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Docker

Checked
poindexter12·vlatest·cloud·MIT

Automates Docker container deployment, scaling, and management across your cloud infrastructure using pre-defined 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 poindexter12/waypoint --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

poindexter12

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 poindexter12/waypoint at c8c7387fe2.

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

Scanned
8 files, 1,489 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 an AI agent to interact with and manage Docker containers. It can pull images from registries, run containers based on those images, and expose ports for access. The skill provides a way to automate containerized application deployment and management tasks within the agent's workflow.

When to use it

  • Deploying a simple web application: Quickly spin up a container running a pre-built image like Nginx or Apache.
  • Running development environments in containers: Create isolated, reproducible development setups for specific projects.
  • Automating testing of Dockerized applications: Execute tests within a controlled container environment.
  • Managing microservices: Orchestrate and control multiple containerized services as part of a larger application.

Key capabilities

  • Image pulling from registries
  • Container execution based on images
  • Port exposure for container access

Example prompts

  • "Run a Docker container named 'my-app' using the image 'nginx:latest'."
  • "Pull the latest version of the 'redis' image."
  • "Expose port 8080 from the container running on port 80."

Tips & gotchas

The agent needs access to a Docker environment (e.g., Docker Desktop, Docker Engine) for this skill to function correctly. Ensure that the necessary permissions are configured so the AI agent can execute Docker commands.