ai-testing-safety
CommunityRed-team AI safety before deployment.
System Documentation
What problem does it solve?
Find every way users can break your AI before they do. Use when you need to red-team your AI, test for jailbreaks, find prompt injection vulnerabilities, run adversarial testing, do a safety audit before launch, prove your AI is safe for compliance, stress-test guardrails, or verify your AI holds up against adversarial users. Covers automated attack generation, iterative red-teaming with DSPy, and MIPROv2-optimized adversarial testing.
Core Features & Use Cases
- Guide the user through automated adversarial testing — systematically discovering vulnerabilities before real users exploit them.
- Implement layered attack programs (attack -> critique -> refine) to improve attack quality and guardrail evaluation.
- Generate structured safety reports and remediation guidance to support compliance and governance.
Quick Start
Run a safety audit by letting the DSPy RedTeamer probe your AI system and record vulnerabilities.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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-testing-safety Download link: https://github.com/lebsral/DSPy-Programming-not-prompting-LMs-skills/archive/main.zip#ai-testing-safety Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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