credit-analysis

Pass

Audited by Gen Agent Trust Hub on Aug 15, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill provides documentation and implementation examples for financial models such as Altman Z-Score, Merton Model, and KMV. It utilizes a local library (src.quantlib) for calculations, which is a standard practice for modular skills.
  • [COMMAND_EXECUTION]: The skill includes Python code snippets for financial calculations. These snippets demonstrate the usage of pre-defined functions for bond pricing and credit scoring. No arbitrary shell command execution or unsafe eval/exec calls were found.
  • [DATA_EXFILTRATION]: No network operations, hardcoded credentials, or exfiltration patterns were detected. All data processing is local to the agent's environment.
  • [INDIRECT_PROMPT_INJECTION]: While the skill processes external financial data (e.g., bond terms, financial statements), it lacks capabilities that could be exploited via indirect injection, such as network writing or file system modification based on untrusted input.
Audit Metadata
Risk Level
SAFE
Analyzed
Aug 15, 2026, 02:30 PM
Security Audit — agent-trust-hub — credit-analysis