working-in-notebooks
Pass
Audited by Gen Agent Trust Hub on Oct 2, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides educational content focused on best practices for data science notebooks, ensuring users follow standard and secure workflows.
- [CREDENTIALS_SAFE]: The skill explicitly warns against hardcoding secrets and provides safe alternatives using environment variables and secret managers, promoting secure development practices.
- [EXTERNAL_DOWNLOADS]: References to external tools and libraries (e.g., Jupyter, marimo, nbstripout) target well-known and established services or official repositories.
- [COMMAND_EXECUTION]: Command examples (e.g., pip install, git clone) are provided in an instructional context for setting up environments and are standard for the intended use-case of notebook management.
Audit Metadata