auditing-jupyter-execution-order

What problem does it solve?

This Skill audits Jupyter notebooks for execution-order mistakes that can make results unreproducible, misleading, or unsafe to share. It helps you catch cells that ran out of order, were edited but not re-run, or silently depend on stale notebook state.

Core Features & Use Cases

• Run-order validation: Detects non-monotonic execution counts that indicate the kernel executed cells in a different order than the notebook layout.
• Stale-state detection: Flags unrun cells that downstream cells still reference, helping expose hidden dependence on old bindings.
• Notebook safety checks: Surfaces errored cells, cleared-output notebooks, and papermill-produced notebooks so you can choose the right review path.
• Sharing and grading readiness: Ideal before sending a notebook to teammates, committing it, submitting it for class, or turning it into a paper or report.

Quick Start

Ask this Skill to audit the attached Jupyter notebook for out-of-order, unrun, or stale cells and tell you whether it is safe to share.