Skill UI

This skill details the forensic analysis of Windows LNK shortcut files and Jump Lists. It enables investigators to reconstruct user activity, track file access, and determine program execution history by parsing critical metadata like timestamps, paths, and system identifiers, even when the original artifacts are deleted.

This skill guides users through parsing Windows Prefetch files (.pf) to establish a comprehensive program execution history. It extracts critical forensic data such as run counts, timestamps (up to 8 events), and referenced files. This is essential for incident response, malware investigation, and building a reliable timeline of activity on a compromised system.

This comprehensive forensic workflow guides investigators through the extraction and detailed analysis of Windows Registry hives (SAM, SYSTEM, SOFTWARE, etc.). It is used during incident response to uncover critical artifacts, including user activity history, malware persistence mechanisms (autorun keys), installed software records, and evidence of system compromise.

This guide outlines a comprehensive threat hunting methodology for detecting adversary lateral movement within a network environment. It utilizes Splunk SPL queries against rich Windows event data, including authentication logs (4624, 4625), SMB traffic, and Sysmon telemetry. By correlating source-to-destination activity and identifying unusual logon types (RDP, WinRM, SMB), users can proactively track an attacker's path after initial system compromise, fulfilling MITRE ATT&CK T1021 techniques.

A comprehensive guide and method for extracting and analyzing digital forensic artifacts from major web browsers, including Chrome, Firefox, and Edge. This process retrieves critical data such as web history, cookies, cached items, downloads, and bookmarks to reconstruct user web activity trails for deep cybersecurity and digital forensics investigations.

This skill implements the Diamond Model framework, providing a structured approach to analyzing complex cyber intrusions. It allows users to programmatically classify and correlate events based on four core elements: Adversary, Capability, Infrastructure, and Victim. Key functionalities include building activity threads, identifying pivot points, and generating comprehensive, pivot-ready threat intelligence reports.

This tool provides a comprehensive workflow for performing deep forensic investigations on AWS environments. By leveraging CloudTrail logs and programmatic access via boto3/Athena, users can reconstruct attacker activity, identify compromised credentials, analyze suspicious API call patterns, and generate detailed incident response reports.

This skill provides a comprehensive, multi-stage guide for investigating insider threats. It covers the entire lifecycle, from receiving an allegation and ensuring legal authorization, to covert evidence collection (DLP logs, endpoint forensics), advanced user behavior pattern analysis, and reconstructing a detailed activity timeline for potential legal action. Essential for security incident response.

This comprehensive guide details how to perform deep forensic analysis on various Linux system logs (auth.log, syslog, systemd journal, audit.log). It teaches methods to reconstruct user activity, identify unauthorized access attempts, trace privilege escalation, and establish comprehensive event timelines following a security incident or during a security audit.

This skill performs User and Entity Behavior Analytics (UEBA) to identify anomalous user activities such as impossible travel, unusual access patterns, and privilege abuse. It establishes behavioral baselines using SIEM logs and statistical analysis, helping SOC teams detect insider threats and compromised accounts by flagging deviations from normal user behavior. Use when monitoring security hygiene and suspicious activity is critical.

Command-line wrapper around the Google Workspace Admin SDK that fetches audit logs, activity streams, and usage reports (customer, entity, user) for administrators, with schema inspection helpers to craft --params and --json flags.

Automate Amplitude product analytics by orchestrating Composio's Rube MCP toolkit to send events, resolve user activity, manage cohorts, and sync identities while always querying RUBE_SEARCH_TOOLS for current schemas.