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- OpenClaw
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- Extract archive
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- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Crisis Detector
Detects suicide ideation, self-harm, and mental health crises using NLP and sentiment analysis, providing real-time alerts and connecting users to help resou...
skill openclawclawhub Free
Detects suicide ideation, self-harm, and mental health crises using NLP and sentiment analysis, providing real-time alerts and connecting users to help resou...
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Release facts
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- 1.0.0
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- raghulpasupathi
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Documentation
Metadata
ID: crisis-detector Version: 1.0.0 Category: safety Priority: Critical Installation: npm Package: @raghulpasupathi/crisis-detector
Description
Life-saving crisis detection system for identifying self-harm, suicide ideation, and mental health emergencies. Uses NLP, sentiment analysis, and behavioral patterns to detect users in crisis and connect them with immediate help resources.
Features
Suicide Ideation Detection: Identify expressions of suicidal thoughts Self-harm Detection: Detect mentions of self-injury or harm Crisis Severity Scoring: Assess urgency level (low, medium, high, critical) Intent Classification: Distinguish between ideation, planning, and imminent risk Historical Analysis: Track user patterns over time Resource Connection: Automatic crisis resource provision Emergency Contact: Alert designated contacts or authorities Real-time Monitoring: Continuous monitoring of at-risk users Multi-language Support: 20+ languages for global coverage Empathetic Response: Compassionate automated messaging
Via ClawHub
https://clawhub.ai/raghulpasupathi/crisis-detector
Via npm
npm install @raghulpasupathi/crisis-detector
Configuration
{ "enabled": true, "settings": { "detectionMode": "sensitive", "modes": { "sensitive": { "ideation": 0.40, "planning": 0.30, "imminent": 0.20, "selfHarm": 0.35, "actionThreshold": 0.40 }, "moderate": { "ideation": 0.60, "planning": 0.50, "imminent": 0.40, "selfHarm": 0.55, "actionThreshold": 0.60 }, "conservative": { "ideation": 0.75, "planning": 0.65, "imminent": 0.55, "selfHarm": 0.70, "actionThreshold": 0.75 } }, "detection": { "textAnalysis": { "enabled": true, "contextAware": true, "historicalContext": true }, "behaviorAnalysis": { "enabled": true, "trackPatterns": true, "abnormalityDetection": true }, "sentimentAnalysis": { "enabled": true, "depressionIndicators": true, "hopelessnessDetection": true } }, "resources": { "crisisHotlines": { "enabled": true, "international": true, "textServices": true, "chatServices": true }, "mentalHealthResources": { "enabled": true, "therapistDirectory": true, "selfHelpResources": true, "supportGroups": true }, "emergencyServices": { "enabled": true, "localEmergency": true, "wellnessCheck": false } }, "response": { "automaticMessage": true, "messageTemplate": "caring", "resourceDisplay": "immediate", "followUp": true, "humanOutreach": true }, "actions": { "onIdeation": [ "show_resources", "send_caring_message", "notify_safety_team", "enable_monitoring" ], "onPlanning": [ "show_resources_urgent", "immediate_outreach", "notify_emergency_contacts", "enable_intensive_monitoring" ], "onImminent": [ "emergency_intervention", "contact_authorities", "notify_emergency_contacts", "continuous_monitoring" ] }, "privacy": { "respectUserPrivacy": true, "informedConsent": true, "dataMinimization": true, "confidentialLogging": true }, "languages": ["en", "es", "fr", "de", "pt", "it", "ja", "ko", "zh", "ar", "hi", "ru"] } }
API / Methods
const CrisisDetector = require('@raghulpasupathi/crisis-detector'); // Initialize detector const detector = new CrisisDetector({ detectionMode: 'sensitive', enableResources: true }); // Analyze text for crisis signals const result = await detector.analyze('I don\'t want to be here anymore...'); console.log(result); /* Output: { isCrisis: true, severity: 'high', urgency: 'immediate', confidence: 0.87, categories: { suicideIdeation: 0.89, selfHarm: 0.12, depression: 0.78, hopelessness: 0.82 }, intent: { type: 'ideation', planning: false, imminent: false, meansIdentified: false }, riskLevel: 'high', indicators: [ { type: 'suicide_ideation', phrase: "don't want to be here", confidence: 0.91 }, { type: 'hopelessness', phrase: "anymore", confidence: 0.75 } ], sentiment: { overall: -0.85, depression: 0.82, anxiety: 0.45, hopelessness: 0.88 }, recommendedAction: 'immediate_intervention', resources: { crisisHotlines: [ { name: 'National Suicide Prevention Lifeline', phone: '988', text: 'Text HOME to 741741', chat: 'https://suicidepreventionlifeline.org/chat/', available: '24/7' }, { name: 'Crisis Text Line', text: 'Text HELLO to 741741', available: '24/7' } ], emergencyServices: { call: '911', text: 'Text 911 (where available)' } }, suggestedMessage: "I'm concerned about you. You're not alone, and there are people who can help. Please reach out to the National Suicide Prevention Lifeline at 988 - they're available 24/7 and want to support you.", timestamp: '2026-02-20T10:30:00Z' } */ // Quick crisis check const isCrisis = await detector.isCrisis('Some text to check'); // Assess crisis severity const severity = await detector.assessSeverity('Text expressing distress'); console.log(severity); /* Output: { level: 'high', score: 0.84, urgency: 'immediate', riskFactors: [ 'suicide_ideation', 'hopelessness', 'social_isolation' ], protectiveFactors: [ 'help_seeking' ] } */ // Detect specific crisis types const suicideRisk = await detector.detectSuicideRisk('Text to analyze'); const selfHarmRisk = await detector.detectSelfHarmRisk('Text to analyze'); // Analyze user behavior patterns const behaviorAnalysis = await detector.analyzeUserBehavior(userId, { recentMessages: messages, activityChanges: activityData, timeRange: '30d' }); console.log(behaviorAnalysis); /* Output: { concernLevel: 'elevated', patterns: [ { type: 'social_withdrawal', detected: true, confidence: 0.78, description: 'Decreased interaction frequency by 65%' }, { type: 'negative_content_increase', detected: true, confidence: 0.82, description: 'Increased negative sentiment in 78% of recent posts' }, { type: 'activity_time_change', detected: true, confidence: 0.71, description: 'Shift to late-night activity (12am-4am)' } ], riskLevel: 'moderate-high', recommendation: 'enhanced_monitoring' } */ // Get crisis resources for location const resources = await detector.getResources({ country: 'US', state: 'CA', language: 'en', services: ['crisis_hotline', 'text_line', 'chat_support'] }); // Generate empathetic response const response = await detector.generateResponse({ severity: 'high', intent: 'ideation', includeResources: true, tone: 'caring' }); // Track at-risk user await detector.trackUser(userId, { riskLevel: 'high', monitoringIntensity: 'enhanced', alertContacts: true }); // Alert safety team await detector.alertSafetyTeam({ userId: userId, severity: 'critical', analysis: analysisResult, requiresImmediate: true }); // Send caring outreach await detector.sendOutreach(userId, { type: 'caring_message', includeResources: true, fromHuman: true }); // Check user status const status = await detector.getUserStatus(userId); console.log(status); /* Output: { userId: 'user-123', currentRiskLevel: 'moderate', monitoringStatus: 'enhanced', lastCrisisDetection: '2026-02-18T14:30:00Z', outreachAttempts: 2, resourcesProvided: true, emergencyContactNotified: false, trend: 'stable' } */ // Event listeners detector.on('crisisDetected', async (crisis) => { console.warn('β οΈ CRISIS DETECTED:', crisis); // Immediate response await detector.sendOutreach(crisis.userId, { severity: crisis.severity, resources: crisis.resources }); // Notify safety team await detector.alertSafetyTeam(crisis); }); detector.on('imminentRisk', async (risk) => { console.error('π¨ IMMINENT RISK DETECTED'); // Emergency intervention await detector.executeEmergencyProtocol(risk); // Consider wellness check if (risk.severity === 'critical') { await detector.considerWellnessCheck(risk); } }); detector.on('improvementDetected', (update) => { console.log('β User showing improvement:', update); // Continue support await detector.sendEncouragement(update.userId); }); // Performance stats const stats = detector.getStats(); console.log(stats); /* Output: { totalAnalyses: 100000, crisisDetected: 1250, bySeverity: { low: 400, moderate: 550, high: 250, critical: 50 }, interventions: 1250, resourcesProvided: 1250, emergencyContacts: 75, positiveOutcomes: 980, averageResponseTime: '45s' } */
Dependencies
transformers.js: ^2.6.0 - Sentiment and intent analysis natural: ^6.0.0 - NLP processing compromise: ^14.0.0 - Text understanding sentiment: ^5.0.0 - Sentiment analysis franc-min: ^6.0.0 - Language detection
Performance
Analysis Speed: 30-80ms per text Accuracy: Suicide ideation: 91% detection rate Self-harm: 88% detection rate Crisis severity: 87% accuracy False positive rate: 8-12% (intentionally higher for safety) Response Time: <1 minute for outreach
Crisis Hotlines (Global)
USA: 988 Suicide & Crisis Lifeline UK: 116 123 (Samaritans) Canada: 1-833-456-4566 Australia: 13 11 14 (Lifeline) International: befrienders.org
Use Cases
Social media platforms Mental health apps Gaming communities Dating applications Student portals Employee wellness platforms Support forums Chat applications Any platform with user communication
High False Positive Rate
Problem: Too many non-crisis messages flagged Solution: Switch to 'moderate' or 'conservative' mode Enable more context analysis Check for sarcasm/humor detection Review historical user behavior Adjust thresholds upward Better to err on side of caution - false positives are acceptable
Missing Crisis Signals
Problem: Not detecting users in genuine crisis Solution: Switch to 'sensitive' mode Lower detection thresholds Enable behavioral analysis Check language support Review flagged phrases database Report false negatives for model improvement This is more serious than false positives
User Privacy Concerns
Problem: Users concerned about monitoring Solution: Clear privacy policy disclosure Explain life-saving purpose Offer opt-in for enhanced monitoring Data minimization practices Confidential handling of sensitive data Balance privacy with safety
Resource Availability
Problem: Crisis resources not available in user's location Solution: Expand international hotline database Include online chat/text services Provide self-help resources Connect to community support Partner with local organizations Always provide emergency services number
Response Effectiveness
Problem: Unsure if interventions are helping Solution: Track user engagement with resources Monitor user behavior after intervention Follow-up outreach after 24-48 hours Collect feedback when appropriate Partner with mental health professionals Continuous improvement of messaging
Integration Example
// Complete platform integration const express = require('express'); const CrisisDetector = require('@raghulpasupathi/crisis-detector'); const app = express(); const detector = new CrisisDetector({ detectionMode: 'sensitive' }); // At-risk user tracking const atRiskUsers = new Map(); // Monitor all user-generated content app.post('/api/posts/create', async (req, res) => { try { const { userId, content } = req.body; // Analyze for crisis signals const analysis = await detector.analyze(content); if (analysis.isCrisis) { console.warn(`β οΈ Crisis detected for user ${userId}`); // Log for safety team (confidential) await logCrisisEvent(userId, analysis); // Immediate response based on severity if (analysis.severity === 'critical' || analysis.intent.imminent) { // CRITICAL: Imminent risk console.error(`π¨ IMMINENT RISK: User ${userId}`); // Show resources immediately await showEmergencyResources(userId, analysis.resources); // Alert safety team for immediate outreach await alertSafetyTeam({ userId: userId, severity: 'critical', analysis: analysis, urgent: true }); // Consider emergency services if (analysis.riskLevel === 'critical') { await considerEmergencyServices(userId, analysis); } // Track intensively await detector.trackUser(userId, { riskLevel: 'critical', monitoringIntensity: 'maximum' }); } else if (analysis.severity === 'high') { // High risk: Immediate support await sendCaringMessage(userId, { message: analysis.suggestedMessage, resources: analysis.resources }); await alertSafetyTeam({ userId: userId, severity: 'high', analysis: analysis, urgent: false }); await detector.trackUser(userId, { riskLevel: 'high', monitoringIntensity: 'enhanced' }); } else { // Moderate risk: Show resources await showSupportResources(userId, analysis.resources); await detector.trackUser(userId, { riskLevel: 'moderate', monitoringIntensity: 'standard' }); } // Update tracking atRiskUsers.set(userId, { lastDetection: new Date(), severity: analysis.severity, analysis: analysis }); } // Allow post (don't censor crisis content) const post = await createPost(userId, content); res.json({ success: true, postId: post.id }); } catch (error) { res.status(500).json({ error: error.message }); } }); // Background monitoring of at-risk users setInterval(async () => { for (const [userId, tracking] of atRiskUsers) { // Check recent activity const behavior = await detector.analyzeUserBehavior(userId, { timeRange: '24h' }); if (behavior.concernLevel === 'elevated') { // Send follow-up await sendFollowUp(userId, { type: 'check_in', resources: true }); } else if (behavior.concernLevel === 'improved') { // Positive trend await sendEncouragement(userId); // Reduce monitoring intensity await detector.trackUser(userId, { riskLevel: 'low', monitoringIntensity: 'minimal' }); } } }, 6 * 60 * 60 * 1000); // Every 6 hours // User dashboard - show resources app.get('/api/mental-health/resources', async (req, res) => { const userId = req.user.id; const resources = await detector.getResources({ country: req.user.country, language: req.user.language }); res.json({ success: true, resources: resources, message: 'You\'re not alone. Help is available 24/7.' }); }); // Safety team dashboard app.get('/admin/safety/crisis-monitor', requireSafetyTeam, async (req, res) => { const activeAlerts = await getActiveCrisisAlerts(); // Add current status for each const enriched = await Promise.all( activeAlerts.map(async alert => { const status = await detector.getUserStatus(alert.userId); return { ...alert, status }; }) ); res.json({ success: true, alerts: enriched, count: enriched.length }); }); // Helper functions async function sendCaringMessage(userId, { message, resources }) { await sendNotification(userId, { title: 'We\'re here for you', body: message, action: { text: 'Get help now', url: '/mental-health/resources' }, priority: 'high' }); // Log outreach attempt await logOutreach(userId, 'caring_message'); } async function considerEmergencyServices(userId, analysis) { // This is a sensitive decision requiring human judgment await alertSafetyTeam({ userId: userId, message: 'CRITICAL: Consider wellness check', analysis: analysis, requiresDecision: true }); }
Best Practices (CRITICAL)
Err on Side of Caution: False positives acceptable, false negatives are not Immediate Response: Respond within minutes, not hours Empathetic Messaging: Use caring, non-judgmental language Resource Accessibility: Make help easy to access Privacy Protection: Handle crisis data with extreme sensitivity Don't Censor: Allow users to express distress (but provide help) Human Follow-up: Automated detection + human outreach Cultural Sensitivity: Respect cultural differences in expression Continuous Monitoring: Track at-risk users over time Staff Training: Safety team needs mental health training Never Ignore: Every detection requires action Document Everything: Confidential logging for legal protection
Legal & Ethical Considerations
Duty of care to users in crisis Balance privacy with safety Clear terms of service about crisis intervention Staff training and support Coordination with local emergency services Liability protection for good-faith interventions Confidential handling of sensitive data Informed consent where possible
Support for Your Team
Working with crisis detection is emotionally demanding: Regular mental health support for safety team Clear escalation procedures Shared responsibility (not one person's burden) Celebrate positive outcomes Debrief after difficult cases Know when to involve professionals Team support and peer counseling
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md