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Learning Docker

Listed
dvdksn·vlatest·cloud

Automates Dockerfile creation and container deployment based on application requirements, streamlining cloud workflows.

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 dvdksn/learn-docker --skill learning-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

dvdksn

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: 172.17.0.3.

    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.

    Hosts contacted

    172.17.0.3undeclared

    What it found

    • skills/learning-docker/architecture/networking.md:54contacts 172.17.0.3
      curl http://172.17.0.3:3000  # 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 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 dvdksn/learn-docker at 97a2d95454.

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

Commit
97a2d95454
Manifest
skills/learning-docker/SKILL.md
Scanned
17 files, 6,200 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 understand and interact with Docker, a platform for developing, shipping, and running applications. It allows agents to create Dockerfiles, build images, run containers, and manage Docker Compose configurations. The agent can automate common Docker workflows and troubleshoot container-related issues.

When to use it

  • Automating deployments: Use the skill to automatically build and deploy application updates packaged in Docker containers.
  • Setting up development environments: Quickly provision consistent development environments using Docker containers defined by Dockerfiles.
  • Troubleshooting containerized applications: Diagnose and resolve issues within running Docker containers, such as resource constraints or configuration errors.
  • Creating reproducible builds: Ensure consistent application builds across different environments by leveraging Docker's image layering capabilities.

Key capabilities

  • Dockerfile creation and modification
  • Image building from Dockerfiles
  • Container execution and management
  • Docker Compose file generation and operation

Example prompts

  • "Create a Dockerfile for a Python Flask application."
  • "Build a Docker image named 'my-app' from the current directory."
  • "Run a container based on the 'nginx' image, mapping port 80 to port 8080."
  • “Generate a docker-compose file for a web app and database”

Tips & gotchas

The agent requires basic understanding of Docker concepts like images, containers, and volumes. Complex Docker configurations might require iterative refinement of prompts to achieve the desired outcome.