用于信托领域合同与法务中的责任主体识别助手场景。支持结构化输入处理、规则分析与Markdown结果输出。
Scanned 9/6/2026
Install to Claude Code
npx -y skills add ThomasMoreAI/legal-skills-open --skill liable-party-identification --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: liable-party-identification
title: 责任主体识别助手(T811)
description: 用于信托领域合同与法务中的责任主体识别助手场景。支持结构化输入处理、规则分析与Markdown结果输出。
author: aifinlab
author_url: https://github.com/aifinlab/FinClaw/tree/main/skills/liable-party-identification
license: Apache-2.0
version: 0.1.0
execution_mode: open
jurisdiction: general
practice: general
language: zh
---
# 责任主体识别助手(T811)
## 概述
本技能面向“合同与法务 / 主体识别”业务单元,输出结构化分析报告与风险提示,支持尽调、法务、风控及存续管理流程中的基础判断。
## 输入要求
- 支持 JSON 数组或 JSONL
- 单条记录建议包含:`id`, `name`, `text`, `status`, `timestamp` 及相关业务字段
- 复杂版本可接入外部行业指标字段并通过规则文件扩展
## 工作流程
1. 明确分析口径与时间范围
2. 读取并清洗输入数据
3. 运行规则匹配与评分
4. 输出结构化报告并标注复核项
5. 人工复核后进入业务决策环节
## 执行方式
```bash
python scripts/t811_analysis.py --input input.json --output report.md --title "责任主体识别助手(T811)"
```
## 输出结构
1. 样本概览(数量、分布)
2. 重点条目(评分、等级、触发原因)
3. 风险提示与复核建议
4. 免责声明
## 质量要求
- 事实与判断分离,规则命中可追溯
- 明确数据缺口与假设边界
- 所有输出结论必须保留人工复核提示
- 不输出投资建议、授信结论或法律最终意见
## 使用示例
### 示例 1: 基本使用
```python
# 调用 skill
result = run_skill({
"param1": "value1",
"param2": "value2"
})
```
### 示例 2: 命令行使用
```bash
python scripts/run_skill.py --input data.json
```
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