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- OpenClaw
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- Extract archive
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- Primary doc
- SKILL.md
Tencent SkillHub ยท Productivity
Csam Shield
Detects, blocks, and reports Child Sexual Abuse Material using AI-driven image, video, and behavior analysis with automatic NCMEC reporting and evidence pres...
skill openclawclawhub Free
Detects, blocks, and reports Child Sexual Abuse Material using AI-driven image, video, and behavior analysis with automatic NCMEC reporting and evidence pres...
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Trust & source
Release facts
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- Tencent SkillHub
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- Version
- 1.0.0
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- raghulpasupathi
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Documentation
Metadata
ID: csam-shield Version: 1.0.0 Category: safety Priority: CRITICAL Installation: npm Package: @raghulpasupathi/csam-shield
Description
CRITICAL SAFETY SYSTEM for detecting and preventing Child Sexual Abuse Material (CSAM). Uses advanced computer vision, hash matching, age estimation, and behavior analysis to identify illegal content. Includes automatic NCMEC reporting, law enforcement coordination, and evidence preservation.
โ ๏ธ CRITICAL WARNING
This skill handles the most serious form of online abuse. Implementation requires: Zero tolerance policy - immediate action on detection Legal compliance - mandatory reporting to NCMEC/law enforcement Evidence preservation - secure logging for legal proceedings Staff protection - mental health support for reviewers Privacy protection - strict handling of detected content
Features
Hash Database Matching: PhotoDNA, PDQ, perceptual hashing against known CSAM Age Estimation: AI-powered age detection with high accuracy Anatomical Detection: Identify inappropriate imagery of minors Context Analysis: Distinguish legitimate from exploitative content Behavioral Analysis: Detect grooming patterns and predatory behavior NCMEC Integration: Automatic CyberTipline reporting Evidence Preservation: Secure storage for law enforcement User Flagging: Immediate account suspension and investigation Network Analysis: Identify distribution rings and patterns Real-time Blocking: Prevent upload/distribution instantly
Via ClawHub
https://clawhub.ai/raghulpasupathi/csam-shield
Via npm
npm install @raghulpasupathi/csam-shield
Configuration
{ "enabled": true, "settings": { "mode": "maximum-protection", "zeroTolerance": true, "thresholds": { "ageEstimation": { "childThreshold": 13, "teenThreshold": 18, "confidence": 0.85 }, "hashMatch": { "exactMatch": 0.95, "nearMatch": 0.85 }, "anatomicalDetection": { "sensitivity": "maximum", "blockThreshold": 0.70 }, "contextAnalysis": { "enabled": true, "legitimateExceptions": ["family", "medical", "educational"] } }, "databases": { "photoDNA": { "enabled": true, "provider": "microsoft", "updateFrequency": "hourly" }, "pdqHash": { "enabled": true, "provider": "facebook", "updateFrequency": "hourly" }, "ncmec": { "enabled": true, "hashList": true, "updateFrequency": "hourly" }, "custom": { "enabled": true, "path": "/secure/csam-hashes/" } }, "detection": { "imageAnalysis": true, "videoAnalysis": true, "textAnalysis": true, "metadataAnalysis": true, "networkAnalysis": true, "behaviorAnalysis": true }, "reporting": { "ncmec": { "enabled": true, "endpoint": "https://report.cybertip.org/", "apiKey": "${NCMEC_API_KEY}", "automatic": true }, "lawEnforcement": { "enabled": true, "contacts": ["fbi_tips", "local_police"], "automatic": false, "requiresReview": true }, "preserveEvidence": true, "evidenceRetention": "indefinite", "encryptEvidence": true }, "actions": { "onDetection": [ "block_content", "suspend_user", "preserve_evidence", "report_ncmec", "alert_security_team", "block_ip", "flag_related_accounts" ], "onHashMatch": [ "immediate_block", "auto_report_ncmec", "permanent_ban", "preserve_all_user_content", "notify_authorities" ] }, "security": { "accessControl": "restricted", "auditLogging": "complete", "encryption": "aes-256", "staffProtection": true, "limitedExposure": true } } }
API / Methods
const CSAMShield = require('@raghulpasupathi/csam-shield'); // Initialize with strict security const shield = new CSAMShield({ mode: 'maximum-protection', ncmecApiKey: process.env.NCMEC_API_KEY, encryptionKey: process.env.EVIDENCE_ENCRYPTION_KEY }); // โ ๏ธ CRITICAL: Analyze content (use with extreme caution) const result = await shield.analyze('/path/to/content.jpg'); console.log(result); /* Output: { threat: 'CRITICAL', action: 'IMMEDIATE_BLOCK', detectionType: 'hash_match', confidence: 0.98, details: { hashMatch: { matched: true, database: 'photoDNA', matchConfidence: 0.99 }, ageEstimation: { estimatedAge: 10, confidence: 0.94, isMinor: true }, anatomicalDetection: { inappropriate: true, severity: 'extreme' }, context: { isLegitimate: false, category: 'exploitative' } }, actions: { contentBlocked: true, userSuspended: true, evidencePreserved: true, ncmecReported: true, reportId: 'NCMEC-2026-xxxxx', authoritiesNotified: true }, evidence: { caseId: 'CASE-2026-xxxxx', preservedData: [ 'content_hash', 'user_info', 'upload_metadata', 'ip_address', 'device_info' ], encryptedStorage: '/secure/evidence/CASE-2026-xxxxx/' }, timestamp: '2026-02-20T10:30:00Z' } */ // Check hash against known CSAM databases const hashCheck = await shield.checkHash(contentHash); console.log(hashCheck); /* Output: { isKnownCSAM: true, matchedDatabases: ['photoDNA', 'pdqHash', 'ncmec'], matchConfidence: 0.99, action: 'IMMEDIATE_BLOCK', reportRequired: true } */ // Estimate age in image const ageEstimation = await shield.estimateAge('/path/to/image.jpg'); console.log(ageEstimation); /* Output: { estimatedAge: 12, confidence: 0.91, ageRange: [10, 14], isMinor: true, certaintyLevel: 'high' } */ // Analyze user behavior for grooming patterns const behaviorAnalysis = await shield.analyzeBehavior(userId, { messages: userMessages, interactions: userInteractions, timeline: activityTimeline }); console.log(behaviorAnalysis); /* Output: { isGrooming: true, confidence: 0.87, patterns: [ 'age_inquiries', 'isolation_attempts', 'gift_offering', 'secrecy_requests', 'progressive_boundary_crossing' ], riskLevel: 'extreme', recommendedAction: 'immediate_investigation' } */ // Report to NCMEC CyberTipline const ncmecReport = await shield.reportToNCMEC({ content: contentDetails, user: userDetails, evidence: preservedEvidence }); console.log(ncmecReport); /* Output: { success: true, reportId: 'NCMEC-2026-xxxxx', timestamp: '2026-02-20T10:30:00Z', status: 'submitted', followUp: 'pending_review' } */ // Preserve evidence for legal proceedings const evidence = await shield.preserveEvidence({ contentId: 'content-123', userId: 'user-456', includeMetadata: true, includeRelatedContent: true, includeUserHistory: true }); // Suspend user and related accounts await shield.suspendUser(userId, { reason: 'CSAM_DETECTION', permanent: true, blockRelatedAccounts: true, preserveEvidence: true }); // Network analysis to find related accounts const network = await shield.analyzeNetwork(userId); console.log(network); /* Output: { suspiciousAccounts: [ { userId: 'user-789', riskScore: 0.92, connection: 'frequent_messages' }, { userId: 'user-012', riskScore: 0.85, connection: 'content_sharing' } ], distributionRing: { detected: true, size: 7, accounts: [...] }, recommendedActions: [ 'investigate_all_accounts', 'preserve_all_evidence', 'notify_authorities' ] } */ // Secure hash generation (for reporting only) const secureHash = await shield.generateSecureHash('/path/to/content.jpg'); // Update hash databases await shield.updateHashDatabases(); // Event listeners (CRITICAL - requires immediate response) shield.on('csam_detected', async (detection) => { console.error('๐จ CRITICAL: CSAM DETECTED'); // Immediate actions await shield.blockContent(detection.contentId); await shield.suspendUser(detection.userId); await shield.preserveEvidence(detection); await shield.reportToNCMEC(detection); await shield.notifySecurityTeam(detection); await shield.alertAuthorities(detection); }); shield.on('hash_match', async (match) => { console.error('๐จ CRITICAL: Known CSAM hash matched'); // Automatic immediate actions await shield.executeEmergencyProtocol(match); }); shield.on('grooming_detected', async (behavior) => { console.warn('โ ๏ธ WARNING: Potential grooming behavior detected'); // Investigation and monitoring await shield.flagForInvestigation(behavior.userId); await shield.enhanceMonitoring(behavior.userId); }); // Secure audit logging const auditLog = await shield.getAuditLog({ type: 'csam_detection', timeRange: 'last_30_days', includeReports: true }); // Staff protection - limited exposure mode shield.enableStaffProtection({ blurContent: true, limitedDetails: true, rotationSchedule: true, mentalHealthSupport: true }); // Compliance reporting const complianceReport = await shield.generateComplianceReport({ period: 'monthly', includeStatistics: true, includeActions: true, format: 'legal' });
Dependencies
@microsoft/photodna: ^2.0.0 - PhotoDNA hashing pdq-hash: ^1.0.0 - Facebook PDQ hashing @tensorflow/tfjs-node-gpu: ^4.0.0 - Age estimation models opencv4nodejs: ^6.0.0 - Image analysis ncmec-reporter: ^1.0.0 - NCMEC CyberTipline integration crypto: Built-in - Evidence encryption
Performance
Hash Matching: <10ms (database lookup) Age Estimation: 100-200ms per image Full Analysis: 200-500ms per image Video Analysis: Real-time frame scanning Accuracy: Hash matching: 99.9% (known CSAM) Age estimation: 92% accuracy (ยฑ2 years) Context analysis: 89% accuracy False positive rate: <0.01% (strict to prevent abuse)
Legal Requirements
Mandatory Reporting: Report all detected CSAM to NCMEC (18 USC ยง 2258A) Evidence Preservation: Retain evidence for law enforcement (90+ days minimum) No Distribution: Never distribute detected CSAM, even internally User Notification: Do NOT notify user of detection (obstruction warning) Law Enforcement Cooperation: Full cooperation with investigations International Compliance: Comply with local laws (IWF, INHOPE, etc.)
Use Cases
Social media platforms Messaging applications File sharing services Cloud storage providers Dating applications Gaming platforms with UGC Forum and community sites Any platform allowing user uploads
False Positives
Problem: Legitimate content flagged as CSAM Solution: Review context analysis results Check for family/medical/educational context Manual review by trained staff ONLY Document false positive for model improvement NEVER automatically ignore - always review Consider legitimate use cases in detection logic
Missing Known CSAM
Problem: Hash databases not catching known content Solution: Verify database updates are running hourly Check all hash databases enabled Ensure proper API keys configured Test hash generation process Verify network connectivity to update servers Contact database providers for troubleshooting
NCMEC Reporting Failures
Problem: Reports not submitting to NCMEC Solution: Verify API credentials Check network connectivity Queue reports for retry Manual submission if automatic fails Contact NCMEC technical support Keep local evidence regardless of submission status
Age Estimation Inaccuracy
Problem: Age estimation giving unreliable results Solution: Use as one signal, not sole determinant Combine with other detection methods Lower confidence threshold for safety Update age estimation models regularly Consider edge cases (appearing older/younger) When in doubt, err on side of caution
Evidence Storage Issues
Problem: Evidence not being preserved correctly Solution: Verify encryption keys configured Check storage permissions and space Test evidence retrieval process Implement redundant storage Regular backup verification Consult legal team on retention requirements
Integration Example
// โ ๏ธ CRITICAL SYSTEM INTEGRATION const express = require('express'); const multer = require('multer'); const CSAMShield = require('@raghulpasupathi/csam-shield'); const app = express(); const upload = multer({ dest: '/secure/temp/' }); const shield = new CSAMShield({ mode: 'maximum-protection', ncmecApiKey: process.env.NCMEC_API_KEY }); // Critical: Pre-upload hash check app.post('/api/upload', upload.single('file'), async (req, res) => { const tempPath = req.file.path; try { // Generate hash immediately const contentHash = await shield.generateSecureHash(tempPath); // Check against known CSAM databases FIRST const hashCheck = await shield.checkHash(contentHash); if (hashCheck.isKnownCSAM) { // CRITICAL: Known CSAM detected console.error('๐จ CRITICAL: Known CSAM hash matched'); // Preserve evidence await shield.preserveEvidence({ contentHash, userId: req.user.id, ip: req.ip, uploadAttempt: true, timestamp: new Date() }); // Automatic NCMEC report await shield.reportToNCMEC({ type: 'known_csam_upload', hash: contentHash, user: req.user, ip: req.ip }); // Suspend user immediately await shield.suspendUser(req.user.id, { reason: 'CSAM_UPLOAD', permanent: true }); // Delete file securely await shield.secureDelete(tempPath); // DO NOT reveal reason to user return res.status(400).json({ success: false, error: 'Upload failed. Please contact support.' }); } // Perform full analysis const analysis = await shield.analyze(tempPath); if (analysis.threat === 'CRITICAL') { // New CSAM detected console.error('๐จ CRITICAL: Potential CSAM detected'); // Execute emergency protocol await shield.executeEmergencyProtocol({ content: tempPath, user: req.user, analysis: analysis }); // DO NOT reveal reason to user return res.status(400).json({ success: false, error: 'Upload failed. Please contact support.' }); } // Content passed all checks const url = await uploadToStorage(tempPath); res.json({ success: true, url: url }); } catch (error) { console.error('CSAM Shield error:', error); // Fail closed - reject upload res.status(500).json({ success: false, error: 'Upload failed. Please try again.' }); } finally { // Always clean up temp file if (fs.existsSync(tempPath)) { await shield.secureDelete(tempPath); } } }); // Background monitoring of existing content async function scanExistingContent() { console.log('Starting periodic content scan...'); const contentBatch = await getContentForScanning(1000); for (const content of contentBatch) { try { const hash = await shield.generateSecureHash(content.url); const check = await shield.checkHash(hash); if (check.isKnownCSAM) { console.error(`๐จ CRITICAL: Known CSAM found in existing content: ${content.id}`); // Execute emergency protocol await shield.executeEmergencyProtocol({ contentId: content.id, userId: content.userId, discoveryMethod: 'periodic_scan' }); } } catch (error) { console.error(`Error scanning content ${content.id}:`, error); } } } // Run hourly scans setInterval(scanExistingContent, 60 * 60 * 1000); // Admin dashboard (RESTRICTED ACCESS) app.get('/admin/csam/dashboard', requireSecurityClearance, async (req, res) => { const stats = await shield.getStats({ period: '30d', includeReports: true }); res.json({ success: true, stats: stats, warning: 'RESTRICTED: Security clearance required' }); }); // Compliance reporting (LEGAL TEAM ONLY) app.get('/legal/csam/compliance-report', requireLegalAccess, async (req, res) => { const report = await shield.generateComplianceReport({ period: req.query.period || 'monthly', format: 'legal' }); res.json({ success: true, report: report }); });
Best Practices (CRITICAL)
Zero Tolerance: No exceptions, immediate action on detection Report Everything: When in doubt, report to NCMEC Preserve Evidence: Secure storage for law enforcement Staff Protection: Mental health support, limited exposure Never Distribute: Don't share detected content internally Legal Compliance: Follow all mandatory reporting laws User Privacy: Balance detection with legitimate user privacy Regular Updates: Keep hash databases current (hourly) Audit Everything: Complete logging for legal proceedings Encryption: Encrypt all evidence and sensitive data Access Control: Strict role-based access to systems Cooperation: Full cooperation with law enforcement
Emergency Contacts
NCMEC CyberTipline: 1-800-843-5678 / report.cybertip.org FBI IC3: ic3.gov Interpol: interpol.int/Crimes/Crimes-against-children IWF (UK): iwf.org.uk INHOPE: inhope.org
Mental Health Resources (for staff)
Working with CSAM detection is traumatic. Provide: Regular counseling services Rotation schedules Debriefing sessions Time off after exposure Peer support groups 24/7 crisis support
Category context
Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.
Source: Tencent SkillHub
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Package contents
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- SKILL.md