owasp-coverage

Audit application code against OWASP Web Top 10 and GenAI/LLM Top 10 standards.

2|Updated Mar 19, 2026
One-click install
npx skills add https://github.com/alex-voloshin-dev/ai-skills --skill owasp-coverage
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: owasp-coverage
Source: https://github.com/alex-voloshin-dev/ai-skills/tree/main/plugin/skills/owasp-coverage
Command: npx skills add https://github.com/alex-voloshin-dev/ai-skills --skill owasp-coverage

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill addresses the fragmentation in security auditing by providing a unified, authoritative framework for evaluating both traditional web application risks and modern GenAI/LLM-specific vulnerabilities.

Core Features & Use Cases

  • Comprehensive Security Mapping: Covers the full OWASP Web Top 10 (2021) and the GenAI/LLM Top 10 (2025) in a single reference.
  • Context-Aware Auditing: Provides specific mitigation patterns for complex issues like prompt injection, excessive agency, and supply-chain vulnerabilities.
  • Use Case: During a code review or architecture design phase, use this skill to systematically verify that your AI agent implementation includes necessary guardrails against LLM-specific threats like prompt leakage or unbounded consumption.

Quick Start

Use the owasp-coverage skill to perform a security audit on the current codebase and identify potential vulnerabilities against both web and GenAI top 10 categories.

Frequently Asked Questions about owasp-coverage

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

FAQPage Schema
How do I audit my LLM application for OWASP Top 10 vulnerabilities?

To audit an LLM application for OWASP Top 10 vulnerabilities, map your codebase against a framework covering both Web Top 10 and GenAI/LLM Top 10 standards to identify risks like prompt injection and data disclosure, ensuring compliance with standard mitigation patterns.

What is threat modeling for AI-integrated systems?

Threat modeling for AI-integrated systems is the process of systematically verifying architecture against GenAI/LLM Top 10 categories to ensure necessary guardrails exist for LLM-specific threats like prompt leakage, excessive agency, and unbounded consumption.

How do I perform a security audit for prompt injection risks during code review?

Perform a security audit for prompt injection risks by evaluating application code against GenAI/LLM Top 10 standards during the architecture design phase, verifying that your AI agent implementation includes necessary guardrails and context-aware mitigation patterns.

Does this security audit framework cover both traditional web and GenAI vulnerabilities?

Yes, this security audit framework provides comprehensive security mapping covering the full OWASP Web Top 10 (2021) and the GenAI/LLM Top 10 (2025) in a single reference to address fragmentation in security auditing.

What are the limitations of using standardized OWASP coverage for vulnerability scanning?

Standardized OWASP coverage focuses on mapping code against known Web and GenAI/LLM Top 10 categories, providing mitigation patterns for issues like excessive agency and supply-chain vulnerabilities, but may require supplementary tools for novel, uncatalogued security threats.