data-transform

Pass

Audited by Gen Agent Trust Hub on Aug 6, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill uses established, well-known data science libraries (pandas, numpy, and scikit-learn) for their intended purposes of data manipulation and preprocessing.
  • [SAFE]: Data operations are localized to the user's environment; data ingestion is performed via standard CSV reading methods (e.g., pd.read_csv), and there are no network-based exfiltration or remote code execution patterns present.
  • [SAFE]: No obfuscation, privilege escalation, or persistence mechanisms were detected. The technical guidance provided, including the warnings about API usage (like .dtype vs .dtypes), is accurate and consistent with standard data science best practices.
Audit Metadata
Risk Level
SAFE
Analyzed
Aug 6, 2026, 10:28 AM