prompt-injection-tester

You can test system prompts against prompt injection attacks by running automated adversarial probes that evaluate extraction and injection resistance. This Skill applies over 225 probe techniques to measure robustness and generates a trust score to guide prompt hardening before deployment.

Adversarial red-teaming for AI assistants is the process of validating security by simulating malicious inputs against system prompts. It automates evaluation across 225+ probe techniques to identify extraction vulnerabilities and quantify resistance with a reproducible trust score.

Automate prompt robustness testing in a CI/CD pipeline by running shell utilities to execute probe batteries against target models. This validates system prompts as a security gate, scoring resistance across 225+ techniques to ensure hardening before production deployment.

You do not need AgentSeal integration to score adversarial probe results, as it is optional. The Skill can automate evaluation and provide remediation guidance independently, but integrating AgentSeal enables automated detection and scoring of probe success across the 225+ techniques.

You can manually reproduce reported prompt injection attacks for research using the included probe battery. This allows researchers to validate defenses by running specific adversarial techniques against system prompts and analyzing the resulting robustness scores.

The best way to harden system prompts against extraction vulnerabilities is by running adversarial probes to reveal weaknesses, then applying the provided remediation guidance. This automated evaluation quantifies resistance with a trust score to guide security validation across development environments.