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Docker

Checked
oakoss·vlatest·cloud

Automates Docker container deployment, scaling, and management within your oakoss cloud environment.

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 oakoss/agent-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

oakoss

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 oakoss/agent-skills at 85e3a3919d.

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

Commit
85e3a3919d
Manifest
skills/docker/SKILL.md
Scanned
8 files, 1,678 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 interact with and manage Docker containers. It allows users to build, run, stop, and inspect Docker images and containers programmatically. The agent can also execute commands within a running container using the skill.

When to use it

  • Automating deployment: Deploying applications packaged in Docker containers to development or staging environments.
  • Troubleshooting containerized apps: Inspecting logs and executing commands inside a container experiencing issues.
  • Managing local development environments: Setting up and tearing down isolated development environments using Docker.
  • Running command-line tools within containers: Executing specific utilities that are part of a Docker image.

Key capabilities

  • Building Docker images from Dockerfiles
  • Running Docker containers based on images
  • Stopping running Docker containers
  • Inspecting container status and logs
  • Executing commands inside running containers

Example prompts

  • "Run the 'my-app' Docker image."
  • "Stop the container named 'webserver'."
  • "Inspect the logs of the 'database' container."
  • "Execute ls -l inside the container named 'app'."

Tips & gotchas

The agent requires access to a Docker environment (e.g., Docker Desktop, Docker Engine) to function correctly. Ensure that the necessary permissions are configured for the AI agent to interact with Docker.