skills.rest
ArianHobson333
ArianHobson333COMMUNITY
Explore all skills by this author →
GitHub

ai-threat-testing

Detect and exploit OWASP LLM Top 10 vulnerabilities in large language models.

7|1|Updated Apr 14, 2026
Search Tags:#vulnerability assessment#AI security#penetration testing#large language models#LLM testing
One-click install
npx skills add https://github.com/ArianHobson333/claude-bug-bounty-stack --skill ai-threat-testing-arianhobson333
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-threat-testing
Source: https://github.com/ArianHobson333/claude-bug-bounty-stack/tree/main/vendor/communitytools/projects/pentest/.claude/skills/ai-threat-testing
Command: npx skills add https://github.com/ArianHobson333/claude-bug-bounty-stack --skill ai-threat-testing-arianhobson333

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires owasp, python, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill addresses the security challenges faced by Large Language Models (LLMs), providing a framework to systematically test for OWASP LLM Top 10 vulnerabilities.

Core Features & Use Cases

  • Specialized Agents: Tests for vulnerabilities such as prompt injection, output handling, training data poisoning, and model extraction.
  • Integrated Penetration Testing: Enhances traditional penetration testing with AI-specific threat assessment.
  • Professional Reporting: Generates detailed reports with CVSS scores and remediation guidance.
  • Quick Start: Perform an AI security assessment with a single command targeting LLM applications.

Quick Start

Run /ai-threat-testing with the target LLM application URL to begin testing.

Frequently Asked Questions about ai-threat-testing

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

FAQPage Schema
How do I test LLM applications for OWASP Top 10 vulnerabilities?▼

To test LLM applications for OWASP Top 10 vulnerabilities, you can run an automated security assessment using specialized agents that systematically detect and exploit threats like prompt injection and model extraction.

Can I integrate AI penetration testing with traditional security workflows?▼

Yes, AI penetration testing integrates with traditional workflows by enhancing standard security assessments with AI-specific threat detection, providing comprehensive vulnerability coverage for large language models.

What is the best way to detect prompt injection vulnerabilities in large language models?▼

The best way to detect prompt injection vulnerabilities is using specialized testing agents that systematically evaluate LLM features to identify and exploit OWASP LLM Top 10 security weaknesses.

Do I need Python to set up LLM vulnerability assessments?▼

Yes, Python is required as a dependency to run the scripts and setup the environment for executing automated LLM vulnerability assessments and generating security reports.

How does AI security testing generate remediation guidance for detected threats?▼

AI security testing generates remediation guidance by analyzing detected vulnerabilities, calculating CVSS scores, and producing detailed professional reports outlining specific security fixes for the LLM application.

Related Skills

Explore More Software Engineering Skills→
infantesromeroadrianinfantesromeroadrian

cybersecurity

Automate security audits, penetration testing, and CTF competitions with security tools.

Community
Advanced
williamzujkowskiwilliamzujkowski
6

Application Security Validator

Assess application security against OWASP Top 10 2021 and API Security Top 10.

Community
Advanced
RooseveltAdvisorsRooseveltAdvisors
1

WebAssessment

Automate web application security assessments and generate prioritized penetration testing plans.

Community
Advanced
giosuetedeschi-specgiosuetedeschi-spec

Ethical Hacking Methodology

Guide authorized penetration tests through reconnaissance, scanning, exploitation, and reporting.

Community
Advanced