review-front
review-front is a Change & PR review skill for AI agents, published by DGouron in the review-flow repository on GitHub. Skillspace rates review-front F (52/100) and it passed the safety scan; the rating is based on static analysis only.
Complete code review of a MR/PR with 7 sequential audits (Clean Architecture, DDD, TypeScript Best Practices, SOLID, Clean Code, Testing, Code Quality). An orchestrator runs each audit one by one to avoid memory spikes. Generates an .md report and posts it directly on the MR/PR. Direct mode with sourced lessons.
- Grade
- F
- Quality
- 52 / 100
- Safety
- Passed
- GitHub stars
- 41
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
- 70 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
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
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