Skill UI

This framework provides structured templates for managing communications during malware incidents. It generates tailored reports for various stakeholders, including C-level executives, technical IT teams, and regulatory bodies. The system accounts for severity levels (P1-P4) and different threat types, ensuring consistent, timely, and compliant information dissemination during a crisis.

This skill provides a systematic methodology for building comprehensive threat actor profiles using Open-Source Intelligence (OSINT). It involves gathering, correlating, and analyzing publicly available data from diverse sources (e.g., vendor reports, dark web forums, code repositories). Users can map adversary TTPs to MITRE ATT&CK, assess motivations, and build structured dossiers for proactive defensive strategies and attribution assessments.

A robust framework for orchestrating complex, multi-step coding tasks using multiple AI agents. It functions by first planning the entire project into a mission dependency graph (DAG), then dispatching specialized agents to isolated Git worktrees for parallel development. The system automatically monitors progress, handles merges, and generates structured, comprehensive reports detailing changes, completed tasks, and next steps.

This skill correlates disparate security incidents, Indicators of Compromise (IOCs), and adversary behaviors across time and organizations. It systematically identifies unified threat campaigns, attributes them to common threat actors, and extracts shared indicators for significantly improved detection capabilities. Ideal for cross-organizational threat intelligence sharing and building comprehensive campaign reports.

This skill analyzes network logs, including proxy access logs, DNS query logs, and netflow data, to detect unauthorized Software as a Service (SaaS) applications and cloud services (Shadow IT). It classifies domains against known catalogs, measures data exfiltration volumes, calculates risk scores, and generates comprehensive reports for security and compliance teams.

This tool analyzes Web Application Firewall (WAF) logs (ModSecurity, AWS WAF, Cloudflare) to detect sophisticated SQL injection attack campaigns. It parses diverse log formats, identifies common SQLi payloads (UNION SELECT, OR 1=1), correlates multi-stage attacks, tracks source IPs, and generates detailed incident reports classified by OWASP standards for SOC analysts and security researchers.

This skill provides a comprehensive workflow to extract Indicators of Compromise (IOCs) from malware samples and analysis reports. It covers file hashes (SHA256, MD5), network artifacts (IPs, domains, URLs from strings and PCAPs), and host-based indicators (registry keys, file paths, mutexes) from sandbox reports. It is essential for threat intelligence sharing, building blocklists, and creating detection signatures (YARA, Snort).

This skill guides the creation of high-quality, finished cyber threat intelligence reports. It tails content for specific audiences—from C-suite executives (strategic risk) to SOC analysts (tactical IOCs). Use it when synthesizing raw data into actionable intelligence products, generating threat briefings, or conducting post-incident assessments, ensuring adherence to industry standards like TLP and NIST.

This skill utilizes the Thinkst Canary REST API to programmatically deploy various decoy tokens, including web bugs, DNS records, MS Word documents, and AWS API keys. By monitoring these fake resources, the system detects unauthorized internal or external access attempts, providing early warnings and generating detailed deception coverage reports to strengthen security architecture.

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 skill guides the implementation of File Integrity Monitoring (FIM) using AIDE (Advanced Intrusion Detection Environment). It covers setting up AIDE configurations, creating initial baselines, performing scheduled integrity checks, and parsing detailed change reports. This is essential for maintaining strong security controls, meeting compliance requirements, and detecting unauthorized system modifications on Linux environments.

Automate comprehensive vulnerability management by deploying and operating Greenbone/OpenVAS. This skill guides the use of the python-gvm library to programmatically manage the entire scanning lifecycle: creating scan targets, executing complex vulnerability scans via the Greenbone Management Protocol (GMP), monitoring progress, and parsing detailed XML reports into actionable JSON findings. Ideal for security assessments and compliance checks.