Docker
CheckedAutomates Docker container deployment and management on g1joshi's cloud infrastructure using pre-defined templates.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add g1joshi/agent-skills --skill docker -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
g1joshi
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.
Automated safety checks
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 g1joshi/agent-skills at 6a74cf03a8.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 6a74cf03a8
- Manifest
- skills/devops/docker/SKILL.md
- Scanned
- 1 file, 173 lines
About this skill
What it does
This skill allows an AI agent to interact with and manage Docker containers. It can be used to build, run, stop, and inspect Docker images and containers, enabling automated deployment and management of applications within a containerized environment. The skill provides the ability to execute Docker commands directly through natural language prompts.
When to use it
- Automate application deployments: Deploy new versions of an application by building and running a Docker image from a repository.
- Manage development environments: Quickly spin up and tear down isolated development environments using Docker containers.
- Troubleshoot containerized applications: Inspect the status and logs of running containers to diagnose issues.
- Build custom images: Create new Docker images based on specific configurations or requirements.
Key capabilities
- Building Docker images from Dockerfiles
- Running, stopping, and removing Docker containers
- Inspecting Docker image and container details
- Executing arbitrary Docker commands
Example prompts
- "Run the latest version of my application in a Docker container."
- "Build a Docker image named 'my-app' from the current directory."
- "Show me the logs for the container named 'webserver'."
- “Stop and remove all running containers.”
Tips & gotchas
- Requires access to a Docker environment (e.g., Docker Desktop, a remote Docker host).
- The agent needs appropriate permissions to execute Docker commands within the target environment.