model-committee
model-committee is a Multi-agent review & consensus skill for AI agents, published by scdenney in the open-science-skills repository on GitHub. Skillspace rates model-committee C (78/100) and it passed the safety scan; the rating is based on static analysis only.
Run a deliberative two-model committee between GPT-5.5 and Claude Opus 4.8. Use when the user needs one consequential decision from multiple defensible options and wants the two model families to propose independently, inspect each other's reasoning, revise, cross-rank, and converge under a predeclared rubric. Suitable for architecture, research design and interpretation, manuscript strategy, ambiguous diagnosis, evaluation design, and policy or standards tradeoffs. Not for factual lookups, independent-coder reliability, open-ended brainstorming, routine implementation, or final high-stakes professional judgment.
- Grade
- C
- Quality
- 78 / 100
- Safety
- Passed
- GitHub stars
- 32
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
- 96 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
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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