backtesting-frameworks

Pass

Audited by Gen Agent Trust Hub on Apr 8, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: No malicious patterns or security vulnerabilities were detected across the analyzed files. The skill focuses on financial engineering logic and providing educational patterns for trading strategy validation.- [SAFE]: The provided Python implementations utilize standard libraries such as pandas and numpy for numerical data manipulation. There are no instances of dangerous operations such as dynamic code execution, unauthorized network requests, or sensitive file system access.- [SAFE]: All external resource references point to legitimate documentation for backtesting libraries or authoritative literature on quantitative finance, presenting no risk to the user or system environment.
Audit Metadata
Risk Level
SAFE
Analyzed
Apr 8, 2026, 01:54 PM