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Docker Management

Checked
bagelhole·vlatest·cloud·MIT

Helps with Docker, management as part of deploying and managing cloud infrastructure workflows.

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 bagelhole/devops-security-agent-skills --skill docker-management -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

bagelhole

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 bagelhole/devops-security-agent-skills at 0365f57a07.

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

Commit
0365f57a07
Manifest
devops/containers/docker-management/SKILL.md
Scanned
2 files, 461 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 an AI agent to manage Docker containers and related resources. It can build, run, stop, and remove Docker containers based on provided instructions or configuration files (like Dockerfiles). The agent can also interact with Docker images and volumes for more advanced container orchestration tasks.

When to use it

  • Automating the deployment of applications within a Docker environment.
  • Troubleshooting issues with existing Docker containers by inspecting their status and logs.
  • Creating reproducible development environments using Dockerfiles.
  • Managing Docker image builds and pushing them to registries.

Key capabilities

  • Build Docker images from Dockerfiles
  • Run, stop, and remove Docker containers
  • Manage Docker volumes
  • Interact with the Docker daemon

Example prompts

  • "Build a Docker image named 'my-app' using this Dockerfile."
  • "Run a container from the 'my-app' image, mapping port 8080 on the host to port 80 in the container."
  • “List all running containers.”

Tips & gotchas

The agent requires access to a Docker environment (e.g., a local machine with Docker installed or a remote Docker server). Ensure proper permissions are configured for the AI agent to interact with the Docker daemon.