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Dockerfile

Checked
chaterm·vlatest·cloud·Apache-2.0

Generates Dockerfiles from project descriptions, streamlining container image creation and deployment for efficient application packaging.

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 chaterm/terminal-skills --skill dockerfile -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

chaterm

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 chaterm/terminal-skills at 464c295428.

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

Commit
464c295428
Manifest
docker/dockerfile/SKILL.md
Scanned
1 file, 332 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 generate and interpret Dockerfiles. It can create instructions for building container images, specifying base images, copying files, setting environment variables, and defining default commands. The resulting Dockerfile can then be used to build a deployable container image.

When to use it

  • Automated Software Deployment: Generate Dockerfiles to package applications and their dependencies into containers for consistent deployments across different environments.
  • Reproducible Development Environments: Create Dockerfiles that define the exact software versions and configurations needed for developers to replicate project setups.
  • Containerized Application Building: Automate the process of building container images from source code, reducing manual steps and potential errors.
  • Infrastructure as Code: Define your infrastructure using Dockerfiles, enabling version control and automated provisioning.

Key capabilities

  • Dockerfile generation
  • Base image selection
  • File copying
  • Environment variable definition
  • Command specification

Example prompts

  • "Create a Dockerfile for a Python application with requirements from requirements.txt."
  • "Generate a Dockerfile using Node.js 16 as the base image, and copy all files from the current directory."
  • “Write a dockerfile that installs nginx and exposes port 80.”

Tips & gotchas

The AI agent may require context about the application's dependencies or specific configurations to generate accurate Dockerfiles. Ensure you provide sufficient details for optimal results.