in TypingMind

Enable Hwb Model Dictionary in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Hwb Model Dictionary on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Hwb Model Dictionary is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

HWB Model Dictionary

判断候选模型与研赛题目、数据及预期用途之间是否真的适配。禁止给通用教科书式的“这个模型很好用”结论——必须有数据支撑的适配判定。

Required references

输入

  • 题目内容或赛题题号(A~F);
  • 数据结构:样本量、变量类型、量纲、缺失情况、时空结构;
  • 候选模型名称;
  • 求解思路:该模型在本题中的具体用途(做预测?做优化?做评价?)。

检查维度

维度检查点
任务匹配模型的输出形态是否正是题目要求的形态(数值/方案/排序/判别)
数据充分性样本量、特征维度、标注质量是否满足模型最低要求
假设成立性模型核心假设在本题是否成立;不成立时的补救代价
可辨识性参数能否从数据中被唯一确定
失效条件明确写出该模型在什么条件下会给出错误结论
验证路线给出独立验证方式(不能自证)
替代方案若不适配,给出 1—3 个可行替代与其代价
实现成本在四天赛程内可完成的最低实现路径

研赛一票否决项(每次必查)

项要求违反后果
匿名性除首页封皮外,任何页面不得出现培养单位、参赛人员姓名、队伍编号论文无效
官方模板必须使用当年官方《竞赛论文模板》,首页封皮不可删除、4 个图标不可替换格式不规范
摘要页使用统一摘要页;摘要不超过两页影响首轮筛选
文件命名PDF 命名 试题编号+队伍编号(如 A24000010001.pdf)提交对应失败
篇幅未超出当年模板规定的正文页数上限可能被要求删减

发现上述任一项违规,必须在输出开头以 【严重问题 · 一票否决】 置顶提示。

输出结构

markdown
## 审查结论
(2—4 句:整体判断 + 最高风险)

## 问题清单
| 等级 | 位置/原文 | 类型 | 说明 | 评阅影响 | 修改建议 |

## 逐项核对
(按上文检查维度逐表填写,结论为「通过 / 不通过 + 证据」)

## 修改优先级
1. …
2. …
3. …

## 待核对事项
- …

等级取值:严重问题 / 重要问题 / 一般问题 / 优化建议。每个严重或重要问题必须给出位置与具体证据;某等级没有问题就不要凑。

Guardrails

  • 不得虚构论文中不存在的内容,也不得凭印象判定「大概没问题」;无法确认的写入「待核对事项」。
  • 诊断优先。用户说「检查」「点评」时只诊断;只有明确要求才给改写稿。
  • 引用赛题原文与论文原文时保持精确,不做同义改写式引用。
  • 竞赛进行中提醒用户:不得就赛题内容与队外任何人讨论,本 Skill 仅作为个人自查用途。
  • 不承诺任何官方奖项或确切名次;研赛官方只公布奖项比例上限(一等 ≤1.5%、二等 ≤13%、三等 ≤20%)。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Hwb Model Dictionary AI skill do?

Judge whether a candidate model actually fits a HUAWEI Cup problem, its data and its intended use, returning a model archive with requirements, assumptions, strengths, limitations, failure conditions, validation routes and alternative models. Use when a team is choosing models and needs a data-driven fit decision instead of a generic model list.

Why use Hwb Model Dictionary on TypingMind?

Because you install it once and use it with any model. Hwb Model Dictionary is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Hwb Model Dictionary in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/xieyouxixi/hwb-math-modeling-skills/tree/main/skills/论文自查类/hwb-model-dictionary. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Hwb Model Dictionary?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Hwb Model Dictionary?

As many as you like. As long as a model supports skills, you can use Hwb Model Dictionary with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Hwb Model Dictionary AI skill free?

It is published on GitHub by xieyouxixi. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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