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Python Dev

Checked
doccker·vlatest·backend

Automates Python development environments using Docker containers, streamlining setup and ensuring consistent project builds.

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 doccker/cc-use-exp --skill python-dev -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

doccker

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 doccker/cc-use-exp at 64470cb5c2.

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

Commit
64470cb5c2
Manifest
skills/python-dev/SKILL.md
Scanned
3 files, 675 lines
Copies in repo
3 — all of them scanned
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 Python applications within Docker containers. It provides a preconfigured environment with essential tools and libraries, streamlining the development process. Specifically, it allows for easy creation, building, and testing of Python projects packaged as Docker images.

When to use it

  • Developing a new Python-based microservice or application.
  • Reproducing a specific Python development environment across multiple machines.
  • Automating the build and deployment process for Python applications.
  • Creating isolated environments for different Python project dependencies.

Key capabilities

  • Preconfigured Docker environment for Python development.
  • Simplified creation of Dockerfiles for Python projects.
  • Streamlined building and testing within a containerized environment.
  • Isolation of project dependencies to avoid conflicts.

Example prompts

  • "Create a Dockerfile for my Flask application."
  • "Build a Docker image from the current directory using Python 3.9."
  • "Run tests inside a Docker container with pytest."

Tips & gotchas

This skill assumes basic familiarity with Docker concepts and commands. Ensure you have Docker installed and running before attempting to use this skill for optimal results.