ClaudeCage

🥈Silver

ClaudeCage is a portable, sandboxed version of Claude Code with improved performance. It runs in an isolated environment, ensuring security and compatibility across systems. Ideal for operations teams needing secure AI automation.

134110Updated Today

Intermediate30min to implementautomation

Saves ~240 min per use

Quick InstallView Source

git clone https://github.com/PACHAKUTlQ/ClaudeCage.git

Works with:

Claude

Overview

About This Skill

ClaudeCage is an innovative automation skill designed to run Claude Code in a sandbox environment. It is packaged as a single portable executable, eliminating the need for external dependencies. This unique setup allows for improved performance compared to the official version, making it an attractive option for developers and AI practitioners looking to streamline their workflows. By leveraging this skill, users can execute AI automation tasks more efficiently, enhancing their overall productivity. The key benefits of ClaudeCage include its portability and superior performance. Users can implement this skill in just 30 minutes, making it accessible even for those with intermediate technical expertise. Although the specific time savings are currently unknown, the skill's design suggests that it can significantly reduce the time spent managing dependencies and configuration issues. This efficiency is particularly beneficial for developers and product managers who need to focus on delivering value rather than troubleshooting setup problems. ClaudeCage is particularly suited for developers and AI practitioners who are looking to integrate AI automation into their projects seamlessly. Given its intermediate complexity, it is ideal for those familiar with coding and automation principles. The skill can be applied in various scenarios, such as automating data processing tasks, enhancing machine learning workflows, or even streamlining frontend development processes. For instance, a developer could use ClaudeCage to automate the testing of AI models, allowing for quicker iterations and more reliable results. In terms of implementation, users will find that ClaudeCage requires no additional dependencies, making it straightforward to deploy in any environment. This ease of use aligns with the growing trend towards AI-first workflows, where rapid deployment and efficiency are paramount. By incorporating ClaudeCage into their automation toolkit, teams can enhance their capabilities and focus on innovation rather than operational overhead.

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/PACHAKUTlQ/ClaudeCage

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Create a portable executable for a Python script that automates [TASK] using Claude Code. The script should be self-contained with no external dependencies. Optimize it for performance and ensure it runs efficiently in a sandboxed environment.

Example Output

# Portable Executable for Automated Task

## Overview
A self-contained, portable executable that automates [TASK] using Claude Code. This executable is optimized for performance and runs efficiently in a sandboxed environment.

## Features
- **Self-Contained**: No external dependencies required.
- **Optimized Performance**: Enhanced for faster execution.
- **Sandboxed Environment**: Secure and isolated operation.

## Usage
1. **Download**: Obtain the portable executable from [LINK].
2. **Run**: Execute the file on any compatible system.
3. **Configure**: Adjust settings as needed for [TASK].

## Performance Metrics
- **Execution Time**: ~2.5 seconds per task.
- **Memory Usage**: ~150 MB.
- **Compatibility**: Windows 10 and later.