Skill UI

This skill provides comprehensive methods for collecting and synthesizing Open-Source Intelligence (OSINT) regarding threat actors, malicious infrastructure, and attack campaigns. It utilizes public data sources, passive reconnaissance tools (like WHOIS, Certificate Transparency), and specialized platforms (Maltego, Shodan, SpiderFoot) to map adversary context and perform pre-engagement intelligence gathering for authorized red team assessments. Emphasis is placed on passive collection techniques to ensure legality and operational security.

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.

Build a production-ready, AI-powered data collection agent for any public source (job boards, prices, news, etc.). This agent automatically scrapes data, enriches it using free LLMs (like Gemini Flash), and stores the results in databases such as Notion, Sheets, or Supabase. It runs on a free schedule using GitHub Actions and learns from user feedback, making it ideal for continuous data monitoring and tracking.

A comprehensive guide for implementing a highly secure and reliable centralized logging pipeline using rsyslog. This method utilizes TLS encryption via X.509 certificate authentication and GnuTLS stream drivers, ensuring all log data is securely transmitted. The guide covers per-host log segregation, robust log rotation, and disk-assisted queueing for high-availability log infrastructure, making it ideal for compliance and security operations.

Learn how to deploy and configure a TAXII 2.1 server using OpenTAXII and Medallion. This guide covers publishing STIX 2.1 bundles, managing collections for various threat feeds, and integrating the resulting data stream with SIEM/SOAR platforms to automate the exchange of cyber indicators between organizations.

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.

Utilize Velociraptor, an advanced open-source platform, to collect, query, and monitor forensic artifacts across diverse endpoints (Windows, Linux, macOS). This skill enables incident response teams to perform large-scale, rapid digital forensic investigations by collecting critical data such as event logs, registry entries, prefetch files, and network metadata using VQL queries.

This skill guides the end-to-end management of the Cyber Threat Intelligence (CTI) lifecycle. It covers defining Priority Intelligence Requirements (PIRs), planning data collection, processing data, performing multi-level analysis (Strategic, Operational, Tactical), disseminating tailored reports, and establishing continuous feedback loops to ensure intelligence relevance and maturity.

This guide outlines the process for forensically acquiring digital evidence from major cloud storage services, including Google Drive, OneDrive, Dropbox, and Box. The method combines API-based remote data extraction (such as audit logs and revision histories) with the collection of local endpoint sync-client artifacts. It is essential for conducting thorough incident response, security assessments, and e-discovery investigations involving cloud-synced data.

This skill guides comprehensive digital forensics investigations on compromised endpoints. It covers evidence collection (memory acquisition, disk imaging) and deep artifact analysis, including volatile data, MFT records, and prefetch files. Use it for incident response, legal evidence collection, and determining the scope of a breach by reconstructing attacker timelines.

Automate Open Source Intelligence (OSINT) collection and target profiling using the SpiderFoot REST API and CLI. This tool leverages over 200 modules to map an organization's attack surface, collecting structured data including domains, IPs, email addresses, leaked credentials, and DNS records. Ideal for conducting comprehensive security assessments, threat intelligence gathering, and incident response procedures.

Skill for implementing Firebase Crashlytics in Flutter apps. Covers fatal/non-fatal error capture, async and isolate exceptions, crash customization with keys/logs/user IDs, symbol upload, opt-in data collection, and debug build disables.