review-cluster
review-cluster is a Multi-agent review & consensus skill for AI agents, published by flonat in the flonat-research repository on GitHub. Skillspace rates review-cluster D (61/100) and it passed the safety scan; the rating is based on static analysis only.
Use when you need a mid-draft adversarial review of a paper — runs paper-critic + domain-reviewer + claim-verify + blindspot in parallel, then auto-synthesises into a prioritised revision plan. Distinct from pre-submission-report (final-gate kitchen sink, 13 sub-agents) — this is the active-drafting feedback loop. Triggers: 'review my draft', 'adversarial review', 'cluster review', 'mid-draft critique', 'feedback before pre-submission'.
- Grade
- D
- Quality
- 61 / 100
- Safety
- Passed
- GitHub stars
- 118
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
- 94 / 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
- 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
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