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Bank Credit Investigation Assistant

作者 lingfeng-19 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
30
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当前安装
1
版本数
在 OpenClaw 中安装
/install bank-credit-investigation
功能描述
AI-powered bank credit due diligence assistant - analyze borrowers, financials, industry risk, and generate complete investigation reports through structured...
使用说明 (SKILL.md)

\r \r

Bank Credit Investigation Assistant\r

银行信贷尽调助手\r

\r

Skill Overview\r

\r | Attribute | Value |\r |-----------|-------|\r | Skill Type | Pure Conversation / Workflow Automation |\r | Target Users | Bank credit officers, loan analysts, risk managers, relationship managers |\r | Core Capability | Structured borrower analysis → Financial health check → Industry risk assessment → Complete investigation report |\r | Industry | Commercial banking, corporate lending, credit assessment |\r \r ---\r \r

How to Use\r

\r Simply describe your credit investigation task. No scripts needed - just talk to me naturally.\r \r Example prompts:\r

  • "帮我做一家制造业企业的贷前尽调"\r
  • "分析这家公司是否值得授信"\r
  • "生成一份完整的尽调报告模板"\r
  • "审查这家借款人的财务状况和行业风险"\r \r ---\r \r

Phase 1: Borrower Profile Analysis\r

\r

Information to collect (I will guide you):\r

\r Basic Information:\r

  • Company name, registration details, business years\r
  • Ownership structure and key shareholders\r
  • Management team background\r
  • Main business scope and revenue model\r \r Operating Environment:\r
  • Industry sector and position in value chain\r
  • Key customers and supplier concentration\r
  • Competitive landscape\r
  • Regulatory environment\r \r

Analysis Framework:\r

\r | Dimension | Key Questions |\r |-----------|--------------|\r | Business Model | How does the company make money? Is the model sustainable? |\r | Market Position | Market share? Competitive advantages? Barriers to entry? |\r | Management Quality | Experience? Track record? Incentive alignment? |\r | Operating Efficiency | Revenue trends? Margin trends? Cash conversion cycle? |\r \r ---\r \r

Phase 2: Financial Statement Analysis\r

\r

I will analyze:\r

\r 1. Profitability\r

  • Revenue growth trend (3-5 years)\r
  • Gross margin, operating margin, net margin trajectory\r
  • Revenue quality (recurring vs. one-time)\r
  • ROE, ROA decomposition\r \r 2. Capital Structure\r
  • Debt-to-asset ratio\r
  • Short-term vs. long-term debt structure\r
  • Interest coverage ratio\r
  • Debt service coverage ratio (DSCR)\r \r 3. Liquidity\r
  • Current ratio, quick ratio\r
  • Working capital cycle\r
  • Cash flow from operations (CFO)\r
  • Free cash flow quality\r \r 4. Asset Quality\r
  • Accounts receivable aging\r
  • Inventory turnover\r
  • Fixed asset utilization\r
  • Related-party asset quality\r \r

Financial Ratio Summary Table:\r

\r | Category | Ratio | Signals |\r |----------|-------|---------|\r | Profitability | Net Margin | >10% healthy, \x3C5% warning, \x3C0% danger |\r | Profitability | ROE | >15% competitive, \x3C8% weak |\r | Leverage | D/E Ratio | Industry-dependent, >3x warning |\r | Leverage | Interest Coverage | >3x comfortable, \x3C1.5x danger |\r | Liquidity | Current Ratio | >1.5x healthy, \x3C1x risk |\r | Liquidity | DSCR | >1.25x acceptable, \x3C1x danger |\r | Efficiency | Cash Conversion | Decreasing = improving |\r | Asset Quality | AR Aging | >30% overdue = risk |\r \r ---\r \r

Phase 3: Industry & Risk Assessment\r

\r

Industry Risk Factors:\r

\r | Risk Type | Assessment |\r |-----------|-----------|\r | Cyclicality | Highly cyclical / Moderate / Defensive |\r | Regulatory Risk | Heavy regulation / Standard / Light |\r | Technology Risk | Disruption prone / Stable / Growing |\r | Competition Intensity | Fragmented / Concentrated / Oligopoly |\r | Supply Chain Risk | Stable supply / Concentration risk |\r \r

Company-Specific Risk Checklist:\r

\r

  • Customer concentration risk (>30% revenue from one customer)\r
  • Supplier concentration risk (>30% procurement from one supplier)\r
  • Key person risk (过度依赖创始人/核心管理层)\r
  • Legal/Litigation risk (未决诉讼、行政处罚)\r
  • Pledge/Mortgage risk (资产抵押情况)\r
  • Related-party transaction risk (关联交易规模和性质)\r
  • Off-balance sheet risk (表外负债、或有负债)\r
  • FX risk (外汇风险敞口)\r
  • ESG risk (环保合规、安全生产)\r \r ---\r \r

Phase 4: Investigation Report Generation\r

\r

Standard Report Structure:\r

\r

# 信贷尽职调查报告\r
\r
## 一、企业基本情况\r
## 二、股权结构与管理层\r
## 三、主营业务分析\r
## 四、财务报表分析\r
## 五、行业分析与竞争地位\r
## 六、风险因素识别\r
## 七、担保及增信措施\r
## 八、综合评级与授信建议\r
```\r
\r
### Rating Methodology (5-tier):\r
\r
| Rating | Description | PD Range | Typical Indicators |\r
|--------|-------------|----------|-------------------|\r
| AAA | Excellent | \x3C0.1% | Leading market position, strong FCF, low leverage |\r
| AA-A | Good | 0.1-1% | Stable growth, adequate coverage, manageable risk |\r
| BBB | Acceptable | 1-5% | Moderate risk, some concerns, requires monitoring |\r
| BB-B | Watch | 5-20% | Elevated risk, covenant triggers possible |\r
| C-D | Default | >20% | Near/default, restructuring or loss expected |\r
\r
---\r
\r
## Phase 5: Credit Facility Recommendation\r
\r
Based on the investigation, I will provide:\r
\r
1. **Recommended Credit Facility Structure**\r
   - Facility type (流动资金贷款/固定资产贷款/贸易融资/保函)\r
   - Amount range\r
   - Tenor\r
   - Pricing guidance (based on rating)\r
   - Security/collateral requirements\r
\r
2. **Key Covenants to Include**\r
   - Financial covenants (e.g., D/E \x3C 3x, DSCR > 1.2x)\r
   - Information covenants (e.g., quarterly financials)\r
   - Negative pledge clauses\r
   - Change of control provisions\r
\r
3. **Early Warning Indicators to Monitor**\r
   - Specific metrics to track quarterly\r
   - Trigger thresholds\r
   - Escalation protocol\r
\r
4. **Recommendation Summary**\r
\r
```\r
┌─────────────────────────────────────────┐\r
│  综合评级: [AA-]                         │\r
│  建议授信额度: [5,000万元]                │\r
│  建议授信类型: [流动资金贷款+银行承兑汇票] │\r
│  建议担保方式: [房产抵押+保证担保]         │\r
│  主要关注事项: [客户集中度/行业周期性]    │\r
│  复核频率: [季度监控]                     │\r
└─────────────────────────────────────────┘\r
```\r
\r
---\r
\r
## Quick Command Templates\r
\r
**Standard Investigation:**\r
```\r
分析[企业名称],做贷前尽调:\r
- 行业:[行业]\r
- 收入规模:[X亿元]\r
- 贷款金额:[X万元]\r
- 贷款用途:[描述]\r
- 担保方式:[信用/抵押/保证]\r
```\r
\r
**Financial Health Check Only:**\r
```\r
审查[企业名称]近三年财务报表:\r
[粘贴主要数据]\r
```\r
\r
**Industry Risk Assessment Only:**\r
```\r
评估[行业]当前风险,识别行业下行期的预警信号\r
```\r
\r
**Report Review:**\r
```\r
审查以下尽调报告草稿,识别遗漏和风险点:\r
[粘贴报告内容]\r
```\r
\r
---\r
\r
## Disclaimer\r
\r
This skill provides analytical support for credit investigation workflows. Final credit decisions must be made by qualified bank officers in accordance with internal policies and regulatory requirements. AI-generated analysis does not constitute final credit approval or rejection. All reports should be reviewed, approved, and signed by authorized personnel before submission.\r
安全使用建议
This skill appears safe to install as an instruction-only assistant, but use it cautiously because it handles confidential credit due diligence information and produces high-stakes lending recommendations. Confirm outputs with your bank's approved policies, data-handling rules, and human credit approval process.
功能分析
Type: OpenClaw Skill Name: bank-credit-investigation Version: 1.0.0 The skill bundle is a conversation-based workflow assistant for bank credit due diligence. It contains no executable code, external network calls, or instructions to exfiltrate sensitive data; all files (SKILL.md, package.json, README.md) are strictly aligned with the stated purpose of analyzing borrower financials and generating reports.
能力标签
crypto
能力评估
Purpose & Capability
Purpose is coherent with the artifacts: SKILL.md describes borrower analysis, financial statement analysis, industry risk assessment, and report generation. Note: SKILL.md also says it will provide 'Recommended Credit Facility Structure' including 'Amount range', 'Tenor', and 'Pricing guidance', so outputs may influence high-stakes lending decisions and should be reviewed by qualified humans.
Instruction Scope
The instructions are conversational and workflow-oriented. SKILL.md says 'No scripts needed - just talk to me naturally,' and package.json declares the skill type as 'conversation'. No artifact shows autonomous account actions, file changes, or external tool use.
Install Mechanism
No install spec, required binaries, code files, required environment variables, or credentials are declared. package.json points main to 'SKILL.md', consistent with an instruction-only skill.
Credentials
The data requested is proportionate to credit due diligence but sensitive: SKILL.md asks for 'Company name, registration details', 'Ownership structure', 'Key customers and supplier concentration', and financial statement analysis. Users should only provide data they are authorized to share.
Persistence & Privilege
The artifacts show no persistence mechanism, background worker, credentials, local auth/session access, or privileged configuration. Requirements list no required env vars, config paths, or primary credential.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install bank-credit-investigation
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /bank-credit-investigation 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release: AI-powered bank credit due diligence assistant covering borrower analysis, financial review, industry risk, and investigation report generation
元数据
Slug bank-credit-investigation
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Bank Credit Investigation Assistant 是什么?

AI-powered bank credit due diligence assistant - analyze borrowers, financials, industry risk, and generate complete investigation reports through structured... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 30 次。

如何安装 Bank Credit Investigation Assistant?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install bank-credit-investigation」即可一键安装,无需额外配置。

Bank Credit Investigation Assistant 是免费的吗?

是的,Bank Credit Investigation Assistant 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Bank Credit Investigation Assistant 支持哪些平台?

Bank Credit Investigation Assistant 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Bank Credit Investigation Assistant?

由 lingfeng-19(@gechengling)开发并维护,当前版本 v1.0.0。

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