review-driven-development
review-driven-development is a Change & PR review skill for AI agents, published by Yvictor in the skills repository on GitHub. Skillspace rates review-driven-development D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Use when developing features from GitHub/GitLab issues through to merged PRs/MRs with iterative review cycles. Covers: issue research, implementation planning, worktree isolation, coding, testing, PR/MR creation, multi-reviewer code review (current agent, codex exec, claude -p), fix-review loops until APPROVE, merge and cleanup. Composable with TDD, BDD, systematic-debugging, and other methodology skills. Use this whenever: user provides an issue number (#NN), asks to implement a feature from an issue, wants to create a reviewed PR/MR, or needs code reviewed iteratively before merging. Even if the user just says "implement #42" or "work on issue 15", this skill applies.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 31
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
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- 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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