code-review
code-review is a Change & PR review skill for AI agents, published by tttmmmyyyy in the fixlang repository on GitHub. Skillspace rates code-review F (53/100) and it passed the safety scan; the rating is based on static analysis only.
Run review aspects sequentially against a chosen scope of code via subagents. Each subagent applies one aspect's conventions (fix-test-main-reference, design-fit, test-sufficiency, code-quality, shorten-qualifiers, comment-style, no-personal-info), all defined in this same file. After the aspects, the orchestrator commits each editing aspect's changes as its own commit, then applies `cargo fmt` as a final standalone commit. Use when: reviewing code just written by AI (uncommitted changes), or doing a pre-merge review of an entire branch.
- Grade
- F
- Quality
- 53 / 100
- Safety
- Passed
- GitHub stars
- 83
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 80 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.