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Docker

Checked
yldgio·vlatest·cloud·MIT

Automates Docker container deployment and management on yldgio's cloud platform for streamlined application delivery.

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 yldgio/codereview-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

yldgio

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 yldgio/codereview-skills at f0b07716f4.

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

Commit
f0b07716f4
Manifest
skills/docker/SKILL.md
Scanned
1 file, 81 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 facilitates tasks like building images, running containers, inspecting container status, and pulling images from registries. The agent can leverage this skill to automate deployment workflows and simplify application management within a Docker environment.

When to use it

  • Automated deployments: Deploying new versions of applications packaged in Docker containers.
  • Local development environments: Setting up consistent development environments using Docker Compose or similar tools.
  • Containerized testing: Running automated tests inside isolated Docker containers.
  • Troubleshooting container issues: Inspecting logs and status to diagnose problems with running containers.

Key capabilities

  • Building Docker images from Dockerfiles
  • Running Docker containers based on provided configurations
  • Pulling Docker images from registries
  • Inspecting the status of running containers

Example prompts

  • "Build a Docker image named 'my-app' using the Dockerfile in this directory."
  • "Run a container from the 'nginx:latest' image, mapping port 80 to port 8080 on my host machine."
  • "Pull the latest version of the 'postgres' image from Docker Hub."

Tips & gotchas

The agent needs access to a Docker environment (e.g., Docker Desktop or a remote Docker server) and appropriate permissions to execute commands. Ensure that any necessary credentials for pulling images are provided securely.