data-analysis-jupyter

Pass

Audited by Gen Agent Trust Hub on Apr 30, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill provides legitimate instructions for data analysis, visualization, and notebook management using industry-standard libraries.
  • [EXTERNAL_DOWNLOADS]: Dependencies listed (pandas, numpy, matplotlib, seaborn, jupyter, scikit-learn, scipy) are well-known, trusted libraries from standard package registries.
  • [REMOTE_CODE_EXECUTION]: No patterns of remote script execution or untrusted code downloads were detected.
  • [DATA_EXFILTRATION]: No patterns of sensitive file access or unauthorized network operations were identified.
Audit Metadata
Risk Level
SAFE
Analyzed
Apr 30, 2026, 09:42 AM
Security Audit — agent-trust-hub — data-analysis-jupyter