reproducibility-checklist
byandikarachman· 19 skills
Verify that an ML experiment meets reproducibility requirements: random seeds, library versions, data hashes, environment capture. Use when reviewing experiments before shipping.
How to install reproducibility-checklist?
andikarachman/data-science-plugin/reproducibility-checklist
$npx -y skills add andikarachman/data-science-plugin --skill reproducibility-checklistInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/andikarachman/data-science-plugin" --skill "andikarachman/data-science-plugin/reproducibility-checklist"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/andikarachman/data-science-plugin" that are relevant to the current task. Run `npx skills add "https://github.com/andikarachman/data-science-plugin"` and select the relevant skills, then follow their instructions.
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