reproducibility-package-review
CommunityEnsure result reproducibility before paper submission.
Software Engineering#data integrity#regression testing#reproducibility#research workflow#academic publication
Authorstephendor
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill unit helps researchers ensure the reproducibility of their results before submitting them for publication.
Core Features & Use Cases
- End-to-End Reproducibility Check: Confirms that all committed results can be regenerated from committed scripts, seeds, and parameters.
- Git Integration: Validates that producer scripts and regeneration commands are correctly committed to the branch.
- Seed and Parameter Recording: Ensures that seeds and run parameters for stochastic steps are properly recorded in the script and vault.
- Intermediates Presence Verification: Checks for the existence of gitignored files needed for downstream processing.
- Final Reproducibility Verification: Verifies that results can be rebuilt following the recorded commands, ensuring full reproducibility.
Quick Start
Run the reproducibility-package-review skill to check the reproducibility of your latest result set.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: reproducibility-package-review Download link: https://github.com/stephendor/TDL/archive/main.zip#reproducibility-package-review Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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