An encryption and decryption toolkit for strings and bytes, featuring AES-128 support and Python code obfuscation.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install crypto-2
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install crypto-2 using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Pywayne Crypto is a comprehensive security utility designed to provide developers with robust encryption and decryption capabilities within their Openclaw Skills environment. It supports symmetric encryption using the Fernet (AES-128) standard, ensuring message integrity and high-level security for sensitive data.
Beyond standard data protection, the skill offers specialized features for Python developers, including code obfuscation to protect intellectual property and secure configuration management. By prioritizing Fernet encryption while maintaining an XOR fallback, it ensures versatility across different runtime environments and security requirements.
To integrate this functionality into your Openclaw Skills projects, you must have the pywayne library installed. You can install it via pip:
pip install pywayne
After installation, you can import the necessary functions into your Python scripts:
from pywayne.crypto import encrypt, decrypt
The skill manages data primarily through base64 encoded strings and structured JSON files. Below is the data taxonomy:
| Component | Format | Description |
|---|---|---|
| Raw Input | str / bytes | The source data to be processed. |
| Encrypted Data | str (Base64) | The secure, encoded output string. |
| Configuration | JSON (.enc) | Encrypted dictionary structures for application settings. |
| Batch Output | list[str] | An array of processed strings, returning None for individual failures. |
Loading
A high-performance WebSocket service for real-time communication and file sharing between Python and other languages.

A multi-threaded command-line utility that captures and logs all I/O streams in real-time while maintaining console interactivity.

A customizable PyQt5-based desktop chat interface for real-time, streaming LLM conversations with OpenAI-compatible backends.

A Gradio-based web interface for Ollama that supports multi-session management, model selection, and real-time streaming responses.

A specialized Python toolkit for managing hierarchical logic trees, union-find set operations, and seamless XML serialization.

A sophisticated reasoning framework that applies the ReAct-Plan methodology to decompose complex tasks into structured, iterative analysis.








































