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Docker Expert

Listed
lev-os·vlatest·cloud

Automates complex Docker container deployments and management within LevOS cloud environments for optimized performance.

Repository

Install on your platform

This skill no longer installs under the name docker-expert. SKILL.md has no name/description frontmatter, so the skills CLI skips it.

We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-21. We don't show a command we know will fail.

Repository install instructions

What we know about this skill

Publisher

lev-os

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    SKILL.md has no YAML frontmatter, so it declares nothing machine-readable.

    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 lev-os/agents at 05868468aa.

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

Commit
05868468aa
Manifest
skills-db/devops/docker-expert/SKILL.md
Scanned
1 file, 258 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 provides expertise in Docker, enabling AI agents to create, manage, and troubleshoot containerized applications. It can generate Dockerfiles, compose multi-container deployments with Docker Compose, and diagnose issues within a Docker environment. The agent can also assist with optimizing Docker images for size and performance.

When to use it

  • You need help creating a Dockerfile from existing application code.
  • You want to automate the deployment of multiple containers using Docker Compose.
  • You are experiencing problems with your Docker containers (e.g., networking, resource constraints) and require troubleshooting assistance.
  • You're looking for ways to reduce the size or improve the performance of your existing Docker images.

Key capabilities

  • Dockerfile generation
  • Docker Compose configuration
  • Container troubleshooting
  • Image optimization

Example prompts

  • "Generate a Dockerfile for a Python Flask application."
  • "Create a docker-compose.yml file to run a web server and a database container."
  • "My Docker container is failing to start; can you help me diagnose the problem?"
  • “How can I reduce the size of my Node.js Docker image?”

Tips & gotchas

The agent assumes basic familiarity with Docker concepts. Providing existing application code or configuration files will improve the quality and relevance of its output.