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Azure Storage Services

Official
microsoft·vlatest·cloud

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

Repositoryskills.sh

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/github-copilot-for-azure --skill azure-storage --full-depth -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/github-copilot-for-azure at f2526ae581.

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

Commit
f2526ae581
Manifest
plugins/azure-skills/skills/azure-storage/SKILL.md
Scanned
15 files, 626 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

The Azure Storage skill enables AI agents to interact with Microsoft Azure's storage services, including Blob Storage, File Storage, Queue Storage, and Table Storage. It allows for operations such as uploading, downloading, managing, and securing data within Azure storage accounts.

When to use it

  • To automate the backup of application data into Azure Blob Storage.
  • For handling large file transfers between on-premises systems and cloud storage.
  • When building scalable applications that require persistent data storage in the cloud.
  • To manage logs, messages, or structured data using Queue Storage or Table Storage.

Key capabilities

  • Upload and download files from Blob Storage.
  • Manage access control and security policies for storage accounts.
  • Create and manage file shares in Azure File Storage.
  • Interact with Queue Storage to send and receive messages.
  • Query and store structured data using Table Storage.

Example prompts

  • "Upload the latest log file to my Azure Blob Storage container."
  • "List all files in the 'data' directory of my Azure File Share."
  • "Create a new queue in Azure Queue Storage named 'user-requests'."

Tips & gotchas

  • Ensure your AI agent has proper authentication credentials (e.g., SAS tokens or managed identities) to access Azure resources.
  • Be mindful of storage account quotas and data transfer costs when handling large volumes of data.