data-transform
Pass
Audited by Gen Agent Trust Hub on Jul 22, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill contains standard, educational Python code snippets for data cleaning, normalization, reshaping, and feature engineering.
- [SAFE]: It utilizes well-known, legitimate data science libraries (pandas, numpy, and scikit-learn) for their intended purposes.
- [SAFE]: Data access is limited to local CSV files within the user's environment, consistent with the skill's stated purpose.
- [SAFE]: No patterns of prompt injection, data exfiltration, obfuscation, or unauthorized command execution were identified.
Audit Metadata