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Docker

Checked
vong3432·vlatest·cloud

Automates Docker container deployment, management, and scaling on cloud platforms using predefined configurations.

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 vong3432/vibemark --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

vong3432

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 vong3432/vibemark at 0809a6c110.

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

Commit
0809a6c110
Manifest
.claude/skills/docker/SKILL.md
Scanned
2 files, 950 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 build, run, stop, and inspect Docker images and containers, enabling automated deployment and management of applications within containerized environments. The skill provides a way to orchestrate these tasks through natural language prompts.

When to use it

  • Automated deployments: Deploying new versions of an application by building and running a new Docker image.
  • Container management: Starting, stopping, or restarting existing containers based on specific conditions or requests.
  • Troubleshooting: Inspecting container logs and status to diagnose issues with deployed applications.
  • Environment setup: Creating and configuring development environments using Docker containers.

Key capabilities

  • Building Docker images from Dockerfiles
  • Running Docker containers
  • Stopping Docker containers
  • Inspecting Docker container status and logs

Example prompts

  • "Build a Docker image named 'my-app' from the Dockerfile in the current directory."
  • "Run a Docker container based on the 'nginx:latest' image, mapping port 80 to port 8080."
  • “Stop the container named ‘webserver’.”

Tips & gotchas

The skill requires that Docker is installed and running on the system where the AI agent is executing. Ensure you have appropriate permissions to interact with the Docker daemon.