reviewloop
reviewloop is a Review feedback & PR process skill for AI agents, published by ankitvgupta in the exo repository on GitHub. Skillspace rates reviewloop D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Iteratively improves a PR until all review bots (Greptile, Devin, and others) are satisfied with zero unresolved comments, then fixes any CI failures. Triggers reviews, fixes all actionable comments, pushes, re-triggers, and repeats. Use when the user wants to fully optimize a PR against all automated code review feedback.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 480
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
- 81 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 1 other repositories, in 0 collections
What the scanner flagged
- over-broad allowed-tools ('*')
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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.