Skip to content
TrustedSkillsbeta
Back to all skills

Docker

Checked
mrgoonie·vlatest·cloud

Automates Docker container deployment and management on cloud platforms using pre-defined configurations from mrgoonie.

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 mrgoonie/xxxnaper --skill docker -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

mrgoonie

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 mrgoonie/xxxnaper at a4d5bbf698.

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

Commit
a4d5bbf698
Manifest
.claude/skills/docker/SKILL.md
Scanned
1 file, 921 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 enables AI agents to interact with and manage Docker containers. It allows users to build, run, stop, and inspect Docker images and containers directly through natural language prompts. The agent can also pull images from registries and execute commands within a container's shell.

When to use it

  • You need to quickly deploy an application using a pre-built Docker image.
  • You want to automate the process of running and managing multiple Docker containers for development or testing.
  • You require an agent to troubleshoot issues within a running Docker container by executing commands inside it.
  • You're setting up a local development environment with specific dependencies packaged in Docker containers.

Key capabilities

  • Building Docker images from Dockerfiles
  • Running and stopping Docker containers
  • Pulling Docker images from registries
  • Executing commands within a running container’s shell
  • Inspecting Docker container status and logs

Example prompts

  • "Run the 'my-app' Docker image."
  • "Stop the container named 'webserver'."
  • "Pull the latest version of the 'nginx' image from Docker Hub."
  • "Execute 'ls -l' inside the 'database' container."

Tips & gotchas

The agent requires access to a Docker environment (e.g., Docker Desktop, Docker Engine) and appropriate permissions to interact with it. Ensure that the user has correctly configured their Docker environment before using this skill.