ghuntley

claude-code-source-code-deobfuscation

Name: claude-code-source-code-deobfuscation
Author: ghuntley

Git community intermediate

SOURCE https://github.com/ghuntley/claude-code-source-code-deobfuscation

Description

| ![GitHub Repo stars](https://badgen.net/github/stars/ghuntley/claude-code-source-code-deobfuscation) | Cleanroom deobfuscation of official Claude Code npm package | Source code deobfuscation|

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

Claude Code (Research Preview) Cleanroom Deobfuscation

**DISCLAIMER:**

This is a cleanroom of the official Claude Code npm package.

Learn more at https://ghuntley.com/tradecraft

Claude Code is a product by Anthropic. I am not anthropic. Do not pester Anthropic about this source-code. Use it as a reference to learn about the LLM clean-room technique detailed above.

About Claude Code

Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.

Some of its key capabilities include:

Edit files and fix bugs across your codebase
Answer questions about your code's architecture and logic
Execute and fix tests, lint, and other commands
Search through git history, resolve merge conflicts, and create commits and PRs

**Learn more in the [official documentation](https://docs.anthropic.com/en/docs/agents/claude-code/introduction)**.

Get started

Run the following command in your terminal: 

npm install -g @anthropic-ai/claude-code

Navigate to your project directory and run claude

Complete the one-time OAuth process with your Anthropic Console account.

Research Preview

We're launching Claude Code as a beta product in research preview to learn directly from developers about their experiences collaborating with AI agents. Our aim is to learn more about how developers prefer to collaborate with AI tools, which development workflows benefit most from working with the agent, and how we can make the agent experience more intuitive.

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