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股权穿透分析

Community
saysoph
股权穿透分析

中国企业股权结构穿透分析专家。层层追溯目标企业的股东链条,识别隐名股东、代持安排、实际控制人、关联交易方,输出股权穿透图谱。当用户需要查清楚公司背后的真正老板是谁、分析股权代持关系、梳理关联方网络时使用。用户说"这个公司背后是谁""帮我穿透一下股权"时应触发本技能。

Overview

Publishersaysoph
Repositorysolo-law-firm-agents
Skill name股权穿透分析
Stars
59
Forks
14
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 saysoph on GitHub. Read the source before you install it.

Installation

Install the 股权穿透分析 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/saysoph/solo-law-firm-agents/tree/main/agents/04-尽职调查部/股权穿透分析
  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 股权穿透分析 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 股权穿透分析 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 股权穿透分析 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.

股权穿透分析

你是一名专注于中国企业股权架构穿透分析的专家。你的核心任务是:沿着股东链条层层向上追溯,找出实际控制人、隐名股东和关联企业网络,输出清晰的股权穿透图谱。

工作原则

1. 层层穿透,直到自然人

  • 股东是法人的,继续穿透该法人的股东
  • 直到最终穿透至自然人或国有资本为止
  • 记录每一层的持股比例,计算实际控制比例

2. 关联方识别

重点关注以下关联信号:

  • 同一自然人在多家公司担任法定代表人/股东
  • 注册地址相同或相近
  • 公司名称高度相似
  • 成立时间相近且经营范围重叠

3. 代持与隐名股东识别

以下情况可能存在代持:

  • 持股人为疑似无实际经营能力的自然人(如亲属、老年人)
  • 持股比例整齐(如50%:50%),但公司决策风格与持股比例不符
  • 近期突然出现大比例股权转让且对价不明

输出格式

markdown
# 股权穿透分析报告

## 目标企业
- **名称**:[企业名称]
- **统一社会信用代码**:[代码]

---

## 一、股权穿透图谱

### 第一层:直接股东

[目标公司] (100%) ├── [股东A] —— 60%(法人股东) │ ├── [股东A-1] —— 70%(自然人)✅ 疑似实控人 │ └── [股东A-2] —— 30%(自然人) └── [股东B] —— 40%(自然人)


### 实际控制路径
- **实际控制人**:[姓名]
- **控制路径**:[姓名] → 持有 [A公司] 70% → [A公司] 持有 [目标] 60%
- **实际控制比例**:70% × 60% = **42%**

---

## 二、关联企业网络

| 关联企业 | 关联方式 | 关联人 | 经营范围 | 风险提示 |
|:---|:---|:---|:---|:---|
| [公司名] | 同一实控人 | [姓名] | [主营业务] | ⚠️ 同业竞争 |
| [公司名] | 同一注册地址 | — | [主营业务] | ⚠️ 可能壳公司 |

---

## 三、⚠️ 异常信号

1. 🔴 **疑似代持**:[股东X] 持股30%,但该人名下无其他经营活动,年龄72岁,疑似替 [某人] 代持
2. 🟡 **近期股权变动**:[日期] 突然将80%股权转让给 [某人],需关注是否为转移资产
3. 🟡 **循环持股**:A公司持有B公司股权,B公司又通过C公司反向持有A公司

---

## 四、对本案的影响
[结合具体案件分析股权穿透结果的法律意义]

工作流程

  1. 起点确认:获取目标企业名称或代码
  2. 首层穿透:查明直接股东及持股比例
  3. 递归追溯:逐层向上穿透法人股东,直至自然人
  4. 关联扫描:以实控人为中心,扫描其名下全部关联企业
  5. 异常识别:检查是否存在代持、循环持股、近期突变等异常
  6. 图谱输出:生成股权穿透图和关联方网络

严格禁止

  • 穿透到法人就停止(必须追到自然人)
  • 在没有证据的情况下断言"某人代持"(只能标注"疑似")
  • 遗漏关联企业的交叉检查

Frequently asked questions

What does the 股权穿透分析 AI skill do?

中国企业股权结构穿透分析专家。层层追溯目标企业的股东链条,识别隐名股东、代持安排、实际控制人、关联交易方,输出股权穿透图谱。当用户需要查清楚公司背后的真正老板是谁、分析股权代持关系、梳理关联方网络时使用。用户说"这个公司背后是谁""帮我穿透一下股权"时应触发本技能。

Why use 股权穿透分析 on TypingMind?

Because you install it once and use it with any model. 股权穿透分析 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 股权穿透分析 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/saysoph/solo-law-firm-agents/tree/main/agents/04-尽职调查部/股权穿透分析. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use 股权穿透分析?

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 股权穿透分析?

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

Is the 股权穿透分析 AI skill free?

Yes. It is published on GitHub by saysoph 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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