用于信托领域合规与运营中的项目准入审查助手-地产版场景,支持结构化处理与报告输出。
Scanned 9/7/2026
Install to Claude Code
npx -y skills add aifinlab/FinClaw --skill project-admission-review-real-estate --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: project-admission-review-real-estate
description: 用于信托领域合规与运营中的项目准入审查助手-地产版场景,支持结构化处理与报告输出。
---
# project-admission-review-real-estate
## 概述
本技能用于信托业务场景的结构化处理,支持数据解析、规则识别与报告输出。
## 输入要求
- 支持 JSON 数组或 JSONL
- 建议字段:`id`, `name`, `text`, `status`, `timestamp`,以及场景相关业务字段
## 工作流程
1. 明确业务口径与目标
2. 读取并清洗输入数据
3. 执行规则分析与风险识别
4. 输出结构化结果并标注复核事项
5. 人工复核后进入正式流程
## 执行方式
1. 预处理(Node.js)
```bash
node scripts/preprocess.js --input input.jsonl --output processed.json
```
2. 分析与报告(Python)
```bash
python scripts/analyze.py --input processed.json --rules config/rules.json --baseline reference/baseline.json --output report.md
```
## 输出结构
1. 样本概览(数量、等级分布)
2. 重点条目(分值、命中原因)
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
- 保留自动生成需人工复核声明
- 不输出投资建议、授信决策或法律最终意见
## 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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