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Docker Local

Checked
madsnorgaard·vlatest·cloud

Run Docker containers locally using pre-defined configurations from a specified repository.

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 madsnorgaard/drupal-agent-resources --skill docker-local -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

madsnorgaard

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 madsnorgaard/agent-resources at 8bdcb0f304.

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

Commit
8bdcb0f304
Manifest
.claude/skills/docker-local/SKILL.md
Scanned
1 file, 299 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-local skill allows an AI agent to execute commands within a Docker container running locally on your machine. It provides access to tools and environments typically used in development, testing, or deployment workflows without needing direct access to remote servers. This enables the agent to perform tasks like building software, running tests, and interacting with local databases.

When to use it

  • Software Development: The agent can build and test code within a Docker container based on your project's configuration.
  • Local Environment Setup: Automate setting up complex development environments by leveraging pre-configured Docker images.
  • Database Interaction: The agent can run database migrations or execute queries against a locally running database in a container.
  • Running Command Line Tools: Execute specific command line tools that are packaged within a docker image, without needing to install them on the host machine.

Key capabilities

  • Execute commands inside Docker containers.
  • Access local development environments.
  • Interact with locally running services (databases, web servers).
  • Build and test software projects in isolated containerized environments.

Example prompts

  • "Run docker-compose up -d to start the development environment."
  • "Execute npm install within the 'my-project' Docker container."
  • "Run the tests using pytest inside the 'testing' container."

Tips & gotchas

Ensure that Docker is installed and running on your system before utilizing this skill. The agent needs appropriate permissions to interact with the Docker daemon; configuration may be required depending on your operating system.