bioservices

Pass

Audited by Gen Agent Trust Hub on Oct 1, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill facilitates programmatic access to legitimate bioinformatics APIs (UniProt, KEGG, ChEMBL, etc.) using the established bioservices Python library for scientific research purposes.
  • [SAFE]: The requirement for a contact email (NCBI_EMAIL) is a documented requirement for identifying users of the NCBI BLAST service and does not represent credential exfiltration or a security risk.
  • [SAFE]: Python scripts provide standard functionality for data retrieval and local file storage (CSV/TSV/SIF) without any suspicious command execution, persistence mechanisms, or network exfiltration to unknown domains.
  • [SAFE]: No obfuscation, multi-layer encoding, homoglyph attacks, or hidden URLs were detected in the instructions or the source code.
  • [SAFE]: The skill contains a data ingestion surface (reading identifiers from files in batch_id_converter.py), but the risk of indirect prompt injection is mitigated by the structured nature of the data and standard Python processing methods.
Audit Metadata
Risk Level
SAFE
Analyzed
Oct 1, 2026, 07:50 AM
Security Audit — agent-trust-hub — bioservices