Verified project record

zhaoxuya520/reverse-skill

reverse-skill is a skill-routing resource that directs AI agents to the correct security methodology and tools for reverse engineering and penetration testing tasks. It bootstraps the required toolchain on demand to enable repeatable workflows.

Project overview

It occupies a distinct niche as a router connecting diverse security tasks to the right playbook rather than functioning as a single tool, addressing a gap where AI agents otherwise guess commands and repeat mistakes.

Project type: AI Coding · RAG
Use cases: Knowledge Q&A
Deployment: Refer to project documentation
License: MIT

Best for

Developers and researchers who use a supported code AI client and need repeatable security workflows for reverse engineering or penetration testing tasks.
Security practitioners who want AI agents to select the correct tool and methodology for a given task instead of guessing commands.

Key capabilities

Routes a user task such as APK or binary analysis to the correct scenario skill and tools using a MASTER-ROUTING ladder.
Checks available local tools and bootstraps the required toolchain by running a refresh script per platform (Windows, Linux, macOS, Kali).
Provides ops contracts for scope, evidence chain, roles, and timeline to ensure repeatable security workflows.

Limitations and risks

Requires multiple external prerequisites to be installed, including Java/JDK, Node.js 22.12+, and Python 3.x, for the project to function fully.
Using the provided pentest and attack chain tools without explicit authorization may pose legal and ethical risks. Users must ensure proper authorization before deploying these tools.

Getting started

Install prerequisites including Java, Node.js 22.12+, Python 3.x, and a compatible code AI client. Clone the repository with git clone https://github.com/zhaoxuya520/reverse-skill.git, refresh the tool index using the respective platform script, then run the AI client and route a task via MASTER-ROUTING.