data-scientist

Pass

Audited by Gen Agent Trust Hub on Sep 28, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill implements a legitimate data science workflow including feature engineering, model evaluation, and A/B testing.
  • The instructions are well-defined and focus on standard professional practices.
  • Local scripts (experiment_tracker.py, feature_selector.py, hypothesis_tester.py) are provided for data analysis and do not interact with the network or access sensitive system paths.
  • Data ingestion surfaces in the scripts (CSV reading) are handled by standard library modules (csv, json) and are used strictly for mathematical calculations and local logging.
  • No obfuscation, privilege escalation, or persistence mechanisms were detected across any of the files.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 28, 2026, 07:13 AM
Security Audit — agent-trust-hub — data-scientist