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Docker

Checked
mindrally·vlatest·cloud·Apache-2.0

Automates Docker container deployment, scaling, and management within your cloud environment using intelligent orchestration.

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 mindrally/skills --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

mindrally

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 mindrally/skills at 7682ca7771.

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

Commit
7682ca7771
Manifest
docker/SKILL.md
Scanned
1 file, 86 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

Docker

What it does

This skill enables AI agents to interact with Docker containers, allowing them to build images, run processes, and manage container lifecycles directly. It provides the foundational infrastructure capabilities needed to deploy and execute isolated applications within a cloud environment.

When to use it

  • Deploying microservices that require specific runtime environments or dependencies.
  • Running ephemeral tasks like data processing jobs or temporary development tools.
  • Isolating experiments or testing code changes without affecting the host system.
  • Managing production workloads where container orchestration is required.

Key capabilities

  • Building Docker images from specified contexts and Dockerfiles.
  • Executing containers with custom command arguments and environment variables.
  • Stopping, restarting, and removing running containers dynamically.
  • Inspecting container logs and status to monitor execution health.

Example prompts

  • "Build a new Docker image for my Python web application using the provided code."
  • "Run a temporary Redis instance in a container to cache data for this session."
  • "Stop all running containers that are not part of the production stack."

Tips & gotchas

Ensure your agent has appropriate permissions to access the Docker daemon socket or API before attempting operations. Be cautious when passing sensitive environment variables into containers, as they may be exposed in logs or process listings.