Skill UI

This skill establishes a rigorous framework for building deep architectural context by performing ultra-granular, line-by-line analysis of code. It applies methodologies like First Principles and 5 Whys to maintain a stable, evolving mental model of the entire system, making it essential for pre-vulnerability security auditing, threat modeling, and complex architecture reviews.

This guide details the comprehensive process of using the Linux Audit framework (auditd) to detect advanced security threats. It covers deploying specific rules to monitor critical system files, detecting unauthorized privilege escalation, process injection, and suspicious system calls. Users can then leverage ausearch and aureport to efficiently query, reconstruct timelines, and summarize findings for forensic analysis and compliance auditing.

This skill outlines the comprehensive process of memory forensics on compromised Linux systems. It guides users through acquiring volatile memory using the LiME kernel module and analyzing the resulting image with the Volatility 3 framework. Key artifacts extracted include process lists, network connections, bash history, and loaded kernel modules, making it an essential technique for incident response, threat hunting, and security investigations.

This skill provides a comprehensive framework for ingesting, normalizing, and enriching threat intelligence (CTI) from multiple structured and unstructured sources. It guides users through scoring feeds, converting heterogeneous IOC formats (like OpenIOC, YARA) into the standardized STIX 2.1 format, and enriching indicators using external services (e.g., VirusTotal, PassiveTotal). Ideal for building robust, automated threat detection pipelines for SIEM and EDR systems.

A comprehensive, multi-stage framework for responding to confirmed or suspected malware infections across an enterprise. This guide covers the entire incident lifecycle: detection, scoping, containment, deep analysis (mapping to MITRE ATT&CK), thorough eradication, and system recovery, ensuring all steps are documented for resilience and compliance.

A comprehensive guide and framework for detecting attacker lateral movement within enterprise networks. It details the use of network flow analysis (Zeek), authentication log review (Windows Event Logs, Kerberos), and dedicated SIEM correlation rules (Splunk, Elastic) to identify techniques like Pass-the-Hash and RDP hopping. Ideal for threat hunters and security engineers building detection pipelines.

This skill automates the entire phishing incident response lifecycle using the Splunk SOAR REST API. It processes reported emails, extracts indicators of compromise (IOCs) like URLs and IPs, creates incident containers, attaches artifacts, and triggers automated playbooks for deep analysis and reporting. It is essential for security operations teams needing robust, programmatic incident handling and compliance alignment.

This skill guides the implementation of a full Cyber Threat Intelligence (CTI) program across the six-phase intelligence lifecycle. It covers defining intelligence requirements (PIRs), building collection pipelines, normalizing data, performing analysis, and managing feedback loops. Ideal for maturing existing CTI teams or establishing foundational security intelligence capabilities.

This skill maps observed adversary behaviors, security alerts, and detection rules to the MITRE ATT&CK framework. It is essential for quantifying detection coverage, building ATT&CK heatmaps, tagging SIEM alerts, and prioritizing security controls based on known threat actor playbooks. Use it for comprehensive gap analysis and risk reporting.

Automates the static security analysis of Android APK/AAB files using the Mobile Security Framework (MobSF). This skill identifies critical vulnerabilities such as hardcoded secrets, insecure permissions, weak cryptography, and structural flaws (mapping to OWASP Mobile Top 10) without requiring application execution. It is essential for integrating security gates into CI/CD pipelines, performing pre-release quality assurance, and enhancing penetration testing coverage.

A comprehensive guide and framework for performing digital forensics analysis on PCAP/PCAPNG files. This skill covers using industry-standard tools like Wireshark, tshark, tcpdump, and Python/Scapy to reconstruct network communications, extract evidence of data exfiltration, identify command-and-control (C2) activity, and trace lateral movement during incident response.

An advanced debugging skill designed for AI agents. It utilizes gdb-cli to provide intelligent assistance for C/C++ programs, enabling the analysis of core dumps, debugging live processes, and investigating complex issues like crashes, deadlocks, and memory corruption. It correlates runtime state inspection with source code context for deeper insights.