AICGSecEval provides a repository-level evaluation framework for assessing the security of AI-generated code. It derives code generation tasks from real-world GitHub projects and CVE patches, automatically extracting project-level context to simulate realistic AI programming scenarios. The framework integrates a hybrid evaluation suite combining static and dynamic analysis to measure security performance of AI-assisted programming tools.