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Fund Manager Alpha

Community
wbh604
fund-manager-alpha

基金经理深度行为审计引擎。逐笔买卖验尸(拿12个月后走势验对错)、独立决策取证(同门/全市场/热榜三把尺子)、K线战役回放、抄作业指数、被动减仓判定、造神检测、闸门时间轴、年底冲排名、一车多牌、开门批次,产出单文件交互 HTML 报告。当用户要求分析某只基金或基金经理、判断能不能买、经理水平如何、独立性如何、Alpha 是本事还是运气时使用。关键词:基金、基金经理、公募、Alpha、抱团、持仓分析、业绩归因、能不能买。

Overview

Publisherwbh604
Repositoryfund-guy-skill
Skill namefund-manager-alpha
Stars
585
Forks
62
Bundled files
Instructions only
LicenseMIT
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by wbh604 on GitHub. Read the source before you install it.

Installation

Install the Fund Manager Alpha 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/wbh604/fund-guy-skill/tree/main/.agents/skills/fund-manager-alpha
  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.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/wbh604/fund-guy-skill.git /tmp/fund-guy-skill
mkdir -p .claude/skills
cp -r /tmp/fund-guy-skill/.agents/skills/fund-manager-alpha .claude/skills/fund-manager-alpha
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Fund Manager Alpha 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 Fund Manager Alpha 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 Fund Manager Alpha 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.

Fund Manager Alpha · 基金经理行为审计(入口)

评的是行为,不是净值。

完整方法论在本仓库 skills/fund-manager-alpha/SKILL.md(18 条硬规则、三层取数模型、 行为评分公式、报告模块规范)—— 动手前先完整读它,本文件只是入口。

快速开始

bash
pip install -r requirements.txt
python run.py <基金代码>              # 一键:取数 → 分析 → 出报告
python run.py <基金代码> --skip-fetch # 已有 .cache 数据时

产出:assets/fund-<code>.html(自包含单文件,离线可看可分享)。请用浏览器直接打开本地文件;不要用 htmlpreview.github.io / gist 在线预览,那些页面经常不跑脚本,分数和 K 线会显示成空的。

参考脚本在仓库根 scripts/(fetch → analyze → build,README 有逐条命令)。 接口失效时不要死修脚本,按主文档的三层取数模型(公开 API → 浏览器抓取 → 请用户登录)自行补数。

三条不可违反

  1. 先做任期切割 —— 前任业绩混入现任评价 = 分析作废
  2. 绝不编数 —— 拿不到就标"未获取"并压置信度,没有出处的数字不进报告
  3. 定性判断由你做 —— 公告全文解读、Mandate 约束抽取仍没有脚本。造神九项能用本品公告/任期/持仓筛的已自动出结论(三级证据制);季报原文、亲属任职、招募书全文对照仍标未获取。行业用东财/港股公开分类自动取,禁止手写某只基金的对照表;窗口、费率、风格指数全部按所选基金重算

更多

  • 完整硬规则与工作流:skills/fund-manager-alpha/SKILL.md
  • 算法细节:skills/fund-manager-alpha/references/
  • 设计决策:DESIGN.md

Frequently asked questions

What does the Fund Manager Alpha AI skill do?

基金经理深度行为审计引擎。逐笔买卖验尸(拿12个月后走势验对错)、独立决策取证(同门/全市场/热榜三把尺子)、K线战役回放、抄作业指数、被动减仓判定、造神检测、闸门时间轴、年底冲排名、一车多牌、开门批次,产出单文件交互 HTML 报告。当用户要求分析某只基金或基金经理、判断能不能买、经理水平如何、独立性如何、Alpha 是本事还是运气时使用。关键词:基金、基金经理、公募、Alpha、抱团、持仓分析、业绩归因、能不能买。

Why use Fund Manager Alpha on TypingMind?

Because you install it once and use it with any model. Fund Manager Alpha 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 Fund Manager Alpha in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/wbh604/fund-guy-skill/tree/main/.agents/skills/fund-manager-alpha. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Fund Manager Alpha?

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 Fund Manager Alpha?

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

Is the Fund Manager Alpha AI skill free?

Yes. It is published on GitHub by wbh604 under the MIT license. 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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