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Azure Storage Blob Py

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/skills --skill azure-storage-blob-py --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/skills at b4e3de3689.

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

Commit
b4e3de3689
Manifest
.github/plugins/azure-sdk-python/skills/azure-storage-blob-py/SKILL.md
Scanned
3 files, 318 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 interact with Microsoft Azure Blob storage using Python. Specifically, it provides functionality to upload files, download files, list containers and blobs, and perform other common operations related to Azure Blob storage. It leverages the azure-storage-blob Python library for these interactions.

When to use it

  • Data Archiving: Automate backing up data from a local machine or application to Azure Blob storage for long-term preservation.
  • Content Delivery: Provide an AI agent with the ability to retrieve images, videos, or documents stored in Azure Blob storage to serve users.
  • Application Data Storage: Allow an AI agent to store and retrieve data generated during its operation within Azure Blob storage.
  • File Management: Automate tasks like organizing files into containers and blobs based on specific criteria.

Key capabilities

  • Upload files to Azure Blob storage.
  • Download files from Azure Blob storage.
  • List containers in an Azure storage account.
  • List blobs within a container.
  • Utilizes the azure-storage-blob Python library.

Example prompts

  • "Upload this image file to my 'images' container."
  • "Download the file named 'report.pdf' from the 'reports' container."
  • "List all blobs in the 'data' container."
  • “Create a new container called ‘processed_files’ if it doesn’t exist.”

Tips & gotchas

  • Requires valid Azure account credentials and connection string to access Blob storage. Ensure these are securely provided to the AI agent.