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Install in OpenClaw
/install super-router
Description
LangGraph-based intelligent task router that splits work between PRO (heavy reasoning) and FLASH (fast) models using 5-dimension complexity scoring, configur...
Usage Guidance
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.
Capability Tags
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install super-router - After installation, invoke the skill by name or use
/super-router - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.1
Initial release
v0.1.0
Initial release
Metadata
Frequently Asked Questions
What is A LLM router skill for OpenClaw?
LangGraph-based intelligent task router that splits work between PRO (heavy reasoning) and FLASH (fast) models using 5-dimension complexity scoring, configur... It is an AI Agent Skill for Claude Code / OpenClaw, with 55 downloads so far.
How do I install A LLM router skill for OpenClaw?
Run "/install super-router" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is A LLM router skill for OpenClaw free?
Yes, A LLM router skill for OpenClaw is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does A LLM router skill for OpenClaw support?
A LLM router skill for OpenClaw is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created A LLM router skill for OpenClaw?
It is built and maintained by fanyadan (@fanyadan); the current version is v0.1.1.
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