pyhealth

Pass

Audited by Gen Agent Trust Hub on Mar 3, 2026

Risk Level: SAFEEXTERNAL_DOWNLOADS
Full Analysis
  • [SAFE]: The skill serves as a guide for the PyHealth library, focusing on clinical prediction tasks, medical coding, and model evaluation. The analysis confirmed that all instructions and code snippets are standard for healthcare machine learning and do not contain malicious payloads.
  • [EXTERNAL_DOWNLOADS]: The skill documentation includes instructions for installing the 'pyhealth' package via standard Python package managers. It also references the use of pre-trained clinical models from HuggingFace, which is an established and trusted platform for AI researchers.
  • [COMMAND_EXECUTION]: All code examples demonstrate benign library usage for data science and machine learning. No unauthorized subprocess calls, shell injections, or persistence mechanisms were identified.
Audit Metadata
Risk Level
SAFE
Analyzed
Mar 3, 2026, 08:47 PM