Jupyter Reproducibility Checker Skill

SkillDev tools

Skill for checking and ensuring Jupyter notebook reproducibility

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Jupyter Reproducibility Checker Skill skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/scientific-discovery/skills/jupyter-reproducibility-checker/SKILL.md and read by ahel’s review.

Purpose

Check and ensure reproducibility of Jupyter notebooks including cell execution order, environment dependencies, and output consistency.

Capabilities

Verify execution order
Check dependencies
Test reproducibility
Clear and rerun notebooks
Document environments
Generate requirements

Usage Guidelines

Load notebook
Check execution order
Identify dependencies
Test fresh execution
Document environment
Generate reports

Process Integration

Works within scientific discovery workflows for:

Reproducibility audits
Notebook cleanup
Environment documentation
Quality assurance

Configuration

Check criteria
Execution settings
Environment capture
Report formatting

Output Artifacts

Reproducibility reports
Dependency lists
Environment files
Cleaned notebooks

Signals

GitHub stars: 2k
Forks: 112
Last commit: Sep 2026

Advanced

Item type: skill
Key: jupyter-reproducibility-checker
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter