npx claudepluginhub sherifkozman/the-llm-councilMulti-LLM Council for adversarial debate, cross-validation, and structured decision-making
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Claude Code marketplace entries for the plugin-safe Antigravity Awesome Skills library and its compatible editorial bundles.
Production-ready workflow orchestration with 79 focused plugins, 184 specialized agents, and 150 skills - optimized for granular installation and minimal token usage
$ council run drafter --mode arch "Design a mass hallucination prevention system"
╔══════════════════════════════════════════════════════════╗
║ ⚖️ THE LLM COUNCIL CONVENES ⚖️ ║
╚══════════════════════════════════════════════════════════╝
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ ┌───────────┐ │ │ ┌───────────┐ │ │ ┌───────────┐ │
│ │ ╭───────╮ │ │ │ │ ╭───────╮ │ │ │ │ ╭───────╮ │ │
│ │ │GPT5.4│ │ │ │ │ │ CLAUDE│ │ │ │ │ │GEMINI │ │ │
│ │ ╰───────╯ │ │ │ │ ╰───────╯ │ │ │ │ ╰───────╯ │ │
│ │ ◉ ◉ │ │ │ │ ◉ ◉ │ │ │ │ ◉ ◉ │ │
│ │ ⌣ │ │ │ │ ▽ │ │ │ │ ○ │ │
│ └───────────┘ │ │ └───────────┘ │ │ └───────────┘ │
│ JUDGE #1 │ │ JUDGE #2 │ │ JUDGE #3 │
└────────┬────────┘ └────────┬────────┘ └────────┬────────┘
│ │ │
│ "I propose we use │ "Actually, I must │ "Interesting, but
│ a vector database..." │ respectfully disagree" │ what about...?"
│ │ │
└────────────────────────┼────────────────────────┘
▼
┌──────────────────────────────┐
│ 🔥 ADVERSARIAL DEBATE 🔥 │
│ │
│ GPT5.4: "Your approach has │
│ a cold start issue" │
│ │
│ CLAUDE: "Fair, but yours │
│ doesn't scale" │
│ │
│ GEMINI: "Both valid. What │
│ if we combine..." │
└──────────────┬───────────────┘
▼
┌──────────────────────────────┐
│ ✅ VERDICT REACHED ✅ │
│ │
│ Synthesized best ideas │
│ Schema-validated output │
│ Confidence: 94% │
└──────────────────────────────┘
[Council] Task completed in 45.2s | 3 judges | 2 debate rounds | Cost: $0.12
A multi-model orchestration package that runs adversarial council workflows across OpenAI, Anthropic, Google, Vertex, OpenRouter, and local CLIs.
This is not a Claude-only framework. Claude Code is one supported client and one supported provider path among several.
This release also includes a mode-aware execution path with runtime profiles, routed handoff, capability planning, and deterministic eval tooling. Those capabilities materially extend the package runtime and make the public surface more explicit for planning, review, security, and research workflows.
Single-model outputs have blind spots. By running multiple models in parallel and having them critique each other, the council: