用于信托项目可行性初判,基于项目结构、还款来源、担保覆盖、合规状态和历史违约信号进行规则化评分与分级。适用于投前预审、立项筛查和风控前置评估场景。
Scanned 9/7/2026
Install to Claude Code
npx -y skills add aifinlab/FinClaw --skill project-feasibility-precheck-assistant --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: project-feasibility-precheck-assistant
description: 用于信托项目可行性初判,基于项目结构、还款来源、担保覆盖、合规状态和历史违约信号进行规则化评分与分级。适用于投前预审、立项筛查和风控前置评估场景。
---
# 项目可行性初判助手(T104)
## 概述
本技能用于项目立项前的快速可行性初筛,输出“可行/有条件可行/暂不可行”分级,并给出主要影响因子。
## 输入要求
支持 JSON 数组或 JSONL,每条记录建议包含:
- `project_name`
- `borrower_name`
- `industry`
- `requested_amount`
- `expected_irr`
- `tenor_months`
- `collateral_coverage_ratio`
- `repayment_source_text`
- `compliance_status_text`
- `historical_default_rate`
- `sponsor_strength_score`(0-100)
- `data_completeness`(0-1)
## 工作流
1. 明确项目口径与假设前提
2. 整理核心输入字段并校验完整性
3. 运行脚本完成可行性初判评分
4. 复核关键减分项与数据可靠性
5. 输出初判结论与补充尽调建议
## 脚本调用指引
使用 `scripts/project_feasibility_precheck.py` 生成报告:
```bash
python scripts/project_feasibility_precheck.py \
--input project_cases.json \
--output feasibility_report.md
```
可选参数:
- `--keywords`:自定义合规/回款风险关键词
- `--top`:展示重点项目数量(默认 15)
## 输出结构
1. 总体评分分布与分级统计
2. 项目初判结果列表
3. 项目级关键加减分说明
4. 待补充信息清单
5. 方法与限制
## 质量要求
- 评分逻辑可解释
- 关键结论必须有字段依据
- 不替代正式授信审批
- 明确列出数据缺口与复核建议
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