ClawCost is a comprehensive financial monitoring tool designed to track API expenditures and optimize model usage for Openclaw Skills.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install clawcost-basic
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 clawcost-basic using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
ClawCost serves as a financial oversight layer for AI developers, providing real-time tracking of every dollar spent during agent operations. By integrating directly into the workflow of Openclaw Skills, it monitors API calls across major providers like Anthropic, OpenAI, Google Gemini, and Mistral, ensuring complete transparency into your operational costs.
Beyond simple tracking, it acts as an intelligent financial advisor for your AI infrastructure. It proactively identifies spending patterns and provides actionable insights to reduce overhead, making it an indispensable utility for anyone running production-grade Openclaw Skills who needs to maintain strict budget control without sacrificing performance.
To get started with cost tracking for your Openclaw Skills, follow these steps:
# 1. Open dashboard.py and input your Telegram Bot Token and Chat ID
# 2. Configure your agent with a monthly budget limit
set budget $20
# 3. Verify the installation by requesting a status report
show my costs
ClawCost organizes financial data and metadata into a structured format for easy analysis within Openclaw Skills:
| Attribute | Description |
|---|---|
| Provider Metrics | Spend data segmented by Anthropic, OpenAI, Gemini, and Mistral. |
| Budget Thresholds | User-defined caps at which the system triggers alert hooks. |
| Optimization Logs | Historical records of recommended model swaps and projected cost savings. |
| Usage Breakdowns | Granular view of daily vs. monthly API consumption patterns. |
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