seaborn

Pass

Audited by Gen Agent Trust Hub on Jun 16, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill is composed of technical documentation and standard Python code snippets for data visualization. No malicious behaviors, obfuscation, or safety bypass attempts were identified.
  • [EXTERNAL_DOWNLOADS]: The examples utilize the standard library function seaborn.load_dataset(), which retrieves sample datasets from Seaborn's official public repository on GitHub. This is a routine operation for this library and targets a well-known, trusted source.
Audit Metadata
Risk Level
SAFE
Analyzed
Jun 16, 2026, 01:24 PM
Security Audit — agent-trust-hub — seaborn