reproducibility-audit
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
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