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Docker Test

Checked
peteonrails·vlatest·cloud·MIT

Helps with Docker, testing 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 peteonrails/voxtype --skill docker-test -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

peteonrails

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

    Only contacts known or declared hosts: github.com.

    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.

    Hosts contacted

    github.comsource host

  • 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 peteonrails/voxtype at 6d2fc6ddbf.

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

Commit
6d2fc6ddbf
Manifest
.claude/skills/docker-test/SKILL.md
Scanned
1 file, 116 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 execute tests within Docker containers. It can run commands and verify their output, enabling automated testing of applications packaged in Docker images. The skill provides a way to ensure code quality and consistency across different environments by leveraging the isolation provided by Docker.

When to use it

  • Automated Testing: Run unit or integration tests inside a Docker container to guarantee consistent execution environments.
  • Continuous Integration (CI): Integrate with CI pipelines to automatically test new Docker image builds.
  • Environment Validation: Verify that an application deployed in a Docker container is functioning as expected after deployment.
  • Reproducible Builds: Ensure the build process is reproducible by testing within a defined Docker environment.

Key capabilities

  • Executes commands inside Docker containers.
  • Verifies command output against expected results.
  • Supports automated test execution.

Example prompts

  • "Run pytest in the my-app container and check for errors."
  • "Execute make test within the staging Docker image."
  • "Verify that the ping google.com command returns a successful response inside the webserver container."

Tips & gotchas

  • The AI agent needs access to a running Docker environment and appropriate credentials.
  • Ensure the Docker images being tested are properly configured with all necessary dependencies.