pyhealth

This skill manifest/documentation appears consistent with its stated purpose (healthcare ML toolkit). There is no evidence in the documentation of malicious behavior, obfuscation, hardcoded secrets, or third‑party credential harvesting. The primary risk is privacy and operational: the examples and workflows operate on sensitive clinical datasets (MIMIC, eICU, OMOP) and print/save identifiers and predictions without explicit guidance on PHI protection, access control, or secure logging. Recommend: (1) fix the install typo; (2) ensure the actual package enforces or documents safe PHI handling, secure logging, and dataset access/authentication; (3) audit the runtime package for any hidden network endpoints, telemetry, or data exfiltration. Based on the manifest alone, classify as BENIGN but PRIVACY‑SENSITIVE.