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Microsoft Foundry Skill

Official
microsoft·vlatest·cloud

The Microsoft Foundry Skill streamlines content creation workflows by automating asset generation and management within your cloud environment for enhanced productivity.

Repositoryskills.sh

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 microsoft/github-copilot-for-azure --skill microsoft-foundry --full-depth -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

microsoft

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 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.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: aka.ms.

    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.

    Hosts contacted

    aka.msundeclared

    What it found (3 of 4)

    • plugins/azure-skills/skills/microsoft-foundry/foundry-agent/create/scripts/verify-environment.ps1:97contacts aka.ms
      Note-Action "Azure Developer CLI (azd) is not installed. Install it from https://aka.ms/azd-install, then re-run."
    • plugins/azure-skills/skills/microsoft-foundry/foundry-agent/create/scripts/verify-environment.ps1:109contacts aka.ms
      Note-Action "Azure CLI (az) is not installed. Install it from https://aka.ms/installazurecli, then re-run."
    • plugins/azure-skills/skills/microsoft-foundry/foundry-agent/create/scripts/verify-environment.sh:36contacts aka.ms
      note_action "Azure Developer CLI (azd) is not installed. Install it from https://aka.ms/azd-install, then re-run."

  • 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 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 microsoft/github-copilot-for-azure at f2526ae581.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
f2526ae581
Manifest
plugins/azure-skills/skills/microsoft-foundry/SKILL.md
Scanned
60 files, 7,195 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 Microsoft Foundry skill enables AI agents to interact with and leverage Microsoft's cloud infrastructure, including Azure services. It provides tools for deploying, managing, and optimizing applications within the Microsoft ecosystem.

When to use it

  • Automating deployment workflows on Azure using AI-driven commands.
  • Managing resources like virtual machines or databases through natural language prompts.
  • Integrating AI agents with Azure DevOps pipelines for continuous integration and delivery.

Key capabilities

  • Integration with Azure services such as Virtual Machines, Storage, and Networking.
  • Support for deploying and managing cloud applications using AI-powered automation.
  • Compatibility with Microsoft's development tools and workflows.

Example prompts

  • "Deploy a new virtual machine on Azure with 4 GB RAM."
  • "Scale up the storage capacity of my Azure SQL database by 10 GB."
  • "Monitor resource usage across all Azure instances in real time."

Tips & gotchas

  • Ensure your AI agent has proper authentication credentials and permissions to access Azure resources.
  • Some advanced features may require specific Azure roles or subscriptions for full functionality.