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Net Docker

Checked
mitkox·vlatest·cloud·MIT

Automates Docker container deployment and management across cloud networks using pre-defined configurations.

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 mitkox/ai-coding-factory --skill net-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

mitkox

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 mitkox/ai-coding-factory at 203c85e3cd.

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

Commit
203c85e3cd
Manifest
.opencode/skill/net-docker/SKILL.md
Scanned
1 file, 166 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

The net-docker skill enables AI agents to interact with and manage Docker containers. It allows users to execute commands within a container, inspect container status, and perform basic container lifecycle operations like starting or stopping them. This facilitates automated tasks involving containerized applications and environments.

When to use it

  • Automated deployments: Automatically deploy new versions of an application packaged in a Docker image.
  • Troubleshooting: Quickly diagnose issues within running containers by executing commands inside them.
  • Environment setup: Automate the creation and configuration of development or testing environments using Docker containers.
  • Container orchestration: Manage simple container deployments without needing full-fledged orchestration platforms like Kubernetes.

Key capabilities

  • Execute commands within a Docker container.
  • Inspect the status of running Docker containers.
  • Start and stop Docker containers.

Example prompts

  • "Run ls -l /app inside container 'my_app'."
  • "What is the status of container 'database'?"
  • "Stop container named 'webserver'."

Tips & gotchas

  • Requires a working Docker environment to be available.
  • The agent needs appropriate permissions to interact with the Docker daemon.