secknowledge-skill

Enumerate attack surfaces and guide security assessments for web and AI targets.

369|41|Updated Feb 9, 2026
One-click install
npx skills add https://github.com/Pa55w0rd/secknowledge-skill --skill secknowledge-skill-pa55w0rd
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: secknowledge-skill
Source: https://github.com/Pa55w0rd/secknowledge-skill/tree/main
Command: npx skills add https://github.com/Pa55w0rd/secknowledge-skill --skill secknowledge-skill-pa55w0rd

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the lack of professional, systematic security knowledge in general-purpose AI models by providing an on-demand, battle-tested knowledge base for penetration testing and security assessments.

Core Features & Use Cases

  • Systematic Attack Surface Enumeration: Automatically lists attack surfaces and test cases for Web and AI targets.
  • Real-world Bypass Strategies: Provides countermeasures and payloads derived from 88,636 WooYun vulnerability cases and 173 GAARM AI security risks.
  • Use Case: When testing an AI chatbot for prompt injection, the Skill automatically loads relevant risk categories (e.g., direct/indirect injection, MCP poisoning) to guide your assessment.

Quick Start

Use the secknowledge-skill to perform a systematic security assessment on the target web application and identify potential SQL injection vulnerabilities.

Frequently Asked Questions about secknowledge-skill

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

FAQPage Schema
How do I identify attack surfaces for web and AI application penetration testing?

Systematic attack surface enumeration automatically lists test cases and potential vulnerabilities for web and AI targets, integrating OWASP frameworks and GAARM risk matrices to guide your assessment.

Can I get real-world bypass payloads for AI security and prompt injection testing?

Yes, real-world bypass strategies and countermeasures are derived from 88,636 WooYun vulnerability cases and 173 GAARM AI security risks, providing payloads for direct and indirect prompt injection.

What is the best way to conduct a systematic security audit on LLMs and Agents?

A systematic security audit on LLMs and Agents is guided by loading relevant risk categories like MCP poisoning and prompt injection, applying GAARM risk matrices to evaluate modern AI frameworks.

Does this security knowledge base cover both traditional web protocols and modern AI frameworks?

Yes, it provides offensive and defensive security knowledge covering traditional web protocols alongside modern AI frameworks like LLMs and Agents, integrating WooYun databases and OWASP security frameworks.

How do I use OWASP security frameworks to guide automated security assessments?

OWASP security frameworks are integrated into the knowledge base to guide automated security assessments, systematically enumerating attack surfaces and providing countermeasures for web vulnerabilities like SQL injection.

What are the limitations of using general-purpose AI models for vulnerability research?

General-purpose AI models lack professional systematic security knowledge; this Skill overcomes that limitation by providing an on-demand, battle-tested knowledge base for red team operations and vulnerability research.