package

Clean Python projects and replace sensitive information with placeholders.

Updated May 20, 2026
One-click install
npx skills add https://github.com/Aarong365/Enterprise-Knowledge-Hub --skill package-aarong365
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: package
Source: https://github.com/Aarong365/Enterprise-Knowledge-Hub/tree/main/.github/skills/package
Command: npx skills add https://github.com/Aarong365/Enterprise-Knowledge-Hub --skill package-aarong365

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill ensures that your project is free of unnecessary files and sensitive information, ready for distribution to users.

Core Features & Use Cases

  • Clean Project: Removes caches, build artifacts, logs, and IDE files to create a minimal codebase.
  • Sanitize Secrets: Replaces API keys and other sensitive information with placeholders.
  • Use Case: When you want to share your project with others or deploy it to a production environment.

Quick Start

Run the package skill to clean and prepare your project for distribution.

Frequently Asked Questions about package

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I sanitize sensitive information in a Python project before distribution?

To sanitize sensitive information for project distribution, this Skill automatically scans your Python codebase and replaces API keys and secrets with secure placeholders. This ensures your project remains safe for sharing without manual redaction.

What is the best way to clean a Python project for production deployment?

The best way to clean a Python project for production deployment is to remove caches, build artifacts, logs, and IDE files. This Skill creates a minimal, ready-to-use codebase by stripping unnecessary files during the packaging process.

Do I need common Python libraries installed to prepare a clean project version?

Yes, you need Python and common Python libraries installed to prepare a clean project version. This Skill requires a structured configuration environment and relies on these standard dependencies to execute its cleaning and sanitization scripts.

How does project sanitization handle unnecessary files during packaging?

Project sanitization handles unnecessary files by systematically removing caches, build artifacts, logs, and IDE configurations from the directory. This process prepares a minimal, clean codebase that is fully optimized for user distribution or production deployment.

Can I use this project preparation tool with any structured Python configuration?

You can use this project preparation tool with projects featuring structured configurations. It is designed to package Python codebases by executing scripts that sanitize secrets and clean artifacts, making it suitable for standard structured setups.