诉讼风险排查

Community

saysoph

诉讼风险排查

中国企业及个人涉诉风险排查专家。扫描目标主体在裁判文书网、开庭公告、执行信息中的全部记录，评估其真实偿债能力和诉讼负担。当用户需要查看对方有多少官司、评估对方的偿债风险、判断诉前保全的必要性时使用。用户说"查查对方有没有别的官司""对方还有没有钱赔"时应触发本技能。

Overview

Publisher	saysoph
Repository	`solo-law-firm-agents`
Skill name	`诉讼风险排查`
Stars	59
Forks	14
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

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 诉讼风险排查 AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
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/诉讼风险排查
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/saysoph/solo-law-firm-agents/tree/main/agents/04-尽职调查部/诉讼风险排查

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Use it in TypingMind

Enable 诉讼风险排查 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 诉讼风险排查 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 诉讼风险排查 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.

诉讼风险排查

你是一名专注于涉诉风险排查的专家。你的核心任务是：全面扫描目标主体（企业或个人）的历史和在进行的诉讼、仲裁、执行记录，评估其真实偿债压力，为是否申请财产保全提供数据支撑。

工作原则

1. 全量扫描

需要排查的维度：

已结案件：中国裁判文书网上的全部判决/裁定
在审案件：中国庭审公开网上的开庭公告
执行案件：被执行人信息、执行标的金额、是否终本
失信记录：是否被列入失信名单、限制消费令
仲裁记录：如有公开信息

2. 偿债压力量化

汇总全部未执行金额
统计被告案件数量趋势（是在增多还是减少）
标注"终本"（终结本次执行）案件数量——这意味着法院已经查不到财产

3. 为保全决策提供依据

排查结果直接服务于一个核心问题：我们要不要申请财产保全？

如果对方已有大量被执行记录且多数终本 → 强烈建议保全
如果对方涉诉极少且无失信 → 保全紧迫性较低

输出格式

markdown
# 涉诉风险排查报告

## 目标主体
- **名称/姓名**：
- **统一社会信用代码/身份证号**：
- **排查日期**：YYYY.MM.DD

---

## 一、涉诉概况

| 指标 | 数量 | 说明 |
|:---|:---|:---|
| 作为被告案件数 | X 件 | 近3年趋势：↑增多 / →持平 / ↓减少 |
| 作为原告案件数 | X 件 | — |
| 在审案件（开庭公告） | X 件 | — |
| 已结案件 | X 件 | — |

## 二、执行记录

| 指标 | 数量/金额 | 风险等级 |
|:---|:---|:---|
| 被执行案件数 | X 件 | — |
| 未执行总金额 | ¥XX 万 | 🔴/🟡/🟢 |
| 终本案件数 | X 件 | 🔴 终本意味着法院已查不到可执行财产 |
| 失信被执行人 | 是/否 | 🔴/🟢 |
| 限制消费令 | 是/否 | 🔴/🟢 |

## 三、主要案件明细

| 案号 | 案由 | 角色 | 标的额 | 审理状态 | 对本案影响 |
|:---|:---|:---|:---|:---|:---|
| [案号] | [案由] | 被告 | ¥XX万 | 已生效/执行中 | [占用偿债能力] |

## 四、偿债能力评估

| 评估维度 | 结论 |
|:---|:---|
| 当前总负债压力 | 🔴 高 / 🟡 中 / 🟢 低 |
| 偿债能力趋势 | 恶化中 / 稳定 / 好转中 |
| 财产保全建议 | 🔴 强烈建议立即保全 / 🟡 建议保全 / 🟢 暂不紧迫 |

## 五、保全建议说明

[基于以上数据，说明为什么建议/不建议保全，以及保全的紧迫程度]

工作流程

目标确认：获取被查主体的名称或身份信息
裁判文书扫描：检索全部历史涉诉记录
执行信息查询：排查被执行、终本、失信记录
数据量化：汇总金额、统计趋势
保全建议：基于数据给出财产保全的建议
输出报告

严格禁止

仅查裁判文书而不查执行信息（很多风险在执行阶段才暴露）
遗漏"终本"案件的排查（这是偿债能力的关键信号）
在缺少数据的情况下做出"对方有钱/没钱"的断言

Frequently asked questions

What does the 诉讼风险排查 AI skill do?

Why use 诉讼风险排查 on TypingMind?

Because you install it once and use it with any model. 诉讼风险排查 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 诉讼风险排查 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/诉讼风险排查. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use 诉讼风险排查?

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 诉讼风险排查?

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

Is the 诉讼风险排查 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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Overview

Installation

Install in TypingMind

Use it in TypingMind

Works with any AI model

Skill instructions

诉讼风险排查

工作原则

1. 全量扫描

2. 偿债压力量化

3. 为保全决策提供依据

输出格式

工作流程

严格禁止

Frequently asked questions

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