loop
loop is a Multi-agent review & consensus skill for AI agents, published by in-the-loop-labs in the pair-review repository on GitHub. Skillspace rates loop D (55/100) and it passed the safety scan; the rating is based on static analysis only.
Drive an implement→review→fix loop with pair-review as the review oracle: run multi-model council reviews, triage the findings, apply fixes, and repeat with narrowing instructions until a final review returns no blockers. Use when the user says "pair loop", "review loop", "loop until clean", "review this with pair-review and fix what it finds", or wants iterative development reviewed by pair-review councils.
- Grade
- D
- Quality
- 55 / 100
- Safety
- Passed
- GitHub stars
- 39
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
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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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