pair-trade-screener
Pass
Audited by Gen Agent Trust Hub on Apr 20, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill implements standard statistical arbitrage workflows using reputable scientific libraries such as pandas, statsmodels, and scipy. Its behavior aligns perfectly with its stated purpose of identifying cointegrated stock pairs.
- [EXTERNAL_DOWNLOADS]: The skill fetches historical stock price data from Financial Modeling Prep (financialmodelingprep.com). This is a well-known financial data provider, and the network activity is restricted to retrieving market data necessary for analysis.
- [CREDENTIALS_UNSAFE]: Security best practices are followed for credential management. The skill requires an API key but instructs users to provide it via environment variables or command-line arguments, avoiding hardcoded secrets.
- [COMMAND_EXECUTION]: Python scripts provided in the skill are dedicated to data processing and statistical testing. No evidence of shell injection, arbitrary command execution, or unauthorized system modifications was found.
- [DATA_EXFILTRATION]: No patterns of sensitive data exfiltration were detected. The scripts only transmit stock tickers to the authorized API endpoint to retrieve price history.
Audit Metadata