parabolic-short-trade-planner
Pass
Audited by Gen Agent Trust Hub on May 9, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill uses established financial data providers (alpaca.markets and financialmodelingprep.com) for its primary data needs.
- [SAFE]: Credentials such as API keys are managed through environment variables or CLI arguments, adhering to standard security practices for preventing secret exposure.
- [SAFE]: The code specifically avoids dangerous functions like
eval()orexec(). Inintraday_size_resolver.py, the author explicitly implemented mathematical formulas in code to avoid the security risks of dynamic string evaluation. - [SAFE]: File system operations are limited to storing trade state and generating reports in local, user-defined directories.
- [SAFE]: There are no signs of obfuscation, multi-layer encoding, or hidden network operations. The project structure is clear, and the included documentation matches the implemented logic.
Audit Metadata