orizi-review
orizi-review is a Change & PR review skill for AI agents, published by starkware-libs in the cairo repository on GitHub. Skillspace rates orizi-review D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Code review in the style of Ori Ziv (orizi). Reviews for correctness, simplicity, clean code, and performance. Catches unnecessary complexity, redundant code, naming issues, and architectural concerns. Use /orizi-review [file or PR] to review changed code.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 1,896
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
- 93 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Apache-2.0
- 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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