Copilot Usage Metrics
Tracks Copilot usage data (tokens, calls, etc.) to understand adoption and optimize workflows for improved productivity insights.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add copilot-usage-metrics npx -- -y @trustedskills/copilot-usage-metrics
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"copilot-usage-metrics": {
"command": "npx",
"args": [
"-y",
"@trustedskills/copilot-usage-metrics"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The copilot-usage-metrics skill provides insights into how GitHub Copilot is being used, including metrics such as code suggestions accepted, time spent using Copilot, and trends in usage patterns. It helps users understand their interaction with the AI coding assistant.
When to use it
- To evaluate productivity gains from using GitHub Copilot over a specific period.
- When optimizing workflows by identifying peak times or common tasks where Copilot is most utilized.
- For team managers looking to assess how effectively developers are leveraging AI-assisted coding tools.
Key capabilities
- Tracks code suggestion acceptance rates
- Monitors time spent using Copilot
- Provides usage trends and patterns over time
Example prompts
- "Show me my GitHub Copilot usage for the last month."
- "What percentage of code suggestions did I accept this week?"
- "Generate a report on how often I used Copilot during coding sessions."
Tips & gotchas
- Ensure that your GitHub account has enabled data collection for accurate metrics.
- Some detailed usage patterns may require administrative access or specific permissions within an organization.
Tags
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Security Audits
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🏢 Official
Published by the company or team that built the technology.