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Model Council Pro
作者
aiwithabidi
· GitHub ↗
· v1.0.0
675
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0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install model-council-pro
功能描述
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...
安全使用建议
This skill appears to do what it says: it uses your OPENROUTER_API_KEY to call OpenRouter and aggregate multiple model outputs. Before installing, consider: (1) Cost and billing — calls to multiple models (and a judge model) can incur non-trivial charges; monitor usage and set quotas. (2) Data exposure — prompts and model outputs are sent to OpenRouter and the upstream model providers and may be logged; avoid sending secrets or sensitive data. (3) Verify the OPENROUTER_API_KEY you provide has appropriate scope/limits and rotate keys if you later remove the skill. (4) If you need stricter privacy, confirm OpenRouter's logging/retention policy or run a trusted in-house routing endpoint. Overall the skill is coherent and consistent with its purpose; proceed if you accept the cost and data-exposure tradeoffs.
功能分析
Type: OpenClaw Skill
Name: model-council-pro
Version: 1.0.0
The OpenClaw AgentSkills bundle for 'model-council-pro' is benign. The `SKILL.md` file clearly describes the skill's purpose and usage, providing standard command examples without any prompt injection attempts against the OpenClaw agent. The `scripts/model_council.py` script correctly retrieves the `OPENROUTER_API_KEY` from environment variables and uses `urllib.request` to interact with the OpenRouter API. It processes user input via `argparse` and constructs JSON payloads for LLM interactions, avoiding common shell or command injection vulnerabilities. There is no evidence of data exfiltration, persistence mechanisms, or other malicious activities.
能力评估
Purpose & Capability
Name/description claim: send queries to multiple LLMs via OpenRouter and have a judge model pick/synthesize results. Declared requirement: OPENROUTER_API_KEY. The Python script calls openrouter.ai endpoints and implements parallel calls + a judge step. All required resources align with the stated purpose.
Instruction Scope
SKILL.md and the script only instruct the agent to call OpenRouter endpoints, aggregate responses, and have a judge model evaluate them. The code reads only the declared OPENROUTER_API_KEY env var, performs network calls to openrouter.ai, and prints or emits JSON results. It does not read arbitrary local files, other env vars, or reach out to unexpected third-party endpoints.
Install Mechanism
No install spec; this is an instruction-only skill with an included Python script. No external archives/downloads or package installs are performed by the skill itself, minimizing install-time risk.
Credentials
Only OPENROUTER_API_KEY is required and used. This is proportional: the key is needed to route queries to multiple models and will be used in Authorization headers. Note: the key grants the skill the ability to make API calls (and incur costs) on the user's OpenRouter account and may expose prompts/responses to OpenRouter's logs—this is expected for the stated purpose but is an important operational/privacy consideration.
Persistence & Privilege
always:false and default invocation settings are used. The skill does not persist or modify other skills or system configuration; it only performs runtime network calls. No elevated or persistent privileges are requested.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install model-council-pro - 安装完成后，直接呼叫该 Skill 的名称或使用
/model-council-pro触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release — introduce Model Council for consensus queries across multiple LLMs.
- Query multiple AI models in parallel via OpenRouter; responses judged for best answer and reasoning.
- Supports custom model selection, judge model, output format (plain or JSON), and token limits.
- Designed for important decisions, code review, research verification, creative comparison, and debugging.
- Requires an OpenRouter API key (OPENROUTER_API_KEY).
- Includes cost breakdown and synthesized answers in outputs.
元数据
常见问题
Model Council Pro 是什么？
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... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 675 次。
如何安装 Model Council Pro？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install model-council-pro」即可一键安装，无需额外配置。
Model Council Pro 是免费的吗？
是的，Model Council Pro 完全免费（开源免费），可自由下载、安装和使用。
Model Council Pro 支持哪些平台？
Model Council Pro 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Model Council Pro？
由 aiwithabidi（@aiwithabidi）开发并维护，当前版本 v1.0.0。
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