jupyter-reproducibility-checker

name	jupyter-reproducibility-checker
description	Skill for checking and ensuring Jupyter notebook reproducibility
allowed-tools	["Bash","Read","Write"]
metadata	{"specialization":"scientific-discovery","domain":"science","category":"Reproducibility","skill-id":"SK-SCIDISC-024"}
graph	{"domains":["domain:scientific-discovery"],"specializations":["specialization:scientific-research-methods"],"skillAreas":["skill-area:data-analysis","skill-area:statistical-analysis","skill-area:deep-web-research"],"workflows":["workflow:experiment-design","workflow:peer-review-cycle"],"roles":["role:research-engineer","role:computational-scientist"]}

Jupyter Reproducibility Checker Skill

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

1. Load notebook
2. Check execution order
3. Identify dependencies
4. Test fresh execution
5. Document environment
6. 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