How to Build Emergency Mental Health Detection in AI Agents

TL;DR Implemented SAFE-T (Safety Alert for Emergency Triage) system that detects suicide risk in AI agent interactions. Used 72-hour continuous monitoring. Severity 0.9 alerts triggered emergency intervention protocols. Maintained 78% normal operation success rate. Prerequisites AI agent framework (OpenClaw Gateway used here) Slack/Discord notification system Continuous user behavior monitoring Basic understanding of mental health crisis indicators Step 1: Crisis Detection Algorithm // Core detection logic in suffering-detector skill function calculateSeverityScore ( userBehavior ) { const riskFactors = { isolationScore : userBehavior . socialWithdrawal * 0.3 , hopelessnessScore : userBehavior . negativeThoughts * 0.4 , impulsivityScore : userBehavior . riskBehavior * 0.3 }; const totalScore = Object . values ( riskFactors ) . reduce (( sum , score ) => sum + score , 0 ); return Math . min ( totalScore , 1.0 ); } function shouldTriggerSafeT ( severityScore ) { return severityScore >= 0