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Docker Compose Ops

Checked
cowork-os·vlatest·cloud·MIT

Automates Docker Compose deployments, updates, scaling, and monitoring within your cloud environment.

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 cowork-os/cowork-os --skill docker-compose-ops -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

cowork-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 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 cowork-os/cowork-os at 3bf276fac9.

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

Scanned
2 files, 254 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 allows AI agents to manage and interact with Docker Compose deployments. It can start, stop, and inspect services defined in a docker-compose.yml file, enabling automated workflows and infrastructure management tasks. The agent can also retrieve information about running containers, such as logs and status.

When to use it

  • Automating development environments: Spin up local development stacks with multiple interconnected services quickly.
  • Managing testing infrastructure: Easily deploy and tear down test environments based on Docker Compose configurations.
  • Monitoring service health: Check the status of individual containers within a Compose application.
  • Troubleshooting deployments: Retrieve logs from specific containers to diagnose issues in a running environment.

Key capabilities

  • Start/Stop services defined in docker-compose.yml
  • Inspect container status and configuration
  • Retrieve container logs
  • Manage Docker Compose deployments

Example prompts

  • "Start the 'web' service in my docker-compose project."
  • "What is the current status of the database container?"
  • "Show me the latest 100 lines of log output from the app server."
  • "Stop all services defined in docker-compose.yml."

Tips & gotchas

The agent requires access to a directory containing a valid docker-compose.yml file. Ensure Docker and Docker Compose are installed and running on the system where the AI agent is executing.