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Docker

Checked
jgamaraalv·vlatest·cloud·MIT

Automates Docker container deployment, scaling, and management on cloud platforms using pre-defined 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 jgamaraalv/ts-dev-kit --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

jgamaraalv

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 jgamaraalv/ts-dev-kit at d4a6870312.

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

Commit
d4a6870312
Manifest
skills/docker/SKILL.md
Scanned
3 files, 262 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 programmatically. The skill provides a way to automate common Docker workflows within an AI agent's capabilities.

When to use it

  • Automated Development Environments: Setting up development environments by pulling pre-built Docker images.
  • Application Deployment: Deploying applications packaged in Docker containers to local or remote servers.
  • Container Management: Managing existing Docker containers, such as starting, stopping, and inspecting their status.
  • Reproducible Builds: Ensuring consistent builds by leveraging Dockerfiles and container images.

Key capabilities

  • Build Docker images from Dockerfiles
  • Run Docker containers
  • Stop running Docker containers
  • Inspect Docker container details

Example prompts

  • "Build a Docker image named 'my-app' from the Dockerfile in the current directory."
  • "Run a Docker container using the image 'ubuntu:latest'."
  • "Stop the Docker container with ID '1234567890ab'."

Tips & gotchas

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