Skill UI

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.

Utilizes ScoutSuite, an open-source multi-cloud auditing tool, to perform comprehensive, agentless security posture assessments across AWS accounts. It queries various AWS APIs to enumerate all resources, identify misconfigurations (such as publicly exposed S3 buckets or weak IAM policies), and generate detailed, actionable HTML reports for compliance and security auditing.

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.

A comprehensive guide for cybersecurity professionals detailing the process of collecting, parsing, and correlating system, application, and security logs (Windows EVTX, Linux syslog, web logs). It helps reconstruct event timelines, identify breach activity, and establish evidence for forensic reports.

This skill leverages the VirusTotal API to perform comprehensive threat intelligence enrichment on file hashes (MD5, SHA-1, SHA-256). It retrieves detection rates from 70+ AV engines, behavioral sandbox reports, associated indicators of compromise (IOCs), and contextual threat data. Use this tool for rapid SOC triage, accurate incident response validation, and enhancing threat hunting workflows.

This skill utilizes the SpiderFoot REST API and CLI to automate Open-Source Intelligence (OSINT) collection. It performs comprehensive target profiling, reconnaissance, and attack surface mapping across 200+ data sources. Users can select specialized modules (e.g., footprint, investigate) to analyze domains, IPs, and credentials, generating structured intelligence reports essential for security assessments, incident response, and threat intelligence gathering.

This skill provides a comprehensive automation solution for conducting red team phishing simulations using the Python gophish library. It streamlines the entire campaign lifecycle, including creating sophisticated email templates with tracking pixels, configuring SMTP profiles, importing user groups from CSV, launching targeted attacks, and generating detailed reports on open rates, click-through rates, and credential submission statistics for robust security awareness assessments.

OWASP Threat Dragon is an open-source tool designed for security professionals and developers. It guides users through creating detailed data flow diagrams (DFD) to map system architecture. The framework enables the systematic identification of vulnerabilities by applying established methodologies like STRIDE and LINDDUN, culminating in comprehensive, compliance-ready threat model reports.

This comprehensive guide details advanced network reconnaissance using Nmap's full capabilities. It covers sophisticated host discovery across multiple protocols, deep port scanning with timing and performance tuning, accurate service version enumeration, and OS fingerprinting. Furthermore, it teaches advanced techniques like firewall evasion (fragmentation, spoofing) and running NSE scripts for systematic vulnerability detection, crucial for authorized security assessment reports.

Orchestrates WCAG 2.2 Level A/AA scans, fixes, and verifications across React, Next.js, Vue, Angular, Svelte, and plain HTML codebases, producing before/after diffs, contrast checks, compliance reports, and CI/CD-ready hooks.

Provides a structured workflow for performing initial triage of security incidents. This process uses established frameworks (NIST SP 800-61r3 and SANS PICERL) to classify the incident type, assign severity based on business impact, and determine the necessary containment and escalation steps. Ideal for analyzing SIEM/EDR alerts, suspicious user reports, or matching threat intelligence.

Handles IMO/Putnam/USAMO/AIME style problems by generating refined proofs, then running a fresh-context adversarial verifier to catch flaws, finally producing honest confidence reports and verified PDFs when possible.