industry-bond-risk-control

Generates financial risk screening reports for industrial bond issuers using credit data queries.

606|68|Updated Apr 21, 2025
One-click install
npx skills add https://github.com/aliyun/qwen-dianjin --skill industry-bond-risk-control
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: industry-bond-risk-control
Source: https://github.com/aliyun/qwen-dianjin/tree/main/DianJin-SKILLS/investment-researcher/industry-bond-risk-control
Command: npx skills add https://github.com/aliyun/qwen-dianjin --skill industry-bond-risk-control

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Fixed-income researchers and risk managers need to manually gather financial statements, judicial records, rating changes, and guarantee information from scattered sources to assess the credit risk of industrial bond issuers, which is slow and error-prone.

Core Features & Use Cases

  • Automated Data Collection: Queries issuer financials, judicial records (executed persons, dishonest lists, court sessions, judgments), equity pledges, regulatory penalties, tax arrears, and external guarantees via the finx gildata-aidata toolset.
  • Structured Risk Report: Produces a Markdown risk-control report covering cash flow health, interest-bearing debt pressure, guarantee chains, judicial risk, rating changes, and a weighted risk scorecard with a four-level risk rating.
  • Risk Signal Rules: Applies explicit threshold rules (e.g., asset-liability ratio above 70%, cash-to-short-term-debt below 1, dishonest debtor records as veto items) to flag risk levels.
  • Use Case: A bond analyst receives a holding alert on an industrial bond and uses this Skill to produce a full credit risk health-check report on the issuer within one conversation.

Quick Start

Run a full financial risk-control check on the bond issuer 万科企业股份有限公司 and generate the structured risk report.

Frequently Asked Questions about industry-bond-risk-control

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

FAQPage Schema
How do I run a credit risk check on a bond issuer?

Provide the company name or bond code, and the workflow queries issuer financials, judicial records, rating changes, and guarantees through finx gildata-aidata, then compiles a structured risk report with an overall risk rating.

What data sources does bond risk screening use?

It uses the finx gildata-aidata toolset, covering financial statements, bond financial analysis indicators, executed persons, dishonest debtor lists, court sessions, judgments, equity pledges, regulatory penalties, tax arrears, external guarantees, and rating changes.

Can I assess risk for non-listed bond issuers?

Yes, but financial data for non-listed companies may be incomplete. The assessment then relies mainly on business registration information, judicial records, and credit rating information, and the report notes this limitation.

What risk thresholds trigger warnings in the report?

Key thresholds include asset-liability ratio above 70%, cash-to-short-term-debt ratio below 1, interest coverage below 3, and external guarantees exceeding 50% of net assets. Dishonest debtor or consumption restriction records are treated as high-risk veto items.

What are the limitations of automated bond risk reports?

The report reflects a point-in-time snapshot based on publicly available data and does not constitute investment advice. Industry-specific threshold differences and post-report information changes require periodic re-checks and cross-validation.