plan-swarm-review
plan-swarm-review is a Multi-agent review & consensus skill for AI agents, published by AnastasiyaW in the claude-code-config repository on GitHub. Skillspace rates plan-swarm-review D (56/100) and it passed the safety scan; the rating is based on static analysis only.
Iterative plan review using multisampling + focused decomposition. Launches parallel independent agents to find issues that single-pass review misses. 4 escalating rounds: broad -> multisample -> focused -> focused+multisample. Use when: "swarm review", "review plan thoroughly", "multisample review", "deep plan review", "plan swarming", "stress test the plan", or before implementing any plan >500 lines or with >3 interacting components. Also use proactively when a large plan is about to be implemented — catch issues before code, not after. Do NOT use to design a multi-agent harness or Generator-Evaluator architecture from scratch; use harness-design for that. Do NOT use to review already-written code/diffs; use deep-review for that (this reviews plans, not implementations).
- Grade
- D
- Quality
- 56 / 100
- Safety
- Passed
- GitHub stars
- 135
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
- 73 / 100
- Maturity
- Structured: ships references or scripts
- 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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