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Appinsights Instrumentation

Official
github·vlatest·cloud·MIT

Automatically instruments GitHub Apps with Application Insights telemetry for enhanced performance monitoring and debugging.

Repository

Install on your platform

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

  1. 1

    Run this in your project

    terminal
    $ npx skills add github/awesome-copilot --skill appinsights-instrumentation -a claude-code

  2. 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

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    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/appinsights-instrumentation/SKILL.md
Scanned
7 files, 172 lines
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 github-appinsights-instrumentation skill enables AI agents to integrate and utilize Application Insights for monitoring, logging, and analyzing application performance within GitHub workflows. It provides tools to track events, exceptions, and custom metrics in real time, helping developers identify issues quickly and optimize their applications.

When to use it

  • To monitor the performance of a deployed application hosted on GitHub Actions or integrated with Azure.
  • When debugging complex workflows by capturing detailed logs and telemetry data.
  • For setting up alerts based on specific performance thresholds or error rates in CI/CD pipelines.
  • To gather insights into user behavior within an app that is connected to GitHub repositories.

Key capabilities

  • Real-time monitoring of application events and exceptions
  • Integration with Azure Application Insights for centralized logging
  • Custom metric tracking tailored to GitHub workflows
  • Support for telemetry data collection during CI/CD processes

Example prompts

  • "Instrument my GitHub Actions workflow with Application Insights."
  • "Set up custom metrics for user activity in my app connected to this repository."
  • "Generate a report on the most frequent exceptions from the last deployment."

Tips & gotchas

  • Ensure your application is properly configured with Azure Application Insights before using this skill.
  • Be mindful of data volume limits and costs associated with extensive telemetry collection.