Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · AI
Model Council Pro
Multi-model consensus system — send a query to 3+ different LLMs via OpenRouter simultaneously, then a judge model evaluates all responses and produces a win...
skill openclawclawhub Free
Multi-model consensus system — send a query to 3+ different LLMs via OpenRouter simultaneously, then a judge model evaluates all responses and produces a win...
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- Tencent SkillHub
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- SKILL.md, scripts/model_council.py
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Trust & source
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- Tencent SkillHub
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- Version
- 1.0.0
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- aiwithabidi
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Documentation
Model Council 🏛️
Get consensus from multiple AI models on any question. Send your query to 3+ different LLMs simultaneously via OpenRouter. A judge model evaluates all responses and produces a winner, reasoning, and synthesized best answer.
When to Use
Important decisions — Don't trust one model's opinion Code review — Get multiple perspectives on architecture choices Research verification — Cross-check facts across models Creative work — Compare writing styles and pick the best Debugging — When one model is stuck, others might see the issue
How It Works
Your Question ├──→ Claude Sonnet 4 ──→ Response A ├──→ GPT-4o ──→ Response B └──→ Gemini 2.0 Flash ──→ Response C │ Judge (Opus) evaluates all │ ├── Winner + Reasoning ├── Synthesized Best Answer └── Cost Breakdown
Quick Start
# Basic usage python3 {baseDir}/scripts/model_council.py "What's the best database for a real-time analytics dashboard?" # Custom models python3 {baseDir}/scripts/model_council.py --models "anthropic/claude-sonnet-4,openai/gpt-4o,google/gemini-2.5-pro" "Your question" # Custom judge python3 {baseDir}/scripts/model_council.py --judge "openai/gpt-4o" "Your question" # JSON output python3 {baseDir}/scripts/model_council.py --json "Your question" # Set max tokens per response python3 {baseDir}/scripts/model_council.py --max-tokens 2000 "Your question"
Configuration
FlagDefaultDescription--modelsclaude-sonnet-4, gpt-4o, gemini-2.0-flashComma-separated model list--judgeanthropic/claude-opus-4-6Judge model--max-tokens1024Max tokens per council member--jsonfalseOutput as JSON--timeout60Timeout per model (seconds)
Environment
Requires OPENROUTER_API_KEY environment variable.
Output Example
═══ MODEL COUNCIL RESULTS ═══ Question: What's the best way to handle auth in a microservices architecture? ── Council Member Responses ── 🤖 anthropic/claude-sonnet-4 ($0.0043) Use a centralized auth service with JWT tokens... 🤖 openai/gpt-4o ($0.0038) Implement OAuth 2.0 with an API gateway... 🤖 google/gemini-2.0-flash-001 ($0.0012) Consider using service mesh with mTLS... ── Judge Verdict (anthropic/claude-opus-4-6, $0.0125) ── 🏆 Winner: anthropic/claude-sonnet-4 Reasoning: Most comprehensive and practical approach... 📝 Synthesized Answer: The best approach combines elements from all three... 💰 Total Cost: $0.0218
Credits
Built by M. Abidi | agxntsix.ai YouTube | GitHub Part of the AgxntSix Skill Suite for OpenClaw agents. 📅 Need help setting up OpenClaw for your business? Book a free consultation
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs1 Scripts
- SKILL.md
- scripts/model_council.py