quant-strategy-quick-backtest
Pass
Audited by Gen Agent Trust Hub on Jun 29, 2026
Risk Level: SAFE
Full Analysis
- [COMMAND_EXECUTION]: The skill uses Python execution in a sandbox environment to perform backtest calculations. This is a core part of its intended functionality and is restricted to mathematical processing of financial data.
- [EXTERNAL_DOWNLOADS]: The skill references well-known financial libraries such as 'akshare' and 'yfinance' for data retrieval if internal tools are insufficient. These are standard packages in the quantitative finance ecosystem.
- [SAFE]: The workflow prioritizes the use of authorized vendor tools ('gildata-aidata') for fetching market data, ensuring a controlled data supply chain.
- [SAFE]: Includes comprehensive risk detection logic (overfitting assessments) and clear disclosures regarding the limitations of backtesting, which promotes responsible and safe use of the AI agent.
Audit Metadata