AdaptiveAttackAgent

Name: AdaptiveAttackAgent
Availability: InStock
Author: zzw4257

Simulate adaptive indirect prompt injection attacks against LLM application defenses.

Updated Feb 11, 2026

Search Tags:#vulnerability testing #ai security #prompt injection #llm security #red teaming

Ready to run

npx skills add https://github.com/zzw4257/security-skills --skill adaptiveattackagent

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: AdaptiveAttackAgent
Source: https://github.com/zzw4257/security-skills/tree/main/skills/adaptive-attack-agent
Command: npx skills add https://github.com/zzw4257/security-skills --skill adaptiveattackagent

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the challenge of defending against sophisticated indirect prompt injection attacks that target AI models.

Core Features & Use Cases

Attack Simulation: Enables testing and understanding of indirect prompt injection vulnerabilities.
Defense Strategy Development: Aids in creating and evaluating defenses against these attacks.
Use Case: Security researchers can use this Skill to simulate attacks on their LLM applications and identify weaknesses in their prompt engineering and input sanitization strategies.

Quick Start

Use the AdaptiveAttackAgent skill to test defenses against indirect prompt injection on a target application.

Frequently Asked Questions about AdaptiveAttackAgent

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

FAQPage Schema

How do I test my LLM application for indirect prompt injection vulnerabilities?▼

To test for indirect prompt injection vulnerabilities, this Skill simulates adaptive attacks against your LLM application's prompt engineering and input sanitization defenses using a target application endpoint. It analyzes weaknesses in your current strategies.

What is indirect prompt injection in AI security?▼

Indirect prompt injection in AI security involves sophisticated attacks targeting AI models through manipulated inputs. This Skill simulates these adaptive attacks to help security researchers understand and identify vulnerabilities in LLM applications.

Do I need a specific environment to run red teaming simulations for LLM security?▼

Yes, running red teaming simulations for LLM security requires specific Python libraries and a target application endpoint for testing. These are necessary to execute the adaptive attack simulations against your AI models.

Can I use this to develop defense strategies against prompt injection?▼

Yes, you can use this to develop defense strategies against prompt injection. By simulating adaptive attacks, it aids in creating and evaluating defenses to protect AI models from sophisticated indirect prompt injection.

What limitations exist when analyzing input sanitization for AI models?▼

A key limitation when analyzing input sanitization is that the simulation requires a target application endpoint and specific Python libraries. It focuses on testing prompt engineering and input sanitization strategies rather than providing automated fixes.