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.