Microsoft Foundry
OfficialMicrosoft Foundry empowers developers to build custom AI solutions using pre-built models and tools, accelerating application development and innovation in the cloud.
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 microsoft/azure-skills --skill microsoft-foundry -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
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.
Automated safety checks
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.msundeclaredWhat it found (3 of 4)
- .github/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." - .github/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." - .github/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/azure-skills at 9bb168c343.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 9bb168c343
- Scanned
- 60 files, 7,197 lines
- Copies in repo
- 2 — all of them scanned
About this skill
What it does
The Microsoft Foundry skill enables AI agents to interact with and manage Azure resources, streamlining workflows related to cloud infrastructure, data processing, and application deployment. It provides tools for provisioning virtual machines, managing storage accounts, and automating DevOps tasks within the Microsoft ecosystem.
When to use it
- Automate repetitive cloud management tasks like VM scaling or backup scheduling.
- Integrate AI agents with Azure pipelines for continuous integration and delivery (CI/CD).
- Deploy and manage applications on Azure using preconfigured templates and scripts.
Key capabilities
- Provision and configure Azure virtual machines.
- Manage storage accounts, databases, and networking resources.
- Automate DevOps workflows through CI/CD pipeline integration.
Example prompts
- "Provision a new Azure VM with 4GB RAM and Windows Server OS."
- "Set up an automated backup schedule for my Azure SQL database."
- "Deploy a web application to Azure using the latest CI/CD pipeline configuration."
Tips & gotchas
- Ensure your AI agent has appropriate Azure credentials and permissions before executing commands.
- Some advanced features may require specific Azure subscriptions or resource quotas.