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Docker Containerization

Listed
findinfinitelabs·vlatest·cloud·MIT

Automates Docker container creation and deployment on Infinite Labs infrastructure for scalable cloud applications.

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 findinfinitelabs/chuuk --skill docker-containerization -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

findinfinitelabs

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 2 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: ollama.com.

    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

    ollama.comundeclaredhost.docker.internallocal

    What it found

    • .claude/skills/docker-containerization/SKILL.md:32contacts ollama.com
      RUN curl -fsSL https://ollama.com/install.sh | sh

  • No pipe-to-shell installers: failed

    Runs code fetched at install time in 1 place.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

    What it found

    • .claude/skills/docker-containerization/SKILL.md:32remote script piped into a shell
      RUN curl -fsSL https://ollama.com/install.sh | sh

  • 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.

  • Pinned to a commit: passed

    Scanned findinfinitelabs/chuuk at f865be4359.

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

Commit
f865be4359
Manifest
.claude/skills/docker-containerization/SKILL.md
Scanned
1 file, 88 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 create and manage Docker containers. It allows for packaging applications with their dependencies into standardized units, ensuring consistent execution across different environments. The agent can define container configurations, build images from those configurations, and run or stop containers based on user instructions.

When to use it

  • Reproducible deployments: Deploy a web application consistently across development, staging, and production environments.
  • Dependency management: Package an application with all its required libraries and dependencies in a single container.
  • Microservices architecture: Manage individual microservices as isolated containers for easier scaling and maintenance.
  • Testing and Development: Quickly spin up isolated testing or development environments based on Docker images.

Key capabilities

  • Container configuration definition
  • Image building from configurations
  • Container running and stopping
  • Standardized application packaging

Example prompts

  • "Create a Docker container for my Python Flask app."
  • "Build an image from the docker-compose.yml file."
  • “Run the container named ‘my_app’ in detached mode.”

Tips & gotchas

  • Requires familiarity with Docker concepts and potentially docker-compose.
  • The agent's effectiveness depends on accurate and complete Docker configuration files (e.g., Dockerfile, docker-compose.yml).