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Gitlab Container

Checked
grandcamel·vlatest·backend·MIT

This skill automates deployment to GitLab containers, streamlining your CI/CD pipeline and accelerating application delivery.

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 grandcamel/gitlab-assistant-skills --skill gitlab-container -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

grandcamel

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 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 grandcamel/gitlab-assistant-skills at bdb2745983.

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

Scanned
1 file, 267 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 an AI agent to interact with GitLab Container Registry. It can be used to pull container images, push new images, and manage image tags within a specified GitLab project. The skill provides functionality for automating container management tasks directly from the AI agent's interface.

When to use it

  • Automated deployments: Trigger container pulls or pushes as part of an automated deployment pipeline.
  • Image tagging: Automatically tag newly built images with version numbers or commit hashes.
  • Container retrieval for testing: Retrieve specific container image versions for integration or regression testing.
  • Project onboarding: Quickly pull base images and configure a new GitLab project's container registry.

Key capabilities

  • Pull container images from the GitLab Container Registry
  • Push container images to the GitLab Container Registry
  • Manage image tags within a GitLab project

Example prompts

  • "Pull the 'latest' tag of the 'my-app' image."
  • "Push the newly built image with tag 'v1.2.3'."
  • "List all available tags for the 'my-service' image in this project."

Tips & gotchas

The skill requires authentication to access your GitLab Container Registry, typically through environment variables or a configuration file containing API tokens. Ensure proper permissions are set within GitLab for the AI agent accessing the registry.