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在 OpenClaw 中安装
/install super-router
功能描述
LangGraph-based intelligent task router that splits work between PRO (heavy reasoning) and FLASH (fast) models using 5-dimension complexity scoring, configur...
安全使用建议
This skill appears coherent with its stated purpose, but it executes local Python code and can invoke local model servers or the Gemini CLI. Before installing or running: 1) inspect scripts/router.py yourself (or review with a trusted reviewer) because the repository contains executable code; 2) prefer local Ollama (default) for sensitive data — do not set ROUTER_ALLOW_REMOTE_OLLAMA unless you trust the remote endpoint; 3) only provide GEMINI_API_KEY or Google credentials if you intend to use Gemini CLI and understand that provider outputs may leave your machine; 4) ensure the gemini executable you point to is legitimate (the code enforces it be named `gemini`); and 5) run the tool in an isolated environment (container or VM) if you are unsure about model binaries or network interactions.
能力标签
能力评估
Purpose & Capability
Name/description (model routing + task decomposition) align with the included code and instructions: the repository contains a LangGraph-based router, tests, and README that document using local Ollama or Gemini CLI. Required runtime pieces (python, langgraph, local Ollama or gemini CLI) are appropriate for the declared functionality. There are no unexpected cloud or platform credentials demanded by the skill.
Instruction Scope
SKILL.md and README instruct the agent/user to run the included Python script and to install langgraph and optionally pull models from Ollama or use Gemini CLI. The runtime instructions reference environment variables (ROUTER_*) and local paths (~/.openclaw/skills/...), but they do not instruct arbitrary file-system scanning, reading unrelated secrets, or exfiltration. Note: examples include hard-coded exec paths and recommend pulling large models and network access for Gemini CLI — these are operational concerns rather than misaligned behavior.
Install Mechanism
There is no formal install spec in the registry (instruction-only), but the package contains runnable code (scripts/router.py). The documented install steps are manual (pip install langgraph; run/serve Ollama; pull models). This is reasonable for a local Python tool, but because the code will run locally when invoked, users should inspect the script before executing it. No high-risk remote download/install URLs or archive extraction steps are present in the skill metadata.
Credentials
The skill does not require any credentials in the registry metadata. The implementation optionally respects ROUTER_* env vars (model names, endpoints, debug flags) and allows GEMINI_API_KEY / Google application creds in a tightly controlled allowlist for Gemini CLI calls. It does not request unrelated secrets (AWS keys, SSH keys, etc.). The code intentionally refuses non-local Ollama URLs unless explicitly enabled (ROUTER_ALLOW_REMOTE_OLLAMA=1), which is a proportional safety control.
Persistence & Privilege
The skill does not declare always:true and has no install hooks or background persistence in the registry metadata. It runs on demand via the included script. The default ability for the agent to invoke skills autonomously is unchanged (disable-model-invocation is false), which is normal — no extra persistent privileges are requested by the skill itself.
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 super-router - 安装完成后，直接呼叫该 Skill 的名称或使用
/super-router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
v0.1.1
Initial release
v0.1.0
Initial release
元数据
常见问题
A LLM router skill for OpenClaw 是什么？
LangGraph-based intelligent task router that splits work between PRO (heavy reasoning) and FLASH (fast) models using 5-dimension complexity scoring, configur... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 55 次。
如何安装 A LLM router skill for OpenClaw？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install super-router」即可一键安装，无需额外配置。
A LLM router skill for OpenClaw 是免费的吗？
是的，A LLM router skill for OpenClaw 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
A LLM router skill for OpenClaw 支持哪些平台？
A LLM router skill for OpenClaw 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 A LLM router skill for OpenClaw？
由 fanyadan（@fanyadan）开发并维护，当前版本 v0.1.1。
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