Azure Env Builder
ListedAutomates Azure environment creation from YAML templates, streamlining deployments and ensuring consistent infrastructure configurations.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add aktsmm/agent-skills --skill azure-env-builder -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
aktsmm
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.
Automated safety checks
This skill failed 3 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, download.docker.com, mcr.microsoft.com, portal.azure.com, schema.management.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
mcr.microsoft.comundeclaredportal.azure.comundeclareddownload.docker.comundeclaredaka.msundeclaredschema.management.azure.comundeclaredWhat it found (3 of 7)
- azure-env-builder/references/avm-modules.md:256contacts mcr.microsoft.com
(Invoke-RestMethod 'https://mcr.microsoft.com/v2/bicep/avm/res/storage/storage-account/tags/list').tags - azure-env-builder/references/cicd-templates/github-actions.yml:176contacts portal.azure.com
url: https://portal.azure.com/#@/resource/subscriptions/${{ vars.AZURE_SUBSCRIPTION_ID }}/resourceGroups/${{ vars.RESOURCE_GROUP }}/overview - azure-env-builder/references/vm-app-scripts.md:375contacts download.docker.com
- curl -fsSL https://download.docker.com/linux/ubuntu/gpg | gpg --dearmor -o /usr/share/keyrings/docker-archive-keyring.gpg
No credential access: failed
Touches credential material in 3 places.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
What it found
- azure-env-builder/references/architecture-patterns.md:406SSH private keys or config
{ path: '/home/azureuser/.ssh/authorized_keys', keyData: sshPublicKey } - azure-env-builder/references/avm-modules.md:218SSH private keys or config
{ path: '/home/azureuser/.ssh/authorized_keys', keyData: sshPublicKey } - azure-env-builder/references/vm-app-scripts.md:572SSH private keys or config
{ path: '/home/azureuser/.ssh/authorized_keys', keyData: sshPublicKey }
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-env-builder/references/vm-app-scripts.md:385remote script piped into a shell
- curl -sL https://aka.ms/InstallAzureCLIDeb | bash - azure-env-builder/references/vm-app-scripts.md:521remote script piped into a shell
- curl -sL https://aka.ms/InstallAzureCLIDeb | 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.
Pinned to a commit: passed
Scanned aktsmm/agent-skills at 15b3494fa4.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 15b3494fa4
- Manifest
- azure-env-builder/SKILL.md
- Scanned
- 18 files, 4,664 lines
About this skill
What it does
This skill enables AI agents to interact with Azure Cloud environments, allowing them to provision resources and manage infrastructure directly. It serves as a foundational tool for automating cloud deployment workflows within the Azure ecosystem.
When to use it
- Automating the creation of new virtual machines or storage accounts without manual console intervention.
- Deploying containerized applications by orchestrating Azure Kubernetes Service (AKS) clusters.
- Managing network configurations such as Virtual Networks and Load Balancers programmatically.
- Streamlining DevOps pipelines that require dynamic resource allocation on Azure.
Key capabilities
- Direct interaction with Azure Cloud APIs to execute infrastructure tasks.
- Automated provisioning of compute, storage, and networking resources.
- Support for complex deployment scenarios requiring multi-resource orchestration.
Example prompts
- "Provision a new Linux virtual machine in the East US region with 4 vCPUs."
- "Create an Azure Storage account named 'mydatastore' with general-purpose v2 tier settings."
- "Deploy a sample web application to an existing Azure Kubernetes Service cluster."
Tips & gotchas
Ensure your AI agent has valid Azure credentials and appropriate RBAC permissions before attempting resource creation. This skill relies on the underlying Azure SDK, so familiarity with basic cloud concepts will help in troubleshooting deployment issues.