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Azure Ai Agent Deploy

Listed
johnmaeda·vlatest·cloud·MIT

Helps with Azure, AI, deployment as part of deploying and managing cloud infrastructure workflows.

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 johnmaeda/azure-ai-agent-deploy-ez --skill azure-ai-agent-deploy -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

johnmaeda

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 failed 2 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 5 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: aka.ms, docs.microsoft.com, learn.microsoft.com, myresource.services.ai.azure.com, resource.services.ai.azure.com.

    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.msundeclaredresource.services.ai.azure.comundeclaredlearn.microsoft.comundeclareddocs.microsoft.comundeclaredmyresource.services.ai.azure.comundeclared

    What it found (3 of 8)

    • azure-ai-agent-deploy/README.md:72contacts aka.ms
      curl -sL https://aka.ms/InstallAzureCLIDeb | sudo bash
    • azure-ai-agent-deploy/scripts/agents/azure_discovery.py:57contacts aka.ms
      raise RuntimeError("Azure CLI (az) not found. Install from: https://aka.ms/installazurecli")
    • azure-ai-agent-deploy/scripts/create-agent.py:159contacts aka.ms
      print("   Linux:   curl -sL https://aka.ms/InstallAzureCLIDeb | sudo bash")

  • No pipe-to-shell installers: failed

    Runs code fetched at install time in 2 places.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

    What it found

    • azure-ai-agent-deploy/README.md:72remote script piped into a shell
      curl -sL https://aka.ms/InstallAzureCLIDeb | sudo bash
    • azure-ai-agent-deploy/scripts/create-agent.py:159remote script piped into a shell
      print("   Linux:   curl -sL https://aka.ms/InstallAzureCLIDeb | sudo bash")

  • 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.

  • Pinned to a commit: passed

    Scanned johnmaeda/azure-ai-agent-deploy-ez at 1f8a28485c.

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

Commit
1f8a28485c
Manifest
azure-ai-agent-deploy/SKILL.md
Scanned
19 files, 3,305 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 allows AI agents to deploy Azure AI Agents. It automates the process of creating and configuring an agent within your Azure environment, handling tasks like resource provisioning and initial setup. This simplifies the deployment workflow and reduces manual configuration required for running AI agents.

When to use it

  • Rapid prototyping: Quickly spin up a new Azure AI Agent instance for testing and development purposes.
  • Automated deployments: Integrate agent deployment into your CI/CD pipelines for consistent and repeatable releases.
  • Scaling infrastructure: Easily provision additional agent instances to handle increased workloads or regional requirements.
  • Standardized environments: Ensure all agents are deployed with a consistent configuration, reducing operational overhead.

Key capabilities

  • Automated Azure AI Agent creation
  • Resource provisioning within Azure
  • Initial agent configuration
  • Deployment automation

Example prompts

  • "Deploy an Azure AI Agent named 'CustomerSupportBot' in the 'West US' region."
  • "Create a new Azure AI Agent with a skills manifest from this file path: /path/to/skills.json"
  • "Provision an agent instance for testing purposes, using the default settings."

Tips & gotchas

  • Requires appropriate Azure credentials and permissions to create resources.
  • The skill may require specific versions of Azure CLI tools or SDKs to function correctly.