conventional-commit
conventional-commit is a Commits & pushing skill for AI agents, published by OpenCSGs in the csgclaw repository on GitHub. Skillspace rates conventional-commit C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Draft Conventional Commit messages from the current git changes in a local repository. Use when Codex should inspect staged or unstaged diffs, infer the primary change, suggest one or more commit messages, and warn when the changes should be split into multiple commits.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 20
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it is a near-duplicate variant of another skill. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked 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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