credit-related-party-detection

What problem does it solve?

This Skill solves the problem of identifying related parties and abnormal related-party transactions for corporate credit use, so that credit teams can detect关联风险 before it propagates into授信安全.

Core Features & Use Cases

• Six-dimension related-party mapping: Builds an entity graph across equity, management roles, family ties, transaction links, guarantee relationships, and implicit signals to surface hidden connections.
• Four-flows verification of transaction abnormality: Applies contract flow, invoice flow, logistics/service flow, and fund flow cross-checking to detect资金空转、转移定价、虚构交易、利润转移等风险 signals.
• Risk scoring with veto flags: Produces structured risk grading (high/medium/low) and enforces one-veto conditions (R1–R6) for immediate red labeling and escalation.
• Use cases: Lend-before related-party checks for new borrowers, lend-during monitoring for existing facilities, and lend-after early warning triggers requiring deep reassessment.

Quick Start

Use the credit-related-party-detection skill to produce a structured related-party map and a risk report for the customer with the provided credit scenario and unified social credit code.