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Simulates adversarial attacks & vulnerabilities to strengthen security posture by identifying weaknesses and improving defenses proactively.

This AI leverages the Metasploit Framework for simulating attacks and vulnerability assessments, aiding in security testing and research.

Pufferlib allows you to easily generate and deploy sophisticated payloads for vulnerability assessments and penetration testing, streamlining security workflows.

Intelligent skill discovery for AI agents. Find quality-validated skills that match your project with smart recommendations, maintenance tracking, and security scanning.

Automated code review for pull requests using specialized review patterns. Analyzes code for quality, security, performance, and best practices. Use when reviewing code changes, PRs, or doing code aud

Provides security guidance and assistance for software development workflows.

Preflight security scanner for AI coding agents — scans deployment config, skills/MCP servers, memory/sessions, and AI agent config files (hooks injection) for secrets, PII, prompt injection, and dangerous patterns. Runs 4 model behavior probes (persuasion, sandbagging, deception, hallucination). Supports LLM-enhanced semantic analysis. Works with OpenClaw, Claude Code, Cursor, and Codex. Use when a user asks for a security audit, health check, or wants to scan their AI agent setup for vulnerabilities.