ql-deep-review
ql-deep-review is a Multi-agent review & consensus skill for AI agents, published by andyzengmath in the quantum-loop repository on GitHub. Skillspace rates ql-deep-review D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Multi-perspective post-implementation review aggregator for quantum-loop. Invokes 2-7 reviewer agents in parallel based on risk score, applies actionability filter, dedups, aggregates with evidence requirements. Use AFTER the per-story two-stage review gates pass and before merging a whole-feature PR to master. Complements ql-review (per-story) with whole-feature review.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 23
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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- MIT
- 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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