PromptInjection

Test AI applications for prompt injection vulnerabilities and analyze defenses.

1|Updated Mar 11, 2026

Search Tags:#penetration testing #jailbreak #prompt injection #LLM security #AI security assessment #guardrail bypass

Ready to run

npx skills add https://github.com/BishopCodes/OpenPAI --skill promptinjection

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: PromptInjection
Source: https://github.com/BishopCodes/OpenPAI/tree/main/skills/Security
Command: npx skills add https://github.com/BishopCodes/OpenPAI --skill promptinjection

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires browser-automation, research, writing, media, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill safeguards AI applications by proactively identifying and testing for prompt injection vulnerabilities, ensuring the AI adheres to its intended instructions and doesn't fall prey to malicious manipulation.

Core Features & Use Cases

Comprehensive Attack Testing: Simulates various prompt injection techniques, including direct injection, indirect injection, jailbreaking, and multi-stage attacks.
Reconnaissance & Analysis: Maps the application's attack surface, identifies injection points, and analyzes AI/LLM components.
Use Case: A developer wants to ensure their new customer service chatbot cannot be tricked into revealing sensitive system information or executing unauthorized commands. They use this Skill to simulate attacks and verify the chatbot's defenses.

Quick Start

Use the PromptInjection skill to perform a full security assessment on the target application.

Frequently Asked Questions about PromptInjection

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

FAQPage Schema

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

You can test AI applications for prompt injection by simulating direct and indirect injection, jailbreaking, and multi-stage attacks. This process involves mapping the attack surface, identifying injection points, and analyzing AI components to verify defenses against malicious manipulation.

What is indirect prompt injection and how does it compromise LLM security?▼

Indirect prompt injection is a technique where malicious instructions are embedded in external data sources processed by the LLM. It compromises security by manipulating the AI into executing unauthorized commands or bypassing guardrails without direct user interaction.

How do I perform a security assessment to prevent chatbot jailbreaking?▼

Performing a security assessment to prevent chatbot jailbreaking requires reconnaissance and attack surface mapping to identify system prompt extraction vectors. Simulating multi-stage attacks tests the chatbot's adherence to intended instructions and verifies guardrail bypass defenses.

Can I use automated penetration testing to extract system prompts from an LLM?▼

Yes, automated penetration testing can be used to extract system prompts from an LLM. By simulating targeted extraction techniques during the attack surface mapping phase, you can identify vulnerabilities that leak sensitive system information and analyze defense mechanisms.

What is the best way to map the attack surface of an AI application?▼

The best way to map the attack surface of an AI application is through comprehensive reconnaissance that identifies injection points and analyzes LLM components. This approach ensures full security assessment coverage by highlighting areas susceptible to direct and indirect injection.

Why do multi-stage attacks bypass LLM guardrails?▼

Multi-stage attacks bypass LLM guardrails by chaining together seemingly benign prompts that incrementally manipulate the AI's context. This technique exploits analytical weaknesses in the AI's instruction adherence, eventually forcing unauthorized command execution or system prompt extraction.