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Red-teaming and evaluation framework for AI agents, built around an OWASP-inspired ASI01–ASI10 taxonomy

818 production-grade cybersecurity skills · 34 security domains · 6 framework mappings · 26+ AI platforms

"Another AI hacker? Let us guess — it runs nmap and writes a report."

> OpenAI 호환 경로의 토큰 상한 함정. gpt-4o 처럼 OpenAI 계열 모델은 응답 토큰 상한이 16,384 입니다. 그런데 OpenAI 호환 요청에는 기본적으로 더 큰 출력 상한(32,768)이 실려, 그대로 두면 모든 호출이 400 (maxtokens is too large) 으로 실패합니다.

Atomic Red Team™ is a library of tests mapped to the MITRE ATT&CK® framework. Security teams can use Atomic Red Team to quickly, portably, and reproducibly test their environments.

Kubescape is an open-source Kubernetes security platform for your IDE, CI/CD pipelines, and clusters. It includes risk analysis, security, compliance, and misconfiguration scanning, saving Kubernetes users and administrators precious time, effort, and resources.

Sigma is a generic and open signature format that allows you to describe relevant log events in a straightforward manner. The rule format is very flexible, easy to write and applicable to any type of log file.

BEAR-C2 is an adversary simulation and emulation framework built around real-world TTPs inspired by Russian, Chinese, North Korean, and Iranian APT groups.

> Beta — A single-binary Kubernetes attack path engine for authorized security assessments.

Skills, agents and commands that give Claude the playbook for an internal Active Directory assessment: the phase order, the environment constraints that break your tooling, the telemetry each technique leaves behind, and how a finding maps to a compliance control.