arboreto
Pass
Audited by Gen Agent Trust Hub on Mar 31, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADSCOMMAND_EXECUTION
Full Analysis
- [SAFE]: No malicious patterns or security vulnerabilities were detected. The skill's functionality aligns with its stated purpose of performing gene regulatory network inference.
- [EXTERNAL_DOWNLOADS]: The skill manages dependencies using 'uv pip' to install the 'arboreto' package along with established libraries such as scipy, scikit-learn, numpy, pandas, and dask. These are recognized, legitimate tools in the scientific computing ecosystem.
- [COMMAND_EXECUTION]: The included Python scripts and shell commands are standard for data processing and resource management. The documentation correctly identifies the requirement for multiprocessing guards ('if name == "main":') when utilizing the Dask distributed framework, which is a common best practice.
Audit Metadata