smyx-human-emotion-recognition-analysisUses visual AI on frontal faces to recognize multi-dimensional emotions like happiness, sadness, depression, calmness, anger, surprise, and fear in real-time...
Install via ClawdBot CLI:
clawdbot install 18072937735/smyx-human-emotion-recognition-analysisGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://your-api-server.com/api/v1/face-analysis`Accesses system directories or attempts privilege escalation
/sys/Calls external URL not in known-safe list
https://example.com/report?id=xxxAI Analysis
The skill sends facial analysis data to an undocumented external API endpoint (`your-api-server.com`), creating a data exfiltration risk. While it explicitly prohibits local memory access, the external data flow is not validated, and the API's purpose, data handling, and retention policies are unknown.
Generated May 12, 2026
A telehealth platform uses the skill to analyze patients' facial expressions during video consultations, detecting signs of depression or anxiety. The system flags abnormal emotion intensities and trends over time, aiding therapists in prioritizing cases and providing data-driven insights for treatment.
An AI-powered virtual assistant integrates this skill to recognize user emotions from webcam feed. Based on detected sadness or frustration, the assistant adjusts its tone, offers comforting responses, or suggests relaxation exercises, improving user experience in customer service or personal assistant apps.
Automotive systems use the skill to monitor the driver's emotional state via an in-cabin camera. If anger or fatigue is detected (e.g., high anger intensity), the system can issue warnings, adjust the cabin environment, or suggest a break, enhancing road safety.
EdTech platforms analyze student facial expressions during online classes to gauge engagement and emotional responses. Teachers receive aggregated reports showing confusion, boredom, or surprise, helping them tailor instruction in real-time or improve course content.
Offer the emotion recognition capability as a REST API with tiered pricing based on number of API calls or video processing minutes. Customers integrate it into their own applications (e.g., telehealth, call centers) and pay monthly.
Partner with mental health SaaS providers to embed the skill as a premium add-on. Revenue from per-report fees or per-patient charges when emotion analysis is used in therapy sessions.
License the full skill package to car manufacturers, integrating it into their driver monitoring systems. Charge a one-time integration fee plus per-vehicle royalty for each car shipped with the feature.
💬 Integration Tip
The skill requires setting up open-id via config.yaml or user input, and running Python scripts. Ensure all dependencies (requests>=2.28.0) are installed and the scripts directory is accessible.
Scored Jul 15, 2026
Audited Apr 17, 2026 · audit v1.0
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