Skill UI

This comprehensive runbook guides incident response for Groq API failures. It covers triage steps, severity classification (P1-P4), troubleshooting decision trees (e.g., handling 429 errors or 5xx outages), and implementing immediate mitigations like model fallback or key rotation. Use this when responding to Groq outages to restore service stability.

Delivers repository-grounded AppSec threat models that map components, boundaries, assets, entry points, and attacker capabilities to abuse paths, along with prioritized mitigations tailored to codebase evidence and explicit assumptions.

This central skill specializes in performing comprehensive threat modeling using STRIDE and calculating risk via DREAD scoring. It guides users through defining scope, identifying threats, and planning mitigations for new architectures. Crucially, it acts as a security router, directing specialized requests—such as pen-testing, incident response, cloud posture checks, and AI security reviews—to the appropriate dedicated skill.

A comprehensive toolkit for analyzing ELF binaries to locate memory-corruption vulnerabilities, such as buffer overflows and ROP chains. This skill is vital for authorized penetration testing and CTF challenges, allowing users to evaluate compiler mitigations (ASLR, NX, Canary, PIE) and develop robust proof-of-concept exploits.

This skill guides users through performing comprehensive threat modeling using the OWASP Threat Dragon tool. It covers creating Data Flow Diagrams (DFD), identifying vulnerabilities using established methodologies like STRIDE and LINDDUN, defining mitigations, and generating formal PDF reports. Ideal for secure design reviews, architecture validation, and achieving GRC compliance.

Act as a constructive critic and rigorous stress-tester for any idea, proposal, or strategy. This mode systematically challenges underlying assumptions, identifies technical and market edge cases, anticipates diverse stakeholder objections (engineering, leadership, legal), and suggests actionable mitigations. Use it when you need a multi-faceted, robust evaluation to strengthen your plan before committing resources.

A comprehensive reference and bypass catalog covering modern operating system kernel mitigations such as KASLR, SMAP, SMEP, KPTI, DEP/NX, and CFI. It details how these security mechanisms function, how to detect their presence, and advanced bypass techniques (e.g., side-channel attacks, ROP chains, information leaks). This skill is essential for security professionals conducting deep penetration testing, exploit development, and target hardening assessments.

This advanced skill explores offensive reconnaissance techniques focused on defeating modern operating system security boundaries and mitigations. Topics include kernel/user boundary manipulation, sandbox escapes (AppContainer, LPAC), COM/RPC boundary exploitation, hypervisor interactions, and various integrity level bypassing methods. It is essential for planning advanced privilege escalation paths and understanding deep Windows security architecture, including AMSI, WDAC, and ETW manipulation.

This skill provides a deep dive into modern Windows exploit mitigations, including ASLR, DEP/NX, CFG, and CET. It covers how these core protections work, techniques for detecting them, and advanced methodologies for analyzing bypass strategies. It is essential reading for security researchers and penetration testers planning advanced exploitation chains against modern operating systems.

An expert playbook detailing advanced techniques for Linux kernel exploitation. Covers vulnerability classes (UAF, OOB, Race Condition), building primitives, bypassing modern mitigations (KASLR, SMEP, SMAP, KPTI), and achieving root privilege escalation via functions like commit_creds or modprobe_path overwrite. Essential for CTF and advanced security research.

This expert playbook details advanced techniques for exploiting stack-based vulnerabilities, including classic buffer overflows, Return-Oriented Programming (ROP), ret2libc, and specialized gadgets like ret2csu and SROP. It provides comprehensive guidance on bypassing modern memory mitigations (NX, ASLR, PIE) to hijack program control flow and achieve reliable remote code execution in userland binaries.

Conducts a comprehensive, structured ethical review for any AI or ML model, feature, or product. It assesses risks related to fairness, bias, transparency, privacy, and societal impact, providing a risk tier score, necessary mitigations, and governance documentation suitable for pre-deployment compliance.