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reviewing-code-for-science

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Reviewing scientific code — correctness, reproducibility, numerical soundness, and constructive feedback.

skills/reviewing-code-for-science/SKILL.md

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## Overview

Scientific code review differs from software code review: the primary
question is whether the code correctly implements the science, not
whether it follows style guides. This skill covers reviewing for
correctness (algorithms, units, edge cases), reproducibility
(environments, seeds, versions), numerical soundness, and giving
feedback that improves both the code and the science it produces.

## When to use

- Reviewing code accompanying a manuscript or in a pull request
- Auditing a collaborator's analysis pipeline before trusting its output
- Checking reproducibility of published computational results
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