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Investor Panel

Organization
agentpit-io
investor_panel

66 位投资大佬评审团。模拟价值、成长、游资、量化等 9 大流派对股票进行投票打分。

Overview

Publisheragentpit-io
Repositoryhunter-community
Skill nameinvestor_panel
Stars
582
Forks
79
Bundled files
10
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.

  • 10 bundled files

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

  • Open source

    Published by agentpit-io on GitHub. Read the source before you install it.

Installation

Install the Investor Panel 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/agentpit-io/hunter-community/tree/main/skills/investor_panel
  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/agentpit-io/hunter-community.git /tmp/hunter-community
mkdir -p .claude/skills
cp -r /tmp/hunter-community/skills/investor_panel .claude/skills/investor_panel
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Investor Panel 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 Investor Panel 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 Investor Panel 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.

Investor Panel · 大佬评审团(Hunter 适配版)

66 位投资者分成 9 个流派,各自用自己的方法论对同一只股票投票。 这个 SKILL 的价值不在于给出结论,而在于把分歧摆出来 —— 让用户看清同一份数据在不同框架下能读出完全相反的意思。

执行流程

1. 取数

调 uzi_stock_deep_analysis 拿这只股票的真实数据(行情 / K 线 / 财务 / 公告 / 新闻等)。

⚠️ outline 参数只传数据类小节,或者干脆不传。 后端手里只有上面那几段数据,它写不出「投票分布」,也不知道芒格会怎么说; 把角色类小节塞进 outline,它只会写一句「暂无数据」。 66 位大佬的戏份全部在你的正文里完成。

2. 投票

按 references/voting-rules.md 的规则推导 —— 不是拍脑袋编比例:

  • 每个流派有一张打分维度表,逐维对照真实数据打 -2 到 +2 分
  • 分数和 ≥ +3 投牛、-2~+2 投中性、≤ -3 投熊
  • 数据缺失的维度记 0 分;一个流派过半维度缺数据,该流派全部记中性
  • 综合评分 = 50 + (牛票 - 熊票) / 66 × 50

3. 发言

9 个流派的方法论与成员名单:

  • references/group-a-classic-value.md · 经典价值(8 席)
  • references/group-b-quality-growth.md · 质量成长(8 席)
  • references/group-c-disruptive-tech.md · 颠覆式创新(8 席)
  • references/group-d-macro-cycle.md · 宏观与周期(8 席)
  • references/group-e-trend-momentum.md · 趋势与动量(8 席)
  • references/group-f-hot-money.md · 游资与情绪(8 席)
  • references/group-g-quant-systematic.md · 量化与系统化(7 席)
  • references/group-h-contrarian-short.md · 逆向与做空(6 席)
  • references/group-i-tail-risk.md · 尾部风险与对冲(5 席)

每个流派文件末尾都有发言模板:先引真实数字,再下判断。

输出格式

  1. 一句话结论 —— 分歧点在哪
  2. 投票分布 —— 牛 / 中性 / 熊 票数与比例、综合评分与档位
  3. 分流派详述 —— 9 个流派每个都要写到:席位数、态度、打分依据 (引用真实数字)、1-2 位代表人物的第一人称点评
  4. 最大分歧 —— 哪两派结论相反,各自依据是什么
  5. 跟踪清单 —— 什么数据出来能让分歧收敛

第 3 部分是主体。不要只挑两三个流派说完就收尾 —— 用户点这个 SKILL 就是为了看 66 个人怎么吵起来的。

硬约束

  • 所有数字来自工具返回的数据,一个都不许编。没有的就说没有。
  • 人物观点标注是模拟:写「模拟巴菲特的方法论推演」,不要写成 「巴菲特说」。这是按公开方法论做的角色推演,不是本人言论, 也不代表他们的真实持仓或表态。
  • 不给买卖评级、目标价、仓位建议。 综合评分是分歧度指标,不是推荐等级。
  • 全程中文,英文只用于股票代码和 ROE / EPS / PEG 这类缩写。

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 Investor Panel AI skill do?

66 位投资大佬评审团。模拟价值、成长、游资、量化等 9 大流派对股票进行投票打分。

Why use Investor Panel on TypingMind?

Because you install it once and use it with any model. Investor Panel 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 Investor Panel in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/agentpit-io/hunter-community/tree/main/skills/investor_panel. 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 Investor Panel?

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 Investor Panel?

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

Is the Investor Panel AI skill free?

Yes. It is published on GitHub by agentpit-io 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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