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Docker

Checked
fellipeutaka·vlatest·cloud·MIT

Automates Docker container deployment and management on cloud platforms using fellipeutaka's optimized configurations.

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 fellipeutaka/leon --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

fellipeutaka

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 fellipeutaka/leon at 43679db33a.

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

Scanned
2 files, 556 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 facilitates tasks such as pulling images from registries, running containers based on those images, and inspecting container status. The skill provides a streamlined way for agents to automate common Docker operations within a development or deployment workflow.

When to use it

  • Automated deployments: Use the skill to automatically deploy applications packaged in Docker containers to various environments.
  • Local development workflows: Quickly spin up and manage local development environments using pre-defined Docker images.
  • Containerized testing: Automate running tests within isolated Docker containers for consistent results.
  • Image management: Pull, tag, and push Docker images to registries as part of a larger build pipeline.

Key capabilities

  • Pulling Docker images from registries
  • Running containers based on specified images
  • Inspecting container status (running, stopped, etc.)

Example prompts

  • "Run a Docker container named 'my-app' using the image 'ubuntu:latest'."
  • "Pull the latest version of the 'nginx' Docker image."
  • “What is the status of the container named ‘database’?”

Tips & gotchas

The skill requires access to a Docker environment. Ensure that the AI agent has appropriate permissions and credentials configured within that environment to execute Docker commands successfully.