Odoo Accounting Setup
Expert guide for configuring Odoo Accounting: chart of accounts, journals, fiscal positions, taxes, payment terms, and bank reconciliation.
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This tool automates compliance checks for trust products, ensuring investor qualifications and adherence to investment regulations.
---
name: trust-compliance-checker-e11cf8a2962c
description: "trust-compliance-checker-e11cf8a2962c"
---
# trust-compliance-checker
## 描述
信托合规智能审查工具,支持合格投资者识别、嵌套层级穿透、投资限制检查、关联交易识别等合规要点。
## 功能
- 合格投资者识别与适当性匹配
- 嵌套层级穿透检查
- 投资比例与集中度限制
- 关联交易识别
- 禁止性行为筛查
- 信息披露合规检查
- 生成合规意见书
## 使用场景
- 新产品设立合规审查
- 投资者适当性管理
- 关联交易监控
- 监管报送自查
- 合规培训案例生成
## 输入输出
### 输入
```json
{
"check_type": "product|investor|transaction|nested",
"product": {
"product_code": "",
"trust_type": "集合信托",
"min_investment": 1000000,
"investment_scope": ["非标债权", "股票", "债券"]
},
"investor": {
"name": "",
"investor_type": "自然人",
"financial_assets": 5000000,
"annual_income": 800000,
"investment_experience": 5
},
"investments": [
{"target": "XX资管计划", "amount": 5000000, "type": "嵌套投资"}
]
}
```
### 输出
```json
{
"status": "success",
"data": {
"overall_compliance": "合规",
"score": 92,
"checks": {
"investor_qualification": {
"passed": true,
"details": "金融资产500万,符合合格投资者标准"
},
"nested_structure": {
"passed": true,
"layers": 2,
"穿透_result": "底层资产为标准化债券"
},
"concentration_limit": {
"passed": false,
"issues": ["单一非标债权占比18%,超过15%限制"]
}
},
"recommendations": ["建议降低单一非标债权比例至15%以下"]
}
}
```
## 运行方式
```bash
# 产品合规审查
python scripts/main.py --check-type product --product data/product.json
# 投资者适当性检查
python scripts/main.py --check-type investor --investor data/investor.json
# 关联交易识别
python scripts/main.py --check-type transaction --transactions data/transactions.json
# 嵌套层级穿透
python scripts/main.py --check-type nested --structure data/structure.json
```
## 依赖
- pydantic>=1.10.0
- networkx>=2.8.0
- jsonschema>=4.17.0
## 合规规则库
| 规则 | 说明 | 阈值 |
|---|---|---|
| 起投金额-集合 | 集合信托最低30万 | ≥300,000 |
| 起投金额-单一 | 单一信托最低100万 | ≥1,000,000 |
| 嵌套层数 | 禁止三层及以上嵌套 | ≤2层 |
| 非标集中度 | 单一非标≤15% | ≤15% |
| 房地产集中度 | 房地产信托≤30% | ≤30% |
## 免责声明
本工具基于公开监管规定,仅供参考。具体合规判断请咨询专业法律顾问。
## 许可证
MIT License
---
name: trust-compliance-checker-e11cf8a2962c
description: "trust-compliance-checker-e11cf8a2962c"
---
# trust-compliance-checker
## 描述
信托合规智能审查工具,支持合格投资者识别、嵌套层级穿透、投资限制检查、关联交易识别等合规要点。
## 功能
- 合格投资者识别与适当性匹配
- 嵌套层级穿透检查
- 投资比例与集中度限制
- 关联交易识别
- 禁止性行为筛查
- 信息披露合规检查
- 生成合规意见书
## 使用场景
- 新产品设立合规审查
- 投资者适当性管理
- 关联交易监控
- 监管报送自查
- 合规培训案例生成
## 输入输出
### 输入
```json
{
"check_type": "product|investor|transaction|nested",
"product": {
"product_code": "",
"trust_type": "集合信托",
"min_investment": 1000000,
"investment_scope": ["非标债权", "股票", "债券"]
},
"investor": {
"name": "",
"investor_type": "自然人",
"financial_assets": 5000000,
"annual_income": 800000,
"investment_experience": 5
},
"investments": [
{"target": "XX资管计划", "amount": 5000000, "type": "嵌套投资"}
]
}
```
### 输出
```json
{
"status": "success",
"data": {
"overall_compliance": "合规",
"score": 92,
"checks": {
"investor_qualification": {
"passed": true,
"details": "金融资产500万,符合合格投资者标准"
},
"nested_structure": {
"passed": true,
"layers": 2,
"穿透_result": "底层资产为标准化债券"
},
"concentration_limit": {
"passed": false,
"issues": ["单一非标债权占比18%,超过15%限制"]
}
},
"recommendations": ["建议降低单一非标债权比例至15%以下"]
}
}
```
## 运行方式
```bash
# 产品合规审查
python scripts/main.py --check-type product --product data/product.json
# 投资者适当性检查
python scripts/main.py --check-type investor --investor data/investor.json
# 关联交易识别
python scripts/main.py --check-type transaction --transactions data/transactions.json
# 嵌套层级穿透
python scripts/main.py --check-type nested --structure data/structure.json
```
## 依赖
- pydantic>=1.10.0
- networkx>=2.8.0
- jsonschema>=4.17.0
## 合规规则库
| 规则 | 说明 | 阈值 |
|---|---|---|
| 起投金额-集合 | 集合信托最低30万 | ≥300,000 |
| 起投金额-单一 | 单一信托最低100万 | ≥1,000,000 |
| 嵌套层数 | 禁止三层及以上嵌套 | ≤2层 |
| 非标集中度 | 单一非标≤15% | ≤15% |
| 房地产集中度 | 房地产信托≤30% | ≤30% |
## 免责声明
本工具基于公开监管规定,仅供参考。具体合规判断请咨询专业法律顾问。
## 许可证
MIT License
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Includes source scripts; review them before use. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.