model-committee-fable

model-committee-fable 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-fable 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, chaired by Fable 5. Same two deliberating members as model-committee; the difference is the chair — Fable 5 aggregates the scores, applies the tie rule, and synthesizes the decision, so a lightweight Claude-family chair handles the tally and synthesis. Use when the user needs one consequential decision from multiple defensible options and wants a Fable-chaired deliberation. 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.

Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it is a near-duplicate variant of another skill. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

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