What problem does it solve? When a security alert fires, teams must quickly decide whether it is a real incident, how severe it is, who to escalate to, and what evidence to preserve — all while regulatory notification clocks (GDPR 72 hours, PCI 24 hours) are already ticking. This Skill standardizes that triage so incidents are classified consistently, false positives are filtered before paging leadership, and forensic evidence is collected in the correct order. ## Core Features & Use Cases - Automated incident triage: The incident_triage.py script classifies JSON security events into 14 incident types (ransomware, data exfiltration, credential compromise, etc.), maps them to MITRE ATT&CK techniques, and assigns SEV1-SEV4 severity with exit codes that signal response urgency. - False positive filtering and escalation routing: Five filter categories (CI/CD agents, test environments, scanners, batch jobs, whitelisted identities) suppress noise, while escalation triggers (ransomware note, exfiltration confirmed, domain controller access) automatically raise severity and route to the correct responders. - Forensic and regulatory guidance: DFRWS six-phase evidence collection with chain-of-custody requirements, plus a reference table of notification deadlines for GDPR, PCI-DSS, HIPAA, NY DFS, SEC, CCPA, NIS2, DORA, and more. - Use Case: A SIEM alert indicates possible ransomware on a production file server. Pipe the event JSON into the triage script with false-positive checking; it returns SEV1 classification, MITRE technique T1486, a 15-minute response SLA, war-room escalation to the CISO, and the volatile evidence collection steps to start immediately. ## Quick Start Ask the AI to triage a security event by running the incident triage script against your alert JSON with classification and false-positive checking enabled, then follow the returned severity, escalation path, and forensic steps.