Zen Pentesting Workflow Skill

SkillSecurity

Lets your agent run automated penetration tests, scan for vulnerabilities, and produce compliance reports.

Use Zen Pentesting Workflow Skill in Claude, ChatGPT or Ahel Desktop

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Also: Claude Code Β· Cursor Β· Codex

Then ask your AI: use the Zen Pentesting Workflow Skill skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Zen Pentesting Workflow SkillStart free
About this skill

πŸ›‘βš”οΈAI-Powered Penetration Testing Framework with automated vulnerability scanning, multi-agent system, and compliance reportingπŸ›‘βš”οΈ

What this skill tells your AI

The instructions your AI receives, as published by shadd0wtaka/zen-ai-pentest in skills/zen-workflow/SKILL.md and read by ahel’s review.

Complete end-to-end pentesting workflow using the Zen-Ai-Pentest platform.

Quick Start

# 1. Start all services
docker compose up -d
# or: ./scripts/start-zen.sh

# 2. Run full audit via CLI
deep-audit --target example.com --phases recon,scan,exploit,report

# 3. View dashboard at http://localhost:8501
# 4. Export report: deep-report --scan-id wf-abc123 --format pdf

Multi-Phase Workflow

Phase 1: Reconnaissance

deep-recon --target example.com --output recon.json

# What happens:
# - Subdomain enumeration (subfinder, amass, dnsx)
# - Port scanning (nmap, masscan)
# - Technology fingerprinting (whatweb, wappalyzer)
# - Screenshot (gowitness, aquatone)
# - OSINT (shodan, censys integration)

Phase 2: Scanning & Vulnerability Detection

deep-audit --target example.com --phases scan

# Tools engaged:
# - nuclei (community + custom templates)
# - web vulnerability (sqlmap, nikto, zap)
# - network (netexec, crackmapexec)
# - cloud (scoutsuite, prowler)

Phase 3: Exploitation (requires --force)

deep-audit --target example.com --phases exploit

# Metasploit: auto-match CVEs to modules
# Custom payload generation (msfvenom)
# Credential testing via netexec

Phase 4: Reporting

deep-report --scan-id YOUR-ID --format pdf
deep-report --scan-id YOUR-ID --format html

Custom Workflow Script

#!/usr/bin/env bash
# custom-audit.sh
set -euo pipefail

TARGET="$1"
WORKSPACE="./workspace/${TARGET}"

mkdir -p "$WORKSPACE"

echo "=== Phase 1: Network Discovery ==="
nmap -sV -sC -oA "$WORKSPACE/nmap" "$TARGET"

echo "=== Phase 2: Web Recon ==="
gobuster dir -u "https://$TARGET" -w wordlist.txt -o "$WORKSPACE/gobuster.txt"

echo "=== Phase 3: Vulnerability Scan ==="
nuclei -u "https://$TARGET" -o "$WORKSPACE/nuclei.txt"

echo "=== Phase 4: AI Analysis ==="
python -c "
from agents.react_agent import ReActAgent
agent = ReActAgent(max_iterations=5)
print(agent.run(target='$TARGET', objective='Analyze findings in $WORKSPACE'))
"

Docker Service Architecture

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚                   Zen Network                    β”‚
β”‚  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚
β”‚  β”‚ Terminal  β”‚  β”‚ WhatsApp Bot β”‚  β”‚ OmniRoute β”‚ β”‚
β”‚  β”‚ :23000   β”‚  β”‚ :23001       β”‚  β”‚ :20128    β”‚ β”‚
β”‚  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β”‚
β”‚  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚
β”‚  β”‚ Hermes   β”‚  β”‚ VPN Proxy    β”‚  β”‚ WG Proxy  β”‚ β”‚
β”‚  β”‚ :23002   β”‚  β”‚ :23003       β”‚  β”‚ :23004    β”‚ β”‚
β”‚  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

Runbook: Web Application Pentest

  1. Scope definition: agent_coordinator.create_workflow(target, phases=["recon"])
  2. Passive recon: WHOIS, DNS, Shodan, certificate transparency
  3. Active recon: subdomain brute-force, port scan, tech fingerprint
  4. Vulnerability scan: nuclei, custom template matching
  5. Manual testing: ReAct agent-driven follow-up on findings
  6. Exploitation: Metasploit + custom payloads (--force + admin approval)
  7. Reporting: risk_engine scoring β†’ PDF/HTML report generation
  8. Remediation: CVSS-prioritized fix recommendations

Signals

GitHub stars
470
Forks
82
Last commit
Oct 2026
Advanced
Item type
skill
Key
zen-workflow
Source
github.com/shadd0wtaka/zen-ai-pentest