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...
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, scripts/model_council.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- aiwithabidi
- Source page
- View original listing
- Canonical URL
- Open canonical page
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