pyhealth
Pass
Audited by Gen Agent Trust Hub on Feb 17, 2026
Risk Level: SAFE
Full Analysis
- SAFE (SAFE): The content consists entirely of educational documentation and code examples for the PyHealth library. No malicious instructions, obfuscation, or unauthorized data access patterns were found.
- Data Handling (SAFE): While the documentation describes the processing of sensitive healthcare data (EHR), it correctly uses placeholders for local file paths and emphasizes best practices like patient-level splitting to prevent data leakage in machine learning tasks.
- Library Usage (SAFE): The referenced library 'pyhealth' is a standard academic and research tool for healthcare AI. No suspicious remote package installations or executions were detected.
Audit Metadata