H-Pentest AI Platform

Skill by ara.so — Security Skills collection.

H-Pentest is an AI-driven penetration testing platform using multi-agent architecture with LLM (Large Language Model) orchestration. It features a Meta Supervisor, Strategic Supervisor, Worker Agent, Payload Master, and Report Supervisor working together to perform automated security testing. The platform includes 52+ attack knowledge documents, Docker sandbox execution, and real-time monitoring.

Architecture Overview

Multi-Agent System:

• Meta Supervisor: Generates insights every 3 rounds, decides when to stop testing, mode-aware (CTF vs RealWorld)
• Strategic Supervisor: Creates initial test plan, dynamically adjusts strategy each round
• Worker Agent: Executes tasks using ReAct framework (Reasoning → Action → Observation → Reflection)
• Payload Master: Provides testing guidance every 3 rounds, suggests payloads for identified vulnerabilities
• Report Supervisor: Analyzes conversation history, extracts vulnerabilities, generates attack paths