Adult Facial Fatigue / Stress Index | 成人面部疲劳/压力指数分析
Using a smart mirror or fixed camera, the system analyzes high-resolution adult facial images or short videos to detect physiological features such as under-eye bag area (puffiness/shadow under the lower eyelid), dark-circle grayscale (darkness around the eyes), mouth-corner drop angle (angle between corner of mouth and horizontal), and glabellar frown lines (vertical lines between the brows), and computes a comprehensive. | 通过智能镜子或固定摄像头,分析成人面部的高清图像或视频,检测眼袋面积(下眼睑区域的浮肿或阴影面积)、黑眼圈灰度(眼眶区域的暗沉程度)、嘴角下垂角度(口角与水平线的夹角)以及皱眉纹(眉间川字纹)等生理特征,综合计算疲劳/压力指数(0-100分)。该技能可用于职场健康管理、个人状态监测,辅助了解自身精力水平。
Rank
62
Safety
84
Downloads
1.6k
Updated
Oct 10, 2026
Version
1.0.10
Source
CLAWHUB
About
What it does, and when to use it.
Capability contract not published. No trust telemetry is available yet. 1.6K downloads reported by the source. Last updated 10/10/2026.
Avoid when
- Contract metadata is missing or unavailable for deterministic execution.
Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing
Public facts
Every fact links back to the source it came from.
- Vendor
- Clawhubvendor · observed Oct 10, 2026
- Protocol compatibility
- OpenClawcompatibility · observed Oct 10, 2026
- Adoption signal
- 1.6K downloadsadoption · observed Oct 10, 2026
- Latest release
- 1.0.10release · observed Sep 29, 2026
- Handshake status
- UNKNOWNsecurity
Install and run
Setup complexity: low.
clawhub skill install s17cfv2h26b7hq5w47tgfy23xx83z9x6:smyx-adult-facial-fatigue-stress-index-analysis- Install using `clawhub skill install s17cfv2h26b7hq5w47tgfy23xx83z9x6:smyx-adult-facial-fatigue-stress-index-analysis` in an isolated environment before connecting it to live workloads.
- No published capability contract is available yet, so validate auth and request/response behavior manually.
- Review the upstream CLAWHUB listing at https://clawhub.ai/smyx-sunjinhui/smyx-adult-facial-fatigue-stress-index-analysis before using production credentials.
Contract: missing
curl -s "https://www.xpersona.co/api/v1/agents/clawhub-smyx-sunjinhui-smyx-adult-facial-fatigue-stress-index-a/snapshot"
Documentation
CLAWHUB
150,059 characters of source documentation, loaded on request.
Extracted files
5 files captured from the source.
SKILL.md
--- name: "smyx-adult-facial-fatigue-stress-index-analysis" description: "Using a smart mirror or fixed camera, the system analyzes high-resolution adult facial images or short videos to detect physiological features such as under-eye bag area (puffiness/shadow under the lower eyelid), dark-circle grayscale (darkness around the eyes), mouth-corner drop angle (angle between corner of mouth and horizontal), and glabellar frown lines (vertical lines between the brows), and computes a comprehensive. | 通过智能镜子或固定摄像头,分析成人面部的高清图像或视频,检测眼袋面积(下眼睑区域的浮肿或阴影面积)、黑眼圈灰度(眼眶区域的暗沉程度)、嘴角下垂角度(口角与水平线的夹角)以及皱眉纹(眉间川字纹)等生理特征,综合计算疲劳/压力指数(0-100分)。该技能可用于职场健康管理、个人状态监测,辅助了解自身精力水平。" version: "1.0.14" license: "MIT-0" --- # 😓 Adult Facial Fatigue / Stress Index | 成人面部疲劳/压力指数分析 > **智能分析中枢** · 图片/视频智能分析 · 结构化报告 · 历史报告云端查询 --- ## 🧭 技能概览 | Overview | 模块 | 内容 | |---|---| | 🏷️ 技能名称 | **成人面部疲劳/压力指数分析** | | 🎯 核心目标 | 通过智能镜子或固定摄像头,分析成人面部的高清图像或视频,检测眼袋面积(下眼睑区域的浮肿或阴影面积)、黑眼圈灰度(眼眶区域的暗沉程度)、嘴角下垂角度(口角与水平线的夹角)以及皱眉纹(眉间川字纹)等生理特征,综合计算疲劳/压力指数(0-100分)。该技能可用于职场健康管理、个人状态监测,辅助了解自身精力水平。 | | 🖼️ 输入类型 | 图片、视频、本地文件、网络 URL | | 📝 输出能力 | 结构化分析报告、识别/监测结果、建议与报告链接 | | 🧩 场景码 | `SMYX_ADULT_FACIAL_FATIGUE_STRESS_INDEX_ANALYSIS` | Using a smart mirror or fixed camera, the system analyzes high-resolution adult facial images or short videos to detect physiological features such as under-eye bag area (puffiness/shadow under the lower eyelid), dark-circle grayscale (darkness around the eyes), mouth-corner drop angle (angle between corner of mouth and horizontal), and glabellar frown lines (vertical lines between the brows), and computes a comprehensive fatigue/stress index (0-100). The skill supports workplace health management and personal state monitoring, helping users understand their energy level. Application scenarios: smart mirrors, office health displays, smartphone selfie apps, personal health management. The system auto-evaluates daily or per use, outputs the fatigue index, and suggests rest, hydration, or relaxation. Skill features: modern workers commonly face fatigue and stress that often go unnoticed. Non-contact facial analysis lets individuals and enterprises understand the state in time, adjust work rhythm, and prevent overwork. Can be integrated into smart mirrors, attendance terminals, or health management systems as a practical employee-care tool. 通过智能镜子或固定摄像头,分析成人面部的高清图像或视频,检测眼袋面积(下眼睑区域的浮肿或阴影面积)、黑眼圈灰度(眼眶区域的暗沉程度)、嘴角下垂角度(口角与水平线的夹角)以及皱眉纹(眉间川字纹)等生理特征,综合计算疲劳/压力指数(0-100分)。该技能可用于职场健康管理、个人状态监测,辅助了解自身精力水平。应用场景:智能镜子、办公室健康屏、手机APP自拍、个人健康管理。系统每日或每次使用时自动评估,输出疲劳指数,并建议休息、补水或进行放松训练。技能特点:现代职场人普遍面临疲劳和压力问题,但常被忽视。通过非接触式面部分析,可帮助个人和企业及时了解状态,调整工作节奏,预防过劳。该技能可集成到智能镜子、考勤终端或健康管理系统中,成为员工关怀的实用工具。 ## 🤖 AI 角色 | AI Role | 角色要点 | 说明 | |---|---| | 说明 1 | **假设你是一个专业的个人健康状态分析 AI。你的任务是分析成人面部图像或短视频,检测眼袋面积、黑眼圈灰度、嘴角下垂程度以及眉间皱纹等疲劳相关特征,综合输出疲劳/压力指数(0-100)。不要提供医疗诊断或临床压力评估,仅输出基于面部视觉的客观评分与方向性建议。** | ## 🎬 技能演示 | Skill Demo [▶️ 点击查看技能使用介绍](https://lifeemergence.com/sample.html) --- ## 🎯 任务目标 | Goals ### 1. 🧩 技能用途 基于成人正面面部图像或短视频,量化眼
_meta.json
{
"ownerId": "kn7cyxkr2ymf7zwsrybpedg8xx83ywrj",
"slug": "smyx-adult-facial-fatigue-stress-index-analysis",
"version": "1.0.10",
"publishedAt": 1790682446857
}references/api_doc.md
# API 接口文档
此处用于存放成人面部疲劳/压力指数分析 API 的接口文档,待后续补充。
## 接口规范
- 基础地址:由 smyx_common 配置统一管理
- 认证方式:API Key 鉴权
- 响应格式:JSON
## 主要接口
1. `/web/health-analysis/v2/start-health-analysis` - 启动成人面部疲劳/压力指数分析任务
2. `/web/health-analysis/v2/get-health-analysis-result` - 获取分析结果(疲劳/压力指数)
3. `/web/health-analysis/page-health-analysis-result` - 分页查询历史疲劳指数记录
4. `/health/order/api/getReportDetailExport?id={id}` - 导出完整报告
## 场景代码
- `SMYX_ADULT_FACIAL_FATIGUE_STRESS_INDEX_ANALYSIS` - 成人面部疲劳/压力指数分析
## 输入约束
- 推荐使用正面、平视、清晰、光照均匀的成人面部图像或 3-10 秒短视频
- 拍摄距离 30-80 cm,五官区域清晰,避免厚重妆容/滤镜干扰
- 适用于智能镜子、办公室健康屏、手机自拍、健康管理 APP
## 关键观测特征
- `eye_bag_area` - 眼袋面积(下眼睑浮肿/阴影面积,归一化)
- `dark_circle_grayscale` - 黑眼圈灰度(眼眶暗沉程度,0-1)
- `mouth_corner_drop_deg` - 嘴角下垂角度(口角与水平线夹角,°)
- `glabellar_frown_lines_score` - 眉间川字纹评分(0-1)
- `skin_dullness_score` - 整体肌肤暗沉度(参考)
## 疲劳/压力指数分级(0-100)
- 0-30 - 状态良好(good)
- 30-50 - 轻度疲劳(mild_fatigue)
- 50-70 - 中度疲劳/压力(moderate_stress)
- 70-100 - 重度疲劳/高压(high_stress)
## 输出字段(参考)
- `face_detected` - 是否检测到正面面部
- `feature_metrics` - 各项面部特征数值(eye_bag_area / dark_circle_grayscale / mouth_corner_drop_deg / glabellar_frown_lines_score / skin_dullness_score)
- `fatigue_stress_score` - 疲劳/压力综合指数(0-100)
- `fatigue_stress_level` - 等级(good / mild_fatigue / moderate_stress / high_stress)
- `top_contributing_features` - 主要贡献特征排序
- `suggestion_hint` - 方向性建议(如"建议补水休息"、"今晚早睡"、"短暂深呼吸/放松训练")
- `medical_followup_hint` - 医疗复核提示(持续高分建议体检)
> 仅输出基于面部视觉的客观评分与方向性建议,不提供医学诊断或临床压力评估;如长期高分伴明显躯体症状,请咨询专业医生。skills/smyx_analysis/references/api_doc.md
# API接口文档 ## 接口规范 - 基础地址:由 smyx_common 配置统一管理 - 认证方式:API Key 鉴权 - 请求格式:支持文件上传 - 响应格式:JSON ## 错误码说明 | 错误码 | 说明 | |-----|----------| | 400 | 请求参数错误 | | 401 | API密钥无效 | | 403 | 权限不足 | | 413 | 文件过大 | | 415 | 不支持的文件格式 | | 500 | 服务器内部错误 |
scripts/config.yaml
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activepieces
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Machine-readable data
The same record, as JSON, for agents and crawlers.
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