A sophisticated cost-management skill that slashes API expenses by dynamically advising on the most cost-effective model for every task.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openclaw-cost-optimizer
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install openclaw-cost-optimizer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The OpenClaw Cost Optimizer is an essential utility for developers looking to maximize their budget without sacrificing performance. This skill works by adding a library of cheap and powerful model aliases to your environment via Openclaw Skills, allowing you to switch between model tiers (Base, Work, and Frontier) based on task complexity. It effectively prevents the 'expensive model tax' by ensuring that simple queries don't burn the same credits as complex architectural refactoring.
Built by Jeff J Hunter, this skill introduces a Cost Advisor that proactively suggests when a cheaper or more powerful model is appropriate. It maintains your existing configuration integrity by only adding aliases, never changing your default settings. Whether you are using OpenAI, Anthropic, or open-source models through OpenRouter, this skill provides the transparency and control needed to run AI agents at scale sustainably.
Setting up the Cost Optimizer within Openclaw Skills requires zero manual configuration of your config files. Follow these steps via the agent interface:
openclaw models status
openclaw models aliases add flashlite openrouter/google/gemini-2.5-flash-lite
openclaw gateway restart
The skill manages a dedicated directory for state persistence and logging within the Openclaw Skills ecosystem. Data is organized as follows:
| Location | Data Type | Purpose |
|---|---|---|
~/.openclaw/cost-tracker.md |
Markdown | Logs date, task description, model used, and calculated savings. |
| Internal Registry | JSON/Table | Contains pricing and reference paths for 29 verified AI models. |
| CLI Aliases | Configuration | Stores shortcuts for quick model switching without full path entry. |
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