Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
Routes AI model selection between cheap, default, and pro tiers based on task complexity. For heavy tasks, it spawns sub-agents running a stronger model and can compress large context into a brief first to avoid passing unnecessary tokens to an expensive model.
Avoids paying for a powerful model on simple requests while still accessing one when the task actually requires it, without manually switching models.
When to use it
- Keeping daily chat interactions on a cheap model to reduce API spend
- Automatically escalating complex code analysis to a pro model
- Compressing a large document before routing it to an expensive model
- Running multi-step research through a sub-agent without inflating main context
- Forcing a specific model tier for a one-off request
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: 'Router: analyze this 50-page spec for security gaps'
- 1Classifies task as high complexity using router.py rules
- 2Compresses the spec into a concise brief to reduce token count
- 3Spawns a sub-agent configured with the pro model (openai/gpt-4.1)
- 4Passes the brief and task instructions to the sub-agent
- 5Returns the sub-agent's findings to the main conversation
Security gap report from the pro model, with the main agent staying on the cheap tier throughout
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.