skills.rest
pauljbernard
pauljbernardCOMMUNITY
Explore all skills by this author →
GitHub

Red Team AI Security

Model advanced security threats targeting AI systems and development pipelines.

5|3|Updated Feb 26, 2026
Search Tags:#ai security#prompt injection#vulnerability analysis#adversarial ai#red teaming#supply chain attacks
One-click install
npx skills add https://github.com/pauljbernard/headElf --skill red-team-ai-security
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Red Team AI Security
Source: https://github.com/pauljbernard/headElf/tree/main/skills/security/specialized/red-team-ai-security
Command: npx skills add https://github.com/pauljbernard/headElf --skill red-team-ai-security

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the critical security vulnerabilities inherent in AI systems and their development pipelines, focusing on advanced threats like prompt poisoning and supply chain attacks.

Core Features & Use Cases

  • AI System Security Analysis: Identifies weaknesses in AI models, development workflows, and AI-assisted tools.
  • Attack Simulation: Develops and models sophisticated attacks including prompt injection, context manipulation, and supply chain compromises.
  • Use Case: A company developing an AI-powered code generation tool can use this Skill to proactively identify and mitigate risks of malicious code being injected through compromised training data or adversarial prompts, ensuring the integrity of their product.

Quick Start

Analyze the AI development pipeline for potential prompt injection vulnerabilities.

Frequently Asked Questions about Red Team AI Security

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

FAQPage Schema
How do I test for prompt injection vulnerabilities in AI systems?▼

Modeling supply chain attacks in AI development pipelines involves identifying compromises in training data and analyzing development workflows. It focuses on detecting malicious code injection and ensuring product integrity through secure development practices.

What is context manipulation in adversarial AI?▼

Context manipulation in adversarial AI is a sophisticated attack technique that alters the AI's processing logic by injecting malicious instructions. It targets vulnerabilities in AI-assisted workflows to compromise model-level integrity and execution behavior.

Does AI red teaming require knowledge of secure development practices?▼

Yes, AI red teaming requires a deep understanding of secure development practices and adversarial techniques. This advanced knowledge is necessary to effectively model exploitation scenarios and identify complex vulnerabilities in AI development pipelines.

How do I simulate supply chain attacks on AI development pipelines?▼

To simulate supply chain attacks on AI development pipelines, you model exploitation scenarios targeting compromised training data and development tools. This identifies potential malicious code injection vectors and secures the AI-assisted workflow.

Related Skills

Explore More Software Engineering Skills→
atilladenizatilladeniz
2

system-design

Generate Mermaid diagrams for system design and architecture visualization.

Community
Basic
latestaiagentslatestaiagents
5

prompt-injection-guard

Validate and sanitize user inputs to defend against prompt injection attacks.

Official
Advanced
jaskaranhundaljaskaranhundal
3

supply-chain-risk

Assesses software supply chain risks via dependency, build pipeline, and SBOM analysis.

Community
Advanced
GuitarAlchemistGuitarAlchemist

ix-adversarial

Evaluate machine learning model robustness against adversarial attacks like FGSM and PGD.

Official
Advanced