data-jupyter-python
Pass
Audited by Gen Agent Trust Hub on Oct 9, 2026
Risk Level: SAFENO_CODE
Full Analysis
- [SAFE]: The skill provides high-level guidelines and best practices for data analysis. It contains no executable code, shell commands, or network activity.
- [EXTERNAL_DOWNLOADS]: The documentation references standard Python libraries including pandas, numpy, matplotlib, seaborn, jupyter, and scikit-learn. These are well-known, established packages necessary for the skill's primary purpose.
Audit Metadata