Copilot Usage Metrics

Name: Copilot Usage Metrics
Author: github

Official

github·vlatest·ai-ml·MIT

Tracks Copilot usage data (tokens, calls, etc.) to understand adoption and optimize workflows for improved productivity insights.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Run this in your project

terminal

$ npx skills add github/awesome-copilot --skill copilot-usage-metrics -a claude-code

Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

github

Matched to the vendor's own GitHub organisation.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned 28 Sept 2026

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

Declares what it does: failed
No SKILL.md was found in the skill's directory.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned github/awesome-copilot at 6c4d33b9cf.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit: 6c4d33b9cf
Manifest: skills/copilot-usage-metrics/SKILL.md
Scanned: 0 files

This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.

What each check looks for →

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.