A cross-platform status bar application that monitors Claude Code usage and session costs in real-time. Ideal for developers tracking API spending.
git clone https://github.com/sivchari/ccowl.gitCCOwl is a cross-platform status bar application that displays Claude Code session costs and usage metrics in real-time. It automatically refreshes every 5 seconds and shows detailed information including burn rates, token usage, and projected final costs when clicked. The app supports macOS and Ubuntu/Linux, integrating with the Claude Code CLI to provide developers with immediate visibility into their API spending. Status indicators display burn rate severity (low, moderate, high) to help developers monitor usage patterns. Setup requires the Claude Code CLI and ccusage command to be installed and configured.
Install Claude Code CLI and ensure the ccusage command is available. Download the latest CCOwl release for your platform (macOS or Ubuntu/Linux) or build from source using Go. Run the application and the status bar icon will appear showing current session cost. Click the icon to view detailed usage statistics, token counts, and burn rate indicators.
Monitor Claude Code API costs during active coding sessions
Track token burn rates and spending patterns in real-time
View session timing and projected final costs at a glance
Identify high-usage periods with status bar alerts
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/sivchari/ccowlCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Create a ccowl dashboard for [COMPANY] that tracks Claude Code usage across [NUMBER] developers. Include metrics like monthly API calls, cost per developer, and code execution time. Format the output as a real-time status bar application.
# ccowl Dashboard for TechInnovate Solutions ## Current Usage Metrics - **Total API Calls (Last 30 Days):** 12,456 - **Average Cost per Developer:** $42.78 - **Average Execution Time:** 1.2 seconds ## Developer Breakdown 1. **Alex M.** - 3,210 API calls, $112.45 2. **Jamie L.** - 2,876 API calls, $98.32 3. **Taylor K.** - 2,150 API calls, $74.50 ## Cost Analysis - **Total Monthly Cost:** $325.27 - **Projected Annual Cost:** $3,903.24 ## Recommendations - Consider optimizing long-running code executions to reduce costs. - Review usage patterns for developers with high API call volumes.
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