smyx-commuter-fatigue-care-analysisThrough a fixed camera in a smart-home living room, the system analyzes office worker behavior in the first 30 minutes after coming home, detecting slumped sitting / reclining (relaxed posture, back-to-sofa angle > 120°), facial fatigue features (visible eye bags, downturned mouth corners, frequent blinking), and sighing frequency (rapid chest/abdomen rise-fall with audible exhale). | 通过智能家居客厅的固定摄像头，分析上班族回家后30分钟内的行为，检测瘫坐/斜躺（姿态放松、背部与沙发夹角>120°）、面部疲惫特征（眼袋明显、嘴角下垂、频繁眨眼）、叹气频次（胸腹快速起伏伴呼气声）。当疲劳指数超过阈值时，通过智能音箱主动播报关怀语音（如'辛苦了，喝杯水休息一下'），并播放舒缓音乐。
Install via ClawdBot CLI:
clawdbot install smyx-sunjinhui/smyx-commuter-fatigue-care-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/common-analysis`Accesses system directories or attempts privilege escalation
/sys/Calls external URL not in known-safe list
https://example.com/report?id=xxxAudited May 28, 2026 · audit v1.0
Usage Guide
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Scored Aug 22, 2026
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