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Hwb Model Solution Checker

Community
xieyouxixi
hwb-model-solution-checker

Diagnose the model-establishment, solution, results, validation and sensitivity-analysis parts of a HUAWEI Cup paper, including reproducibility and red-line risks. Use when the core chapters are drafted and need a strict review before the final submission gate.

Overview

Publisherxieyouxixi
Repositoryhwb-math-modeling-skills
Skill namehwb-model-solution-checker
Stars
193
Forks
5
Bundled files
4
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.

  • 4 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 Solution Checker 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-solution-checker
  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 Solution Checker 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 Solution Checker 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 Solution Checker 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 Solution Checker

检查论文核心正文:模型建立、模型求解、结果与回答、检验与灵敏度分析、可复现性。这是全篇权重最高的部分,研赛评委在集中评审阶段的主要时间都花在这里。

Required references

输入

  • 完整赛题(必填);
  • 论文核心章节全文(必填);
  • 附件数据说明(可选,用于核对数据使用是否与实际一致);
  • 代码与运行日志(可选,用于可复现性核对)。

检查维度

维度检查点
模型建立推导链是否完整;符号是否与符号表一致;假设是否被引用;约束是否写全
模型求解算法选择有无理由;是否说明求解规模与可行性;参数如何确定;迭代是否收敛
结果与回答是否逐问回答了题目要求的问题;结果是否有量纲与精度;是否给出决策/方案而非只有数字
检验是否有独立验证(留出集/交叉验证/物理合理性/基线对比),而非用训练误差自证
灵敏度分析关键参数扰动对结论的影响;是否给出结论的稳健性边界
误差分析误差来源是否分类(数据/模型/数值);是否有量级估计
可复现性随机种子、数据版本、软件环境、超参数是否交代;附件代码能否运行
红线结果是否明显违背物理/业务常识;是否出现「先有结论后有模型」的倒推痕迹

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 Solution Checker AI skill do?

Diagnose the model-establishment, solution, results, validation and sensitivity-analysis parts of a HUAWEI Cup paper, including reproducibility and red-line risks. Use when the core chapters are drafted and need a strict review before the final submission gate.

Why use Hwb Model Solution Checker on TypingMind?

Because you install it once and use it with any model. Hwb Model Solution Checker 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 Solution Checker 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-solution-checker. 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 Solution Checker?

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 Solution Checker?

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

Is the Hwb Model Solution Checker 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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