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samuhs/mad-science

v0.1.0

Hypothesis-driven data science skills: sharpen a hypothesis, write the experiment contract, slice it into a pipeline, implement it expectation-first in notebooks, review it, and turn results into an article.

exp-review

Review experiment code and Jupyter notebooks on two axes in parallel sub-agents: standards (does the code follow the repo's documented coding standards?) and quality (reproducibility, fixed seeds, data leakage, security, scalability, error handling). Use when the user wants to review an experiment, notebook or ML pipeline before moving on.

Read SKILL.md at the source

Pinned to revision 6754a6b08bf9, so it is the text this page describes rather than whatever the author pushed since.

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