Reproducibility Audit

Purpose

Help the user make a research project reproducible enough that another person, or their future self, can rerun it. This skill follows the handbook's reproducibility section: exact environments, data and code versioning, documentation, random seeds, parameter logging, and backups.

The output is an audit report plus a prioritized fix list.

When to Use

• User is starting or cleaning a research codebase
• User needs collaborator handoff
• User cannot reproduce an old experiment
• User is preparing for paper submission or public release
• User is moving between local, server, HPC, Docker, or conda environments

Workflow

Stage 1: Identify the Project Context