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openclaw-docker

Manage Docker containers and Compose projects via OpenClaw tools

Why use this skill?

Efficiently control Docker containers and Compose projects using the OpenClaw agent. Monitor logs, inspect services, and manage lifecycles securely with fine-grained permission controls.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/homeofe/openclaw-docker
Or

What This Skill Does

The openclaw-docker skill serves as a comprehensive bridge between your OpenClaw agent and your local or remote Docker environment. By providing a structured interface for container orchestration and Docker Compose management, it allows your AI agent to monitor, maintain, and interact with your service infrastructure without leaving the chat interface. The plugin supports connection via standard Unix sockets or secure TLS-encrypted TCP connections, ensuring it can operate in diverse environments ranging from local development setups to remote production servers. With granular configuration controls such as read-only modes and whitelisted operation lists, users can dictate the exact level of authority the agent has over their infrastructure.

Installation

To integrate this skill into your environment, utilize the OpenClaw command-line interface. Ensure that Docker Engine is installed and the Docker CLI is accessible within your system path, as these are prerequisites for the plugin's execution. Run the following command in your terminal:

clawhub install openclaw/skills/skills/homeofe/openclaw-docker

After installation, proceed to the OpenClaw configuration file to define your Docker host, authentication settings, and specific project directories for Compose operations. Ensure that the service account running the agent has the necessary permissions to communicate with the Docker daemon.

Use Cases

This skill is ideal for DevOps engineers and developers who want to streamline container lifecycle management. Common scenarios include automatically checking service status during outages, inspecting container logs to debug failing applications, or managing microservice deployments via Docker Compose. It is particularly effective for "self-healing" workflows where an AI agent can detect a crash and trigger a container restart, or for environment management where an agent can pull the latest service status across a stack of projects.

Example Prompts

  1. "Check the current status of all running containers on the production host and report if any are crashing."
  2. "Inspect the identity-service container to see its current resource usage and environment variables."
  3. "Pull the latest changes and bring the aegis compose project up to apply the new configuration."

Tips & Limitations

To maintain security, always prioritize the principle of least privilege. Utilize readOnly: true in configurations where the agent only needs to monitor status, and limit the allowedOperations list to the absolute minimum set of tools required for your tasks. Note that Compose operations are restricted to the paths explicitly defined in the composeProjects array, which helps prevent the agent from manipulating unauthorized directories. Always secure your TLS certificates if using remote connections to prevent unauthorized access to your Docker daemon. Be aware that the timeoutMs setting is crucial for preventing the agent from hanging on long-running processes, so adjust this according to your network latency.

Metadata

Author@homeofe
Stars2387
Views1
Updated2026-03-09
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-homeofe-openclaw-docker": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#docker#devops#containers#orchestration#infrastructure
Safety Score: 2/5

Flags: network-access, file-read, code-execution