codex-review
codex-review is a Review feedback & PR process skill for AI agents, published by owenlamont in the ryl repository on GitHub. Skillspace rates codex-review D (67/100) and it passed the safety scan; the rating is based on static analysis only.
Drive a Codex CI code review on a GitHub PR end to end, from triggering it through monitoring and classifying the verdict (clean / findings / rate-limited) to handling the resulting comments (react, resolve, reply). Use after pushing changes you want Codex to (re-)review, while waiting on a verdict, or when triaging Codex's review comments. It encodes the polling gotchas (REST not GraphQL, three verdict channels, transient 👀) and the comment-handling conventions (when to thumbs-up/down, resolve, or reply).
- Grade
- D
- Quality
- 67 / 100
- Safety
- Passed
- GitHub stars
- 52
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
- 94 / 100
- Maturity
- Structured: ships references or scripts
- 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.