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Azure Storage

Official
microsoft·vlatest·cloud·MIT

Official microsoft skill covering Azure, storage for deploying and managing cloud infrastructure.

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/azure-skills --skill azure-storage -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 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/azure-skills at 9bb168c343.

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

Commit
9bb168c343
Manifest
skills/azure-storage/SKILL.md
Scanned
28 files, 1,238 lines
Copies in repo
2 — all of them scanned
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 interact with Microsoft Azure Storage services. It provides capabilities for managing blobs, queues, tables, and files within an Azure storage account. Agents can perform actions like uploading data, downloading data, listing containers, and creating/deleting storage resources.

When to use it

  • Data Archiving: Automatically archive old log files or backups to Azure Blob Storage.
  • Media Processing: Upload processed images or videos to Azure Blob Storage for distribution.
  • Queue Management: Manage tasks in an Azure Queue, allowing agents to trigger workflows based on queue messages.
  • File Sharing: Facilitate file sharing and collaboration by storing files in Azure Files.

Key capabilities

  • Blob storage management (upload, download, list)
  • Queue management (send, receive, delete messages)
  • Table storage interaction (create, read, update, delete entities)
  • File storage access (create, upload, download files)

Example prompts

  • "Upload this image to the 'images' container in my Azure Blob Storage."
  • "List all the queues in my Azure Storage account."
  • "Send a message to the 'task_queue' with the content: 'Process file.txt'."
  • “Create a table entity named ‘user’ with properties name and email.”

Tips & gotchas

  • Requires appropriate Azure credentials configured for the AI agent.
  • Be mindful of storage account access tiers (Hot, Cool, Archive) when designing workflows to optimize costs.