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Docker Manager

Checked
winsorllc·vlatest·cloud

Automates Docker container management tasks like building, deploying, scaling, and monitoring within your 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 winsorllc/upgraded-carnival --skill docker-manager -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

winsorllc

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 winsorllc/upgraded-carnival at 8fd52c772f.

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

Commit
8fd52c772f
Manifest
.pi/skills/docker-manager/SKILL.md
Scanned
1 file, 272 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 docker-manager skill allows AI agents to manage Docker containers. It can be used to list running containers, start and stop containers, and pull images from a registry. This enables automation of containerized application deployment and management workflows directly within an agent's capabilities.

When to use it

  • Automated Deployment: Deploying new versions of applications packaged in Docker containers without manual intervention.
  • Container Monitoring: Regularly checking the status of running containers and restarting failed ones.
  • Development Environments: Quickly spinning up and tearing down development environments based on Docker images.
  • Resource Management: Scaling container resources (e.g., memory, CPU) based on demand.

Key capabilities

  • Listing running Docker containers
  • Starting Docker containers
  • Stopping Docker containers
  • Pulling Docker images from a registry

Example prompts

  • "List all currently running Docker containers."
  • "Start the container named 'my-app'."
  • "Stop the container with ID '1234abcd5678efgh'."
  • "Pull the latest version of the 'nginx' image from Docker Hub."

Tips & gotchas

The agent needs appropriate permissions to interact with the Docker daemon. Ensure that the user or service account running the AI agent has sufficient privileges on the host machine where Docker is installed.