credit-due-diligence

Generate structured enterprise credit due diligence reports with risk metrics.

580|66|Updated Apr 21, 2025
One-click install
npx skills add https://github.com/aliyun/qwen-dianjin --skill credit-due-diligence
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: credit-due-diligence
Source: https://github.com/aliyun/qwen-dianjin/tree/main/DianJin-SKILLS/corporate-banker/credit-due-diligence
Command: npx skills add https://github.com/aliyun/qwen-dianjin --skill credit-due-diligence

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill eliminates the manual, error-prone work of producing a bank-grade enterprise credit due diligence report by systematically collecting and validating multi-source enterprise, credit, financial, and business-evidence data. It helps credit teams assess first repayment source strength, detect authenticity risks, and produce a structured output ready for lending review.

Core Features & Use Cases

  • End-to-end due diligence workflow (step-gated): Runs a fixed, gated process from data verification to risk assessment and lending recommendation.
  • Multi-source data integration & validation: Enumerates documents, verifies data completeness, calculates core financial metrics, and cross-checks business authenticity using contracts/invoices/water-power/utilities and bank flows.
  • Risk & red-line governance: Applies predefined constraints and one-veto red lines (D1–D7) to determine whether to recommend, conditionally recommend, defer, or prohibit lending.
  • Structured, downstream-compatible report output: Produces a structured report with quantified metrics, explicit data sources, and an audit-trail-ready structure.

Quick Start

Use the credit-due-diligence skill to generate a due diligence report for a new corporate loan request by providing the enterprise name, due diligence purpose (e.g., first loan), and uploading the required工商/征信/财务/合同/发票/流水 materials.

Frequently Asked Questions about credit-due-diligence

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate a bank-grade enterprise credit due diligence report?▼

To generate a bank-grade enterprise credit due diligence report, provide the enterprise name, due diligence purpose, and upload required business registration, credit bureau, financial, contract, invoice, and bank flow materials for systematic multi-source validation.

What is a one-veto red line in corporate credit risk assessment?▼

A one-veto red line in corporate credit risk assessment is a predefined constraint (D1–D7) that automatically triggers a defer or prohibit lending recommendation, overriding any other positive financial metrics to ensure strict compliance.

How to cross-validate business authenticity for a pre-loan due diligence check?▼

To cross-validate business authenticity during a pre-loan due diligence check, analyze and verify operating evidence such as contracts, invoices, utility bills, and bank flows against submitted financial statements and registration data.

Can I use this structured report workflow for renewal loans and additional credit applications?▼

Yes, you can use this structured report workflow for renewal loans and additional credit applications, as the step-gated process supports various pre-loan corporate banking scenarios requiring first repayment source strength assessment.

How does the DSCR calculation fit into the enterprise risk evaluation process?▼

The DSCR calculation fits into the enterprise risk evaluation process by serving as a quantified risk metric that helps assess the strength of the first repayment source before generating a restricted, non-overreaching lending recommendation.

What are the limitations of automated audit trail generation in credit due diligence?▼

The limitation of automated audit trail generation in credit due diligence is that it relies entirely on the completeness of uploaded documents; missing financial statements or incomplete bank flow data will restrict the system's ability to validate authenticity and produce lending recommendations.