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Deploying To Azure

Checked
microsoft-foundry·vlatest·cloud·MIT

Automates Azure resource deployment from code, streamlining infrastructure provisioning and reducing manual errors.

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 microsoft-foundry/foundry-agent-webapp --skill deploying-to-azure -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-foundry

Taken from the source listing. We haven't verified who controls this account.

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 microsoft-foundry/foundry-agent-webapp at f6cb362901.

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

Commit
f6cb362901
Manifest
.github/skills/deploying-to-azure/SKILL.md
Scanned
1 file, 212 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

This skill automates the process of deploying applications to Azure. It handles tasks such as configuring deployment pipelines, managing resources (like App Services and databases), and triggering deployments based on code changes or other events. The skill streamlines application releases, reducing manual effort and potential errors.

When to use it

  • You need to deploy a new version of your web application to Azure.
  • You want to automate the deployment process for continuous integration/continuous delivery (CI/CD).
  • You are managing multiple environments (e.g., development, staging, production) and require consistent deployments across them.
  • You're looking to reduce manual steps involved in releasing updates to your Azure-hosted applications.

Key capabilities

  • Automated deployment pipelines
  • Resource management (App Services, databases)
  • Triggered deployments based on code changes
  • Environment configuration

Example prompts

  • "Deploy my application from the 'main' branch to the staging environment."
  • "Create a new App Service in Azure for my project."
  • "Run the deployment pipeline and update the production environment."

Tips & gotchas

This skill requires appropriate permissions within your Azure subscription. Ensure the AI agent has access to create and manage resources in the target environments.