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kreid415kreid415/claude-science-skills/reproducible/SKILL.md

reproducible

Skill1 starsChanged 41 days agoNo licenceView on GitHub

Make a Claude Science project's results auditable and verifiable by a human scientist, and scaffold a git-ready repository to hold them. Use this whenever the user wants to audit, verify, or fact-check results; make outputs traceable/reproducible; produce a provenance record or verification bundle; check that reported numbers actually come from the artifacts; prepare work for peer review or a reviewer; or commit a project to GitHub as a clean data-gather + src + experiments + results + paper tree. Trigger it on phrases like "audit my results", "make this verifiable", "can a reviewer check this", "where did this number come from", "trace every figure to its source", "prove these numbers are real", or "organize this project for reproducibility" — even when the user does not say the word "reproducible".

  • Reads credentials
  • Installs packages

The file

We split this skill into the rules it gives an agent

7 rules. About 0 are common, 4 are distinctive, and 3 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈4

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 3

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

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