Skill UI

This skill outlines a comprehensive, multi-agent orchestration workflow designed for sophisticated production issue resolution. It systematically combines AI code assistants, observability platforms (like Sentry/DataDog), and automated techniques (e.g., git bisect, distributed tracing) into a rigorous four-phase process: Issue Analysis, Root Cause Investigation, Fix Implementation, and Verification. It guides best practices for reducing Mean Time To Recovery (MTTR) and improving system resilience in complex, multi-system environments.

This guide provides a deep, investigation-driven methodology for reviewing Django and Django REST Framework (DRF) codebases. It helps identify critical authorization gaps, focusing on Insecure Direct Object References (IDOR) and object-level access failures. Learn how to trace data flows, analyze custom managers, and verify that users can only access resources they are explicitly authorized to view or modify.

Yara Authoring helps security teams write precise YARA rules for threat detection and malware hunting by guiding string/tag management and metadata handling so signature creation keeps pace with investigations.

Hindsight is an open-source tool designed for digital forensics, parsing artifacts from various Chromium-based browsers (Chrome, Edge, Brave, etc.). It extracts and correlates all web activity data, including browsing history, cookies, cached content, downloads, and saved credentials, into a unified timeline. This tool is essential for incident response, insider threat investigations, and reconstructing user web activity in security and legal contexts.

Perform comprehensive digital forensic analysis on raw (dd), E01, or AFF disk images using industry-standard tools like Autopsy and The Sleuth Kit. This process allows investigators to recover deleted files, examine file system metadata, search for specific keywords, and build detailed investigation timelines. It is essential for generating structured reports from digital evidence in legal and cybersecurity investigations.

This tool analyzes network packet captures (PCAP) to detect covert communication channels used by malware for Command and Control (C2) and data exfiltration. It specifically focuses on identifying indicators of DNS tunneling, ICMP tunneling, and protocol abuse patterns, providing scoring and detailed reasons for suspicious activity. Useful for threat hunting and security incident investigation.

A comprehensive toolset for digital forensics investigators, enabling the parsing of proprietary Microsoft Outlook PST and OST files. It extracts critical evidence including full message content, detailed email headers (for message routing/tracing), attachments, and deleted items from the Recoverable Items folder. Essential for e-discovery, legal investigations, and security incident response to reconstruct communication patterns and analyze message metadata.

Timesketch is a powerful, open-source tool for security teams to build collaborative forensic timelines. It ingests, normalizes, and analyzes multi-source event data—including logs, artifacts, and Plaso outputs—to reconstruct complex attack chains and document incident investigations. Ideal for joint analysis and deep dive DFIR work.

This framework defines a comprehensive, context-driven matrix for managing security incidents within a Security Operations Center (SOC). It details tiered escalation paths, response Service Level Agreements (SLAs), and notification procedures based not only on severity (P1-P4) but also on business risk, asset criticality, and data sensitivity. It guides analysts through triage, investigation, and timely escalation to management (CISO/Legal) to ensure rapid containment and appropriate organizational response during a breach.

A comprehensive guide for collecting volatile forensic evidence from a compromised host while adhering to the order of volatility. This process captures critical data—including memory dumps, network connections, running processes, and system state—before the host is isolated or powered down. Essential for root cause analysis, fileless malware investigation, and maintaining a defensible chain of custody for legal proceedings.

This skill guides the advanced configuration of Windows Event Logging using Group Policy Objects (GPO) and advanced audit policies. It enables high-fidelity logging for critical security events, including process creation (Event 4688), logon/logoff activities, and object access. The process covers optimizing log sizes and implementing Windows Event Forwarding (WEF) to centralize data into SIEM platforms for effective threat detection and forensic investigation.

This skill guides SOC analysts and detection engineers on how to correlate complex, multi-stage attacks within the IBM QRadar SIEM platform. It covers advanced usage of AQL (Ariel Query Language) for deep event investigation, building custom correlation rules (Building Blocks and Offenses), and cross-source data correlation (e.g., auth failures with network flows). It is essential for reducing false positives and improving threat detection accuracy.