atomic-commits
atomic-commits is a Commits & pushing skill for AI agents, published by NickCrew in the Claude-Cortex repository on GitHub. Skillspace rates atomic-commits D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Use this skill when a working tree contains uncommitted changes that need to be split into a sequence of atomic commits — typically after a long session, an agent hand-off, a rebase resolution, or anytime `git status` shows mixed work that was not committed as it landed. The skill assumes the agent has fresh context and did not author most of the diff, so it treats the working tree as evidence to investigate before grouping. Optimizes for `git bisect`: each commit is the smallest buildable and deployable unit, and no smaller. Uses `cortex git commit` for file-level commits and `cortex git patch --diff` when unrelated changes share a file.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 20
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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