llm-council
llm-council is a Multi-agent review & consensus skill for AI agents, published by happycapy-ai in the Happycapy-skills repository on GitHub. Skillspace rates llm-council C (72/100) and it passed the safety scan; the rating is based on static analysis only.
Multi-model LLM Council with live dashboard. Query multiple AI models simultaneously, see responses side-by-side in a swarm-style dashboard, synthesize consensus, and run anonymous model-to-model voting. Use when the user asks to start the LLM council, compare models, query multiple models, convene council, ask all models, do model comparison, run multi-model queries, or launch the council dashboard. Supports Claude Sonnet 4.5, Claude Opus 4.5, GPT-4o, GPT-5.1, Gemini 2.5 Flash, and Gemini 2.5 Pro via AI Gateway.
- Grade
- C
- Quality
- 72 / 100
- Safety
- Passed
- GitHub stars
- 132
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
- 84 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 1 other repositories, in 1 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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