guardian-ai-pentest-cli

Orchestrate AI-guided penetration testing workflows with multi-agent security tools.

4|Updated May 16, 2026
One-click install
npx skills add https://github.com/Aradotso/devtools-skills --skill guardian-ai-pentest-cli
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: guardian-ai-pentest-cli
Source: https://github.com/Aradotso/devtools-skills/tree/main/skills/guardian-ai-pentest-cli
Command: npx skills add https://github.com/Aradotso/devtools-skills --skill guardian-ai-pentest-cli

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps security teams run penetration testing workflows that combine AI-driven planning with multiple security tools, producing step-by-step results and evidence for later reporting.

Core Features & Use Cases

  • AI-powered pentest orchestration: Plans and coordinates multi-step security assessments using configurable AI providers (OpenAI, Claude, Gemini, OpenRouter).
  • Tool-driven scanning & analysis: Runs a pipeline that can include probing, technology fingerprinting, WAF detection, vulnerability scanning (e.g., Nuclei), and enumeration steps, with structured reporting.
  • Evidence capture & reporting: Produces reports in Markdown/HTML/JSON and saves session outputs for auditability.

Use case example: Run an authorized web penetration test against a staging domain to discover exposed endpoints and known vulnerabilities, then compile findings with evidence into a readable report for your security review.

Quick Start

Use the guardian-ai-pentest-cli skill to run the web_pentest workflow against https://example.com and generate an evidence-backed security assessment.

Frequently Asked Questions about guardian-ai-pentest-cli

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run an AI-guided penetration test with evidence reporting?

AI-guided penetration testing orchestrates multi-step security assessments using configurable AI providers to plan, scan, and generate structured evidence reports. You run a configured workflow against an authorized target, and the pipeline probes, fingerprints, and enumerates vulnerabilities.

What is AI workflow orchestration for vulnerability scanning?

AI workflow orchestration for vulnerability scanning coordinates multiple security tools across probing, WAF detection, and enumeration steps. It uses multi-agent orchestration to drive the assessment pipeline, capturing structured session outputs for later auditability and reporting.

Do I need Python 3.11+ and an AI provider API key for automated security assessments?

Yes, automated security assessments require Python 3.11+, one supported AI provider API key like OpenAI or Claude, and a configured guardian.yaml file. These prerequisites enable the multi-agent orchestration to plan and execute the testing workflows.

Can I use Nuclei vulnerability scanning within an orchestrated ethical hacking pipeline?

Yes, you can use Nuclei vulnerability scanning within the orchestrated ethical hacking pipeline. The workflow runs a tool-driven pipeline that includes probing, technology fingerprinting, WAF detection, and vulnerability scanning to assess targets for known vulnerabilities.

What is the best way to generate structured security reports from a web penetration test?

The best way to generate structured security reports from a web penetration test is using an AI-guided orchestration pipeline that saves session outputs and compiles findings into Markdown, HTML, or JSON formats, ensuring evidence-backed auditability for security reviews.