prompt-injection-test

This skill serves as a controlled environment for testing security posture and robustness against adversarial prompts in AI-driven agent frameworks. It acts as a benchmark utility to verify that security scanners can effectively detect malicious instructions, system overrides, and unauthorized code execution patterns. By providing a standardized 'injection' payload, this skill enables developers and security engineers to evaluate the sensitivity and accuracy of their defense-in-depth mechanisms, such as static analysis, behavioral monitoring, and LLM-based gatekeepers.

• Simulates common prompt injection attack vectors, including system prompt manipulation and 'jailbreak' attempts.

• Contains embedded malicious payloads, such as unauthorized system command execution calls (e.g., shell interactions via os.system).

• Validates the detection capability of security scanning engines like Cisco AI Skill Scanner or other YAML/YARA-based analyzers.

• Serves as a ground-truth dataset for training or tuning detection models to minimize false negatives in production agent environments.

• Ideal for security research, red-teaming exercises, and automated CI/CD pipeline integrity checks for AI applications.

• The skill is intended for security testing, development environments, and research purposes only; it should not be deployed in production systems.

• Expected inputs involve interaction with an AI agent that triggers the skill, allowing scanners to monitor the dataflow of the malicious payload.

• Users should monitor the output logs for alerts related to prompt injection, command injection, and unauthorized data access patterns.

• Ensure that your local environment is appropriately sandboxed or isolated when executing these test payloads to prevent unintentional system damage.

• This artifact is compatible with Agent Skills specifications and standard AI security framework testing protocols, providing clear signals for pattern-based detection systems.