ai-redteam-attack-patterns

Organize AI/LLM attack patterns for red-team scenarios and MITRE ATLAS mapping.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/apireaisecurity/apire-ai-security-platform --skill ai-redteam-attack-patterns
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-redteam-attack-patterns
Source: https://github.com/apireaisecurity/apire-ai-security-platform/tree/main/apire-redteam-kit/.agent/skills/ai-redteam-attack-patterns
Command: npx skills add https://github.com/apireaisecurity/apire-ai-security-platform --skill ai-redteam-attack-patterns

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides a centralized reference of AI/LLM attack patterns to support red-team scenario design, result classification, and MITRE ATLAS mapping for security-testing workflows.

Core Features & Use Cases

  • Comprehensive catalog of prompt-injection, jailbreaking, data-exfiltration techniques and related signals.
  • Guidance for mapping attack scenarios to MITRE ATLAS techniques.
  • Tools for classifying attack results and improving analyzer logic.
  • Supports scenario authoring and test case development for LLM security.

Quick Start

Describe a red-team scenario using ai-redteam-attack-patterns as the reference for attack techniques and ATLAS mapping.

Frequently Asked Questions about ai-redteam-attack-patterns

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

FAQPage Schema
How do I map LLM red-team attack scenarios to MITRE ATLAS techniques?

You can map LLM red-team attack scenarios to MITRE ATLAS techniques using a centralized knowledge base that catalogs prompt-injection, jailbreaking, and data-exfiltration patterns to classify and validate attack results.

What prompt injection and jailbreaking techniques are used for LLM security testing?

Prompt injection and jailbreaking techniques for LLM security testing are organized in a comprehensive catalog that includes related detection signals to support scenario authoring and red-team test case development.

How do I classify AI red-team attack results and improve LLM analyzer logic?

Classify AI red-team attack results and improve LLM analyzer logic by applying a structured knowledge base of attack patterns that conforms to platform detection and classification rules for validation.

Can I use a red-team attack pattern knowledge base for compliance mapping and scenario development?

Yes, a red-team attack pattern knowledge base supports compliance mapping and scenario development by identifying and organizing AI/LLM attack patterns, ensuring results remain maintainable, extensible, and auditable.

Does the AI red-team attack pattern catalog require external dependencies to classify attack scenarios?

No, the AI red-team attack pattern catalog operates without external dependencies, allowing you to directly describe scenarios and apply its internal detection logic to classify and validate LLM security threats.