jupyter-notebook
Pass
Audited by Gen Agent Trust Hub on Jun 18, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill uses a local Python script (
scripts/new_notebook.py) to scaffold Jupyter notebooks from local templates (assets/*.ipynb). This approach avoids manual JSON authoring and prevents common structural errors. - [SAFE]: The Python script uses only standard library modules (
json,argparse,re,pathlib) and performs safe file operations within a defined output directory. - [SAFE]: Recommended dependencies (
jupyterlab,ipykernel) are standard, well-known tools from the Python data science ecosystem. - [SAFE]: Input handling for notebook titles includes slugification and safe interpolation into markdown cells, which is consistent with the skill's intended purpose of generating user-requested content.
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