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Docker

Checked
poletron·vlatest·cloud·CC0-1.0

Automates Docker container deployment and management within Polechron cloud environments using intelligent scripting.

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 odjaramillo/custom-rules --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

poletron

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 poletron/custom-rules at aba6668777.

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

Scanned
4 files, 686 lines
Copies in repo
2 — all of them scanned
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

The poletron-docker skill enables AI agents to interact with and manage Docker containers. It allows users to build, run, stop, and inspect Docker images and containers directly through natural language prompts. This skill simplifies container management tasks by abstracting away the complexities of command-line interfaces.

When to use it

  • Development Environments: Quickly spin up development environments based on pre-built Docker images.
  • Testing & Deployment: Automate testing and deployment processes involving Docker containers.
  • Infrastructure Management: Manage existing Docker infrastructure, such as scaling container instances or checking their status.
  • Reproducible Workflows: Create reproducible workflows by defining and executing tasks within Docker containers.

Key capabilities

  • Building Docker images from Dockerfiles
  • Running Docker containers based on specified images
  • Stopping running Docker containers
  • Inspecting the status of Docker containers

Example prompts

  • "Build a Docker image named 'my-app' from the file Dockerfile."
  • "Run the Docker container called 'webserver'."
  • "Stop the container named 'database'."
  • "What is the status of the container 'api'?"

Tips & gotchas

The skill requires a working Docker environment to be set up and accessible. Ensure that the AI agent has appropriate permissions to interact with the Docker daemon.