targeted-pentest

Automate targeted penetration testing with single hypothesis validation and attack simulation.

1|Updated Jun 26, 2026

Search Tags:#security analysis #penetration testing #vulnerability testing #hypothesis validation #attack simulation

Ready to run

npx skills add https://github.com/xijunww/Pentest --skill targeted-pentest

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: targeted-pentest
Source: https://github.com/xijunww/Pentest/tree/main/packages/core/src/config/skills/builtin/targeted-pentest
Command: npx skills add https://github.com/xijunww/Pentest --skill targeted-pentest

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, requests, BeautifulSoup, lxml, pandas, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates targeted penetration testing by executing single hypothesis-based validation on locked parameters, significantly reducing manual effort and enabling faster analysis.

Core Features & Use Cases

Single Hypothesis Validation: Execute targeted tests on a specific hypothesis with defined parameters.
Automated Attack Simulation: Simulate attacks on web, API, authentication, and other specified targets.
Automated Reporting: Generate reports based on test results and findings.
Use Case: For a given vulnerability, this Skill can automatically simulate an attack, validate the hypothesis, and provide a detailed report with evidence and conclusions.

Quick Start

Use the targeted-pentest skill to validate the 'SQL Injection' hypothesis against the 'targeting-service.com' domain.

Frequently Asked Questions about targeted-pentest

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

FAQPage Schema

How do I automate penetration testing for single hypothesis validation on specific targets?▼

Automated penetration testing for single hypothesis validation executes targeted tests on locked parameters to reduce manual effort. It simulates attacks on specific targets to validate defined vulnerabilities and generate detailed reports with evidence.

What attack vectors can I simulate using automated penetration testing scripts?▼

Automated penetration testing scripts simulate multiple attack vectors including SQLi, XSS, and SSRF. They handle complex scenarios involving multiple validation stages across web, API, and authentication targets to confirm specific vulnerability hypotheses.

Can I use Python with requests and BeautifulSoup for web vulnerability testing?▼

Python with requests, BeautifulSoup, and lxml supports web vulnerability testing by automating reconnaissance and attack simulation. These dependencies enable targeted hypothesis validation against specified web domains and API endpoints.

Does automated penetration testing generate reports with evidence and conclusions?▼

Automated penetration testing generates reports based on test results and findings. It provides detailed documentation with evidence and conclusions after validating a specific vulnerability hypothesis against a defined target.

What is the best way to validate an SQL Injection hypothesis against a specific domain?▼

The best way to validate an SQL Injection hypothesis is executing targeted attack simulation against the specific domain. This validates the vulnerability hypothesis automatically and generates a detailed report with the resulting evidence.

Do I need pandas and lxml installed to run targeted penetration testing scripts?▼

You need pandas and lxml installed to run these penetration testing scripts. Python, requests, and BeautifulSoup are also required dependencies to execute the reconnaissance and automated attack simulation processes.