Metatron Pentest Assistant

This is a fully local penetration testing assistant that chains nmap, whois, nikto, and other recon tools, feeds the output to a fine-tuned Qwen LLM running via Ollama, and stores everything in MariaDB with scan history and vulnerability tracking. You get PDF and HTML reports, an agentic loop that reasons about findings, and zero API calls. It's built for Parrot OS but runs anywhere with the tooling installed. The setup is manual but well documented: pull a 4B or 9B model, build a custom Modelfile, create five database tables, and run the CLI in a second terminal while the model stays loaded. If you want AI assisted pentesting that never leaves your machine and you're comfortable with some assembly required, this is a solid starting point.

skills.sh installs: 602
GitHub stars: 61
last updated: Jul 14, 2026

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Install

$ npx -y skills add aradotso/trending-skills --skill metatron-pentest-assistant --agent claude-code

Installs into .claude/skills of the current project.

Files

METATRON Penetration Testing Assistant

Skill by ara.so — Daily 2026 Skills collection.

METATRON is a CLI-based AI penetration testing assistant that runs entirely locally — no cloud, no API keys. It orchestrates recon tools (nmap, whois, whatweb, curl, dig, nikto), feeds results to a locally running fine-tuned LLM (metatron-qwen via Ollama), and stores all findings in MariaDB with full scan history, vulnerability tracking, and PDF/HTML export.

Architecture Overview

metatron.py     ← CLI entry point, main menu, scan orchestration
db.py           ← MariaDB CRUD (history, vulns, fixes, exploits, summary)
tools.py        ← Recon tool runners (nmap, whois, whatweb, curl, dig, nikto)
llm.py          ← Ollama interface, agentic loop, AI tool dispatch
search.py       ← DuckDuckGo search + CVE lookup (no API key)
Modelfile       ← Custom metatron-qwen model config

Database spine: every scan creates a sl_no in history; all other tables link via sl_no.

Metatron Pentest Assistant

Install

Files

METATRON Penetration Testing Assistant

Architecture Overview

Installation

1. Clone and set up Python environment

Details

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