review-loop
review-loop is a Multi-agent review & consensus skill for AI agents, published by didi in the mpx repository on GitHub. Skillspace rates review-loop B (80/100) and it passed the safety scan; the rating is based on static analysis only.
Use this skill whenever the user asks for a review loop, self-review workflow, planner/reviewer/coder/code-reviewer collaboration, plan-before-code process, multi-round agent review, or a stable subagent workflow that must produce a plan, wait for user confirmation, implement code, review the diff, and preserve revision records. This skill requires real subagent support and must not fall back to single-agent roleplay.
- Grade
- B
- Quality
- 80 / 100
- Safety
- Passed
- GitHub stars
- 3,908
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
- 98 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Portable: works in any project. Generic planner/coder/reviewer subagent loop for any project
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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