A skill-routing library that directs AI coding agents to the correct security methodology and tools for reverse engineering and penetration testing tasks. It bootstraps toolchains across major operating systems and requires a compatible code AI client along with external runtime dependencies.
Project overview
It addresses AI agents guessing commands in security workflows by routing tasks through a MASTER-ROUTING ladder to specific scenario skills and tools.
Project type
AI Coding · RAG
Use cases
Knowledge Q&A
Deployment
Refer to project documentation
License
MIT
Best for
Developers and researchers using supported code AI clients who need to route reverse engineering or penetration testing tasks to specific methodologies and tools.
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 (Java/JDK, Node.js 22.12+, Python 3.x) to function fully.
Using the provided pentest and attack chain tools without explicit authorization may pose legal and ethical risks.
Getting started
Setup is considered medium difficulty. Users must install prerequisites (Java, Node.js 22.12+, Python 3.x, and a code AI client), clone the repository, refresh the tool index using the respective platform script, and run the AI client to route a task via MASTER-ROUTING.