A monitoring utility that tracks real-time API quotas, remaining balances, and refresh schedules for high-performance AI models.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ag-model-usage
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 ag-model-usage using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The model-usage skill is a specialized utility designed for developers who need precise control over their AI consumption. By leveraging the CodexBar CLI and internal Google APIs, this skill provides real-time visibility into the usage metrics of models like Gemini and Claude. It is a vital part of the Openclaw Skills ecosystem, allowing users to avoid unexpected service interruptions by monitoring their remaining quotas and costs directly through their agent interface.
This skill acts as a bridge between the local development environment and cloud-based AI providers. It simulates official IDE client behaviors to fetch the most accurate account data, ensuring that users always have the latest information regarding their token limits and subscription boundaries.
To utilize this skill within the Openclaw Skills framework, ensure you have python3 installed and an active Google Cloud Code Assist account.
# Check for python3 dependency
python3 --version
# Ensure your authentication profiles are configured
# This skill reads from the standard auth-profiles.json location
The skill organizes usage data into a structured format for clear analysis:
| Attribute | Description |
|---|---|
| Model ID | The identifier for the specific AI model (e.g., Gemini-1.5-Pro) |
| Percentage | The remaining quota available expressed as a percentage |
| Refresh Window | The localized timestamp indicating when the next quota reset occurs |
| Auth Profile | The specific OAuth identity used for the API request |
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