LLM Router for OpenClaw — Review, Trust Score & Install Guide

Short answer: LLM Router is a verified OpenClaw skill for ai & llms. Trust Score 98/100 based on source transparency, permission scope, install safety, update recency, community signal, and documentation quality.

Trust Score: 98/100

Security tier: Verified
Risk level: Low
Last reviewed: 2026-02-20
Reviewer: OpenClaw Skills Hub editorial team
Version: 3.1.0
Author: openclaw-core
Install command: npx clawhub@latest install llm-router

How we calculate Trust Scores →

What LLM Router does

LLM Router intelligently routes your AI requests to the most appropriate model based on the task at hand. It analyzes prompt complexity, your cost preferences, and latency requirements to choose between models like GPT-5, Claude 4, Gemini 2.5, or local models. Save up to 70% on API costs while maintaining quality by using cheaper models for simple tasks.

How to install LLM Router

Install the OpenClaw CLI: npm install -g clawhub@latest
Install this skill: npx clawhub@latest install llm-router
Verify the install: openclaw skills list

Security review

This skill is currently classified as Verified with a low risk profile. Our reviewers inspected the SKILL.md manifest, dependency tree, declared permissions, network calls, and shell commands before publishing this score. See our editorial policy and Trust Score methodology for the full rubric.

Best for

Reduce AI API costs by routing simple tasks to cheaper models
Ensure low-latency responses for real-time features
Automatically fall back to alternative models during outages
A/B test different models for quality comparison

Avoid if

You need a fully air-gapped install with no network calls.
Your environment forbids skills with third-party dependencies.
You require a formally audited SBOM that this version does not yet provide.

Alternatives & related skills

GPT Prompt Chainer — Chain multiple GPT prompts together with context passing for complex multi-step AI workflows.
Prompt Optimizer — Automatically optimize and compress prompts for better results and lower token costs.
Token Counter — Accurately count tokens for any model, estimate costs, and track usage across all your AI workflows.

Frequently asked questions

What does LLM Router do?

It analyzes each prompt and routes it to the most cost-effective and capable model based on rules you define.

Which models does it support?

OpenAI, Anthropic, Google, Mistral, Cohere, and any OpenAI-compatible endpoint including Ollama.

How do I install LLM Router?

Run `npx clawhub@latest install llm-router` from any directory with Claude Code or OpenClaw installed. The skill is added to your local SKILL.md registry and is available to your agent immediately — no restart required.