ai-threat-testing
CommunitySystematically test AI security against OWASP risks.
AuthorYukiIto1999
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Offensive AI security testing aims to identify and remediate vulnerabilities in LLM-based systems, including prompt manipulation, unsafe outputs, data exposure, and supply-chain risks, to prevent real-world abuse before attackers can exploit them.
Core Features & Use Cases
- 10 specialized agents addressing each OWASP LLM vulnerability (prompt injection, output handling, training poisoning, resource exhaustion, supply chain, excessive agency, model extraction, vector poisoning, overreliance, and logging bypass).
- Structured workflows from reconnaissance to evidence collection and reporting, enabling repeatable security assessments.
- Authorized testing framework with remediation-oriented results, suitable for red-team exercises, vendor risk reviews, and internal security audits.
Quick Start
Initiate an authorized AI security assessment across all ten OWASP LLM vulnerabilities for the target application.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ai-threat-testing Download link: https://github.com/YukiIto1999/ctf-sleuth/archive/main.zip#ai-threat-testing Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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