ObliInjection

Name: ObliInjection
Availability: InStock
Author: zzw4257

Test LLM agents for order-oblivious prompt injection vulnerabilities by analyzing prompt processing sequences.

Updated Feb 11, 2026

Search Tags:#vulnerability testing #ai security #prompt injection #llm security #adversarial attacks

Ready to run

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

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ObliInjection
Source: https://github.com/zzw4257/security-skills/tree/main/skills/obli-injection
Command: npx skills add https://github.com/zzw4257/security-skills --skill obliinjection

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the vulnerability of LLM agents to order-oblivious prompt injection attacks, allowing for the testing and understanding of these security flaws.

Core Features & Use Cases

Attack Simulation: Demonstrates how an attacker can manipulate LLM responses by injecting malicious prompts that are processed out of their intended order.
Security Testing: Enables security professionals to audit LLM applications for susceptibility to this specific type of attack.
Use Case: A security researcher can use this skill to test a customer-facing chatbot's resilience against prompt injection, ensuring it doesn't reveal sensitive information or execute unintended commands.

Quick Start

Run the ObliInjection tool to scan a target for order-oblivious prompt injection vulnerabilities.

Frequently Asked Questions about ObliInjection

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

FAQPage Schema

What is order-oblivious prompt injection in LLM security?▼

Order-oblivious prompt injection is an adversarial attack where malicious prompts manipulate LLM responses by being processed out of their intended sequence. This Skill tests LLM agents for these vulnerabilities by analyzing prompt processing sequences.

How do I test my chatbot for prompt injection vulnerabilities?▼

Run the ObliInjection tool to scan your target LLM agent for prompt injection vulnerabilities. It analyzes prompt processing sequences to check if malicious inputs can bypass sequential processing logic.

Can I use this for security auditing of AI-powered applications?▼

Yes, this Skill is designed for security auditing of AI-powered applications. Security professionals can audit customer-facing chatbots to ensure they do not reveal sensitive information or execute unintended commands.

Do I need specific prompt engineering techniques to test LLM agents?▼

Yes, testing LLM agents requires specific prompt engineering techniques to bypass sequential processing logic. This Skill provides scripts and references to simulate attacks and understand these security flaws.

What is the best way to simulate adversarial attacks on LLM agents?▼

The best way to simulate adversarial attacks is by injecting malicious prompts that exploit order-oblivious processing. This Skill demonstrates how attackers manipulate responses by disrupting intended processing order.

Why does prompt injection bypass sequential processing logic in LLMs?▼

Prompt injection bypasses sequential processing logic when an LLM agent fails to correctly order instructions, allowing injected prompts to be executed out of sequence. This Skill analyzes these processing sequences to identify the flaw.