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Azure Containerregistry Py

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sickn33·vlatest·cloud·MIT

Authenticate to and manage Azure Container Registry images using Python scripting for automated deployments.

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 sickn33/agentic-awesome-skills --skill azure-containerregistry-py -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

sickn33

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.

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 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.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 sickn33/antigravity-awesome-skills at 5a4cdd9df8.

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

Scanned
0 files
Copies in repo
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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 provides programmatic access to Azure Container Registry (ACR) using the azure-containerregistry-python library. It allows you to interact with your ACR, including pulling and pushing container images, listing repositories, and managing tags. This enables automation of common ACR tasks within AI agent workflows.

When to use it

  • Automated deployments: Trigger image pulls from ACR as part of a deployment pipeline.
  • Image management: List available tags for a specific repository to inform versioning decisions.
  • CI/CD pipelines: Push newly built container images to your ACR registry.
  • Inventory and auditing: Retrieve information about images stored in your ACR for compliance or reporting purposes.

Key capabilities

  • Pulling container images from ACR
  • Pushing container images to ACR
  • Listing repositories within an ACR instance
  • Managing image tags (listing, creating)

Example prompts

  • "List all the repositories in my Azure Container Registry named 'myregistry'."
  • "Pull the latest version of the 'myapp' image from ACR registry 'myregistry' and tag it as 'latest-test'."
  • "Push the container image located at /tmp/myimage.tar to the 'myrepo' repository in ACR 'myregistry'."

Tips & gotchas

  • Requires appropriate Azure credentials configured for authentication with your ACR instance. Ensure the AI agent has permissions to access the registry and perform the desired actions.