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Docker Containers

Checked
spjoshis·vlatest·cloud

Manage, inspect, and troubleshoot Docker containers across your cloud infrastructure using this powerful automation tool.

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 spjoshis/claude-code-plugins --skill docker-containers -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

spjoshis

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 spjoshis/claude-code-plugins at ddcf16ef7b.

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

Commit
ddcf16ef7b
Manifest
plugins/devops-automation/skills/docker-containers/SKILL.md
Scanned
1 file, 86 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 and manage Docker containers. It can be used to list running containers, start new containers from images, stop existing containers, and retrieve information about container status and logs. The agent can effectively orchestrate basic Docker operations through natural language commands.

When to use it

  • Development Environments: Quickly spin up development environments based on pre-defined Docker images.
  • Testing & Deployment: Automate the process of running tests within containers or deploying applications.
  • Troubleshooting: Examine container logs and status to diagnose issues in a deployed application.
  • Infrastructure Management: Perform basic container management tasks, such as starting or stopping services.

Key capabilities

  • List running Docker containers
  • Start new Docker containers from images
  • Stop existing Docker containers
  • Retrieve container status information
  • Access container logs

Example prompts

  • "Show me all the currently running Docker containers."
  • "Start a container named 'my-app' using the image 'nginx'."
  • "Stop the container called 'database'."
  • “What’s the output of the logs for my-web-app?”

Tips & gotchas

The agent requires access to a Docker environment. Ensure that the necessary permissions are configured so the AI can execute Docker commands successfully.