quantitative-finance
Pass
Audited by Gen Agent Trust Hub on Mar 17, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: Comprehensive review of the code and instructions revealed no signs of malicious activity. The Python code blocks provide legitimate templates for backtesting and strategy development without any dangerous functions or injections.- [EXTERNAL_DOWNLOADS]: The skill references industry-standard libraries (e.g., NumPy, Pandas, Scikit-learn, PyTorch) and established financial data providers (e.g., Bloomberg, Alpaca). These are well-known technology entities and are considered trusted sources.- [COMMAND_EXECUTION]: No unauthorized command execution or privilege escalation attempts were detected. The skill focuses on data processing and simulation within controlled environments.- [DATA_EXFILTRATION]: While the skill includes a system monitoring module capable of sending email alerts via SMTP, it uses dummy placeholder configurations and represents standard operational functionality for production trading systems.
Audit Metadata