volatility-modeling
Pass
Audited by Gen Agent Trust Hub on Mar 21, 2026
Risk Level: SAFE
Full Analysis
- [EXTERNAL_DOWNLOADS]: The skill dependencies include standard, widely-trusted Python libraries:
pandas,numpy,scipy, andhttpx. These are required for numerical processing and API communication and are sourced from the official Python Package Index. - [DATA_EXFILTRATION]: The scripts
scripts/estimate_volatility.pyandscripts/vol_forecast.pyperform outgoing HTTP GET requests topublic-api.birdeye.so. This is an established domain for cryptocurrency market data. The implementation uses environment variables for API key management, which is a secure practice that prevents credential leakage in the source code. The network activity is restricted to fetching public market data. - [SAFE]: Analysis of the skill body and scripts confirms that all logic is dedicated to mathematical modeling (GARCH, EWMA, and OHLC estimators). There are no instances of shell command execution, dynamic code loading, or attempts to access sensitive system files like SSH keys or environment configuration.
Audit Metadata