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AgentFuzz

Scan LLM-based agent code for taint-style vulnerabilities.

Updated Feb 11, 2026
Search Tags:#vulnerability detection#ai security#prompt injection#agent security#llm security
One-click install
npx skills add https://github.com/zzw4257/security-skills --skill agentfuzz
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: AgentFuzz
Source: https://github.com/zzw4257/security-skills/tree/main/skills/agent-fuzz
Command: npx skills add https://github.com/zzw4257/security-skills --skill agentfuzz

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the critical need to automatically identify taint-style vulnerabilities within Large Language Model (LLM)-based agents, enhancing their security posture.

Core Features & Use Cases

  • Vulnerability Detection: Automatically scans LLM agents for taint-style vulnerabilities.
  • Security Enhancement: Helps secure AI agents against potential exploits.
  • Use Case: A security engineer can use AgentFuzz to proactively test a newly developed LLM-powered chatbot to ensure it's not susceptible to prompt injection attacks before deployment.

Quick Start

Run AgentFuzz to scan the current project directory for vulnerabilities.

Frequently Asked Questions about AgentFuzz

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

FAQPage Schema
How do I detect prompt injection vulnerabilities in my LLM agent?▼

AgentFuzz scans your agent code to automatically identify taint-style vulnerabilities, directly addressing the need to detect and prevent prompt injection attacks in LLM-based agents.

What is taint-style vulnerability detection for AI agents?▼

Taint-style vulnerability detection for AI agents is an automated scanning process that analyzes LLM agent code to identify security flaws where untrusted input might manipulate the model's behavior.

How do I scan my project directory for LLM security flaws?▼

You can scan your project directory for LLM security flaws by running AgentFuzz, which automatically analyzes the agent code to identify taint-style vulnerabilities and prevent potential exploits.

Does automated agent security scanning require external dependencies?▼

No external dependencies are required to use this agent security scanning Skill, but you do need the AgentFuzz tool installed to analyze your LLM agent code and identify security flaws.

Can I proactively test a newly developed LLM chatbot against prompt injection attacks?▼

Yes, you can proactively test a newly developed LLM chatbot against prompt injection attacks by running AgentFuzz to scan the current project directory and identify taint-style vulnerabilities before deployment.

What are the limitations of using taint-style scanning for AI agent security?▼

Taint-style scanning for AI agent security specifically focuses on identifying taint-style vulnerabilities and prompt injection flaws, requiring the AgentFuzz tool to analyze the agent code within your project directory.

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