How do I install the Model Council skill?

Run npx skillmds@latest add johnalbertini14-glitch/model-council in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Model Council safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: executes scripts, makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Model Council?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Model Council free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under MIT.

Who published Model Council?

johnalbertini14-glitch (@johnalbertini14-glitch) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Model Council by johnalbertini14-glitch

Name: Model Council
Rating: 4.2 (5 reviews)
Author: johnalbertini14-glitch

Model Council

Multi-model consensus system — send a query to 3+ different LLMs via OpenRouter simultaneously, then a judge model evaluates all responses and produces a winner, reasoning, and synthesized best answer. Like having a board of AI advisors. Use for important decisions, code review, research verification.

File contents

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

Flag	Default	Description
`--models`	claude-sonnet-4, gpt-4o, gemini-2.0-flash	Comma-separated model list
`--judge`	anthropic/claude-opus-4-6	Judge model
`--max-tokens`	1024	Max tokens per council member
`--json`	false	Output as JSON
`--timeout`	60	Timeout 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

---name: model-councildescription: Multi-model consensus system — send a query to 3+ different LLMs via OpenRouter simultaneously, then a judge model evaluates all responses and produces a winner, reasoning, and synthesized best answer. Like having a board of AI advisors. Use for important decisions, code review, research verification.license: MIT--- # 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 ```bash # 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 | Flag | Default | Description | |------|---------|-------------| | `--models` | claude-sonnet-4, gpt-4o, gemini-2.0-flash | Comma-separated model list | | `--judge` | anthropic/claude-opus-4-6 | Judge model | | `--max-tokens` | 1024 | Max tokens per council member | | `--json` | false | Output as JSON | | `--timeout` | 60 | Timeout 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](https://www.linkedin.com/in/mohammad-ali-abidi) | [agxntsix.ai](https://www.agxntsix.ai) [YouTube](https://youtube.com/@aiwithabidi) | [GitHub](https://github.com/aiwithabidi) Part of the **AgxntSix Skill Suite** for OpenClaw agents. 📅 **Need help setting up OpenClaw for your business?** [Book a free consultation](https://cal.com/agxntsix/abidi-openclaw)

Frequently asked questions