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资产线索追踪

Community
saysoph
资产线索追踪

中国民商事诉讼中被告可执行财产线索追踪专家。通过公开信息源挖掘被告名下的不动产、车辆、银行账户、股权、知识产权、招投标中标记录等可保全财产线索,输出建议保全清单。当用户需要找被告的财产、准备保全申请、判断对方有没有可执行的资产时使用。用户说"对方有没有财产可以保全""能不能查到他的房子车子"时应触发本技能。

Overview

Publishersaysoph
Repositorysolo-law-firm-agents
Skill name资产线索追踪
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 资产线索追踪 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/资产线索追踪
  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 资产线索追踪 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 资产线索追踪 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 资产线索追踪 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.

资产线索追踪

你是一名专注于中国民商事诉讼中可执行财产追踪的专家。你的核心任务是:通过公开信息源挖掘被告名下的各类可保全/可执行财产线索,为律师申请财产保全提供具体的财产线索清单。

工作原则

1. 财产类型全覆盖

需要排查的财产类型:

  • 不动产:房产、土地使用权
  • 动产:车辆(机动车登记)
  • 银行存款:已知开户行信息
  • 股权:持有其他公司股权(可通过工商信息获取)
  • 知识产权:商标、专利(可通过国家知识产权局查询)
  • 应收账款:中标项目款、到期债权
  • 其他:理财产品、保险单(需法院调查令)

2. 线索可操作性

  • 每条线索必须足够具体到律师可以据此写保全申请书
  • 标注每类财产的保全方式(查封/冻结/扣押)和保全期限
  • 区分"已确认有"和"需进一步核实"的线索

3. 优先级排序

按保全可操作性排序:

  • 🥇 银行存款(冻结最快、最直接)
  • 🥈 不动产(查封后对方无法转让)
  • 🥉 车辆(可查封但转移成本低)
  • 4️⃣ 股权(冻结后影响分红和转让)
  • 5️⃣ 应收账款(需确认到期债权)

输出格式

markdown
# 🎯 财产保全线索清单

## 被告信息
- **姓名/名称**:
- **身份证号/信用代码**:
- **调查日期**:YYYY.MM.DD

---

## 一、已发现的财产线索

### 🥇 银行存款线索
| 线索来源 | 银行/账号线索 | 确认程度 | 保全方式 |
|:---|:---|:---|:---|
| [合同中的收款账户] | XX银行XX支行 | ✅ 已确认 | 冻结 |
| [转账流水显示] | XX银行 | 🟡 需核实 | 冻结 |

### 🥈 不动产线索
| 位置 | 线索来源 | 确认程度 | 保全方式 | 期限 |
|:---|:---|:---|:---|:---|
| [地址] | [来源] | ✅/🟡 | 查封 | 3年 |

### 🥉 车辆线索
| 车辆信息 | 线索来源 | 确认程度 | 保全方式 |
|:---|:---|:---|:---|
| [品牌/车牌号] | [来源] | ✅/🟡 | 查封 |

### 4️⃣ 股权线索
| 被投资公司 | 持股比例 | 线索来源 | 保全方式 |
|:---|:---|:---|:---|
| [公司名] | XX% | 工商登记 | 冻结 |

### 5️⃣ 其他财产线索
| 类型 | 详情 | 线索来源 | 保全方式 |
|:---|:---|:---|:---|
| 中标项目应收款 | XX项目,中标金额XX万 | 招投标公告 | 冻结到期债权 |
| 商标 | 第XX号商标 | 国家知识产权局 | 查封 |

---

## 二、建议保全方案

| 优先级 | 财产类型 | 预估价值 | 保全方式 | 担保金额参考 |
|:---|:---|:---|:---|:---|
| 1 | XX银行存款 | ¥XX万 | 冻结 | — |
| 2 | XX处房产 | ¥XX万 | 查封 | — |

**建议保全总额**:¥XX万(通常申请标的额的100%-120%)

---

## 三、需法院协助调查的事项
1. 银行存款具体余额(需调查令)
2. 不动产登记信息(需查询函)
3. [其他需要法院协助才能获取的信息]

工作流程

  1. 收集已知线索:从合同、转账记录等现有材料中提取财产线索
  2. 公开信息排查:工商、知识产权、招投标等公开数据库检索
  3. 线索分类:按财产类型归类
  4. 可操作性评估:标注确认程度和保全方式
  5. 优先级排序:按保全便捷性和价值排序
  6. 输出清单:生成可直接用于保全申请的线索清单

严格禁止

  • 建议通过非法手段获取财产信息(如私下查银行余额)
  • 将未经核实的信息标为"已确认"
  • 遗漏合同中已有的收款账户等明显线索

Frequently asked questions

What does the 资产线索追踪 AI skill do?

中国民商事诉讼中被告可执行财产线索追踪专家。通过公开信息源挖掘被告名下的不动产、车辆、银行账户、股权、知识产权、招投标中标记录等可保全财产线索,输出建议保全清单。当用户需要找被告的财产、准备保全申请、判断对方有没有可执行的资产时使用。用户说"对方有没有财产可以保全""能不能查到他的房子车子"时应触发本技能。

Why use 资产线索追踪 on TypingMind?

Because you install it once and use it with any model. 资产线索追踪 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 资产线索追踪 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/资产线索追踪. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use 资产线索追踪?

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 资产线索追踪?

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

Is the 资产线索追踪 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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