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D6E Docker Stf Development

Checked
d6e-ai·vlatest·cloud·MIT

Automates STF testing environments within Docker containers on cloud platforms for rapid iOS development iteration.

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 d6e-ai/d6e-docker-stf-skills --skill d6e-docker-stf-development -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

d6e-ai

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: host.docker.internal.

    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

    host.docker.internallocal

  • 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 d6e-ai/d6e-docker-stf-skills at c63ea990d2.

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

Commit
c63ea990d2
Manifest
skills/d6e-docker-stf-development/SKILL.md
Scanned
9 files, 4,342 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 enables AI agents to develop and manage Docker containers using STF (Software Testing Framework). It allows for automated container creation, configuration, and execution within a controlled testing environment. The agent can orchestrate complex workflows involving multiple containers and leverage STF's capabilities for robust software testing.

When to use it

  • Automating the setup of test environments requiring specific dependencies packaged in Docker containers.
  • Creating reproducible builds by encapsulating development tools and libraries within isolated containers.
  • Running integration tests across different containerized services, ensuring compatibility and stability.
  • Deploying applications consistently across various platforms using Docker images managed through STF.

Key capabilities

  • Docker container management (creation, configuration)
  • STF integration for testing workflows
  • Automated build processes within containers
  • Reproducible development environments

Example prompts

  • "Create a Docker container with Python 3.9 and pip installed."
  • "Run the 'integration_tests' suite in STF using the 'api-service' container."
  • "Build a Docker image from the provided Dockerfile and tag it as 'latest'."

Tips & gotchas

Requires familiarity with both Docker and STF concepts. Ensure that the agent has appropriate permissions to interact with the Docker daemon and STF server.