# Send Model Council Pro to your agent
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
## Fast path
- 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.
## Suggested prompts
### New install

```text
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

```text
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.
```
## Machine-readable fields
```json
{
  "schemaVersion": "1.0",
  "item": {
    "slug": "model-council-pro",
    "name": "Model Council Pro",
    "source": "tencent",
    "type": "skill",
    "category": "AI 智能",
    "sourceUrl": "https://clawhub.ai/aiwithabidi/model-council-pro",
    "canonicalUrl": "https://clawhub.ai/aiwithabidi/model-council-pro",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/model-council-pro",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=model-council-pro",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "SKILL.md",
      "scripts/model_council.py"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "slug": "model-council-pro",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-05-02T11:00:55.060Z",
      "expiresAt": "2026-05-09T11:00:55.060Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=model-council-pro",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=model-council-pro",
        "contentDisposition": "attachment; filename=\"model-council-pro-1.0.0.zip\"",
        "redirectLocation": null,
        "bodySnippet": null,
        "slug": "model-council-pro"
      },
      "scope": "item",
      "summary": "Item download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this item.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/model-council-pro"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    }
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/model-council-pro",
    "downloadUrl": "https://openagent3.xyz/downloads/model-council-pro",
    "agentUrl": "https://openagent3.xyz/skills/model-council-pro/agent",
    "manifestUrl": "https://openagent3.xyz/skills/model-council-pro/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/model-council-pro/agent.md"
  }
}
```
## 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
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: aiwithabidi
- Version: 1.0.0
## Source health
- Status: healthy
- Item download looks usable.
- Yavira can redirect you to the upstream package for this item.
- Health scope: item
- Reason: direct_download_ok
- Checked at: 2026-05-02T11:00:55.060Z
- Expires at: 2026-05-09T11:00:55.060Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/model-council-pro)
- [Send to Agent page](https://openagent3.xyz/skills/model-council-pro/agent)
- [JSON manifest](https://openagent3.xyz/skills/model-council-pro/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/model-council-pro/agent.md)
- [Download page](https://openagent3.xyz/downloads/model-council-pro)