Retenta reviewed the pinned source but did not install or execute this skill.
Evidence record · captured 2026-10-10
OpenAI Jupyter Notebook
A template-first workflow for reproducible experiment and tutorial notebooks, with safe scaffolding, focused cells, validation, and explicit output conventions.
Editorial assessment
This is a source-only assessment. It does not claim runtime or security testing.
What it does
The skill classifies a notebook as an experiment or tutorial, scaffolds valid JSON from a bundled template, fills it with small runnable steps, and validates the result top to bottom when execution is available.
Best for
- Exploratory experiments that others must rerun
- Teaching-oriented notebook walkthroughs
- Refactoring a rough notebook into a readable sequence
Strengths in the source
- Avoids hand-authoring fragile notebook JSON by using a standard-library helper.
- Makes audience, objective, and completion criteria explicit before adding cells.
- Separates intermediate and final artifact paths and requires disclosure when execution is unavailable.
Limitations
- The most detailed patterns live in bundled references not summarized in the top-level skill.
- Its default paths and environment variables are tailored to a Codex skill installation.
- Reproducibility still depends on documenting data and package versions inside the notebook.
- The pinned publisher repository is deprecated in favor of OpenAI's plugins repository, so confirm the current distribution path before adopting it.
When not to use it
- A plain Python script or package is the actual deliverable
- A notebook that cannot include the data or environment needed to rerun it
Reviewed by Retenta editorial on 2026-10-10; scope: source only.
Files included in this review
skills/.curated/jupyter-notebook/SKILL.mdREADME.mdskills/.curated/jupyter-notebook/LICENSE.txt
Evidence and boundaries
No sandbox run, dependency audit, or independent security assessment is claimed.
- Pinned publisher source
- skills/.curated/jupyter-notebook/SKILL.md
- Revision
- 49f948faa9258a0c61caceaf225e179651397431
- License evidence
- Apache-2.0The pinned skill directory includes an Apache License, Version 2.0 LICENSE.txt.
- Last source change
- 2026-01-31
- Independent verification
- The source is controlled by OpenAI; Retenta has not independently verified its runtime behavior or security.
- Upstream repository
- Open publisher repository
Compatibility
Codex
documentedOpenAI's repository documents curated skills for Codex and installation through the built-in skill installer.
Requirements and access
- Python 3.12 through uv for the documented scaffold path
- The bundled notebook templates and new_notebook.py helper
- JupyterLab and ipykernel only when local execution is needed
Referenced tools
uvJupyterBundled notebook scaffolderInstall from the source
The pinned README documents name-based installation for curated skills and says to restart Codex. It also marks this repository deprecated in favor of OpenAI's plugins repository, so confirm the current path before adopting it.
View the SKILL.md at its source Verify the publisher's install documentationCodex skill installer
$skill-installer jupyter-notebookThyme RAG Capsules
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A Retenta capsule lets agents recall prior work, append provenance-stamped progress, and carry the memory to the next run.