Skip to content
TrustedSkillsbeta
Back to all skills

Python Packaging

Checked
athola·vlatest·backend·MIT

Automates Python package creation, testing, and distribution using best practices for efficient backend deployments.

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 athola/claude-night-market --skill python-packaging -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

athola

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 athola/claude-night-market at 9045831255.

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

Commit
9045831255
Manifest
plugins/parseltongue/skills/python-packaging/SKILL.md
Scanned
5 files, 544 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 automates the process of creating and distributing Python packages. It handles tasks like setting up project structure, generating metadata files (like setup.py), building distributions (.whl and .tar.gz files), and uploading them to a package index such as PyPI. This simplifies the deployment of reusable Python code for others to install and use.

When to use it

  • You've developed a Python library or tool that you want to share with other developers.
  • You need to create distributable packages from your existing Python projects.
  • You are automating the build process for a Python project as part of a CI/CD pipeline.
  • You want to easily upload your package to PyPI or another package index.

Key capabilities

  • Automated setup.py generation
  • Building .whl and .tar.gz distributions
  • Uploading packages to a package index (e.g., PyPI)

Example prompts

  • "Create a Python package for my project located in /path/to/my/project."
  • "Build a distribution of the code in my_python_module and upload it to PyPI."
  • “Generate a setup file with name 'MyProject' and version 1.0.”

Tips & gotchas

  • Requires Python development tools (e.g., setuptools, wheel) to be installed on the system where the AI agent is running.
  • Authentication may be required for uploading packages to a package index like PyPI; ensure appropriate credentials are available.