What makes Visual Emotion Recognition Skill | 人体视觉情绪识别技能 notable?

2.1K downloads. Trust evidence available

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agentCLAWHUBUnverified

Visual Emotion Recognition Skill | 人体视觉情绪识别技能

Uses visual AI on frontal faces to recognize multi-dimensional emotions like happiness, sadness, depression, calmness, anger, surprise, and fear in real-time. Supports emotion intensity quantification and abnormal emotion marking, suitable for human-computer interaction and mental health monitoring. | 人体视觉情绪识别技能，基于正面人脸视觉AI实时识别快乐、悲伤、抑郁、平静、愤怒、惊讶、恐惧等多维度情绪状态，支持情绪强度量化与异常情绪标记，适配人机交互、心理健康监测场景 Skill: Visual Emotion Recognition Skill | 人体视觉情绪识别技能 Owner: 18072937735 Summary: Uses visual AI on frontal faces to recognize multi-dimensional emotions like happiness, sadness, depression, calmness, anger, surprise, and fear in real-time. Supports emotion intensity quantification and abnormal emotion marking, suitable for human-computer interaction and mental health monitoring. | 人体视觉情绪识别技能，基于正面人脸视觉AI实时识别快乐、悲伤、抑郁、平静

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

2.1k

Updated

Oct 9, 2026

Version

1.0.15

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 2.1K downloads reported by the source. Last updated 10/9/2026.

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 9, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 9, 2026
Adoption signal: 2.1K downloadsadoption · observed Oct 9, 2026
Latest release: 1.0.15release · observed Oct 1, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17f8q65zg3y98t86jdg1177g583whq8:smyx-human-emotion-recognition-analysis

Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-18072937735-smyx-human-emotion-recognition-analysis/snapshot"

Documentation

CLAWHUB

128,277 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: "human-emotion-recognition-analysis"
description: "Uses visual AI on frontal faces to recognize multi-dimensional emotions like happiness, sadness, depression, calmness, anger, surprise, and fear in real-time. Supports emotion intensity quantification and abnormal emotion marking, suitable for human-computer interaction and mental health monitoring. | 人体视觉情绪识别技能，基于正面人脸视觉AI实时识别快乐、悲伤、抑郁、平静、愤怒、惊讶、恐惧等多维度情绪状态，支持情绪强度量化与异常情绪标记，适配人机交互、心理健康监测场景"
version: "1.0.17"
license: "MIT-0"
---

# 😊 Visual Emotion Recognition Skill | 人体视觉情绪识别技能
> **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 | **人体视觉情绪识别技能** |
| 🎯 核心目标 | 人体视觉情绪识别技能，基于正面人脸视觉AI实时识别快乐、悲伤、抑郁、平静、愤怒、惊讶、恐惧等多维度情绪状态，支持情绪强度量化与异常情绪标记，适配人机交互、心理健康监测场景 |
| 🖼️ 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 | `HUMAN_EMOTION_RECOGNITION` |

Based on frontal face visual AI technology, this capability recognizes multi-dimensional emotional states in real-time,
including happiness, sadness, depression, calmness, anger, surprise, and fear, while supporting emotion intensity
quantification and automatic anomaly marking. By analyzing facial expressions, eye dynamics, and micro-expression
features, the system achieves high-precision affective understanding. It is applicable to scenarios such as emotional
feedback in human-computer interaction and mental health monitoring, assisting in judging changes in user psychological
states and providing data support for intelligent intervention and emotional counseling.

本技能基于正面人脸视觉AI技术，实时识别快乐、悲伤、抑郁、平静、愤怒、惊讶、恐惧等多维度情绪状态，并支持情绪强度量化与异常情绪自动标记。系统通过分析面部表情、眼部动态及微表情特征，实现高精度情感理解。适用于人机交互中的情感反馈、心理健康监测等场景，辅助判断用户心理状态变化，为智能干预与情绪疏导提供数据支撑。

## 🎬 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

通过人脸视频/图片进行多维度情绪识别，获取结构化的情绪识别分析报告

### 2. 🛠️ 能力范围

| 序号 | 具体能力 |
|---:|---|
| 1 | 多分类情绪识别 |
| 2 | 情绪强度量化 |
| 3 | 异常情绪标记 |
| 4 | 情绪趋势统计 |

### 3. ⚡ 触发条件

| 触发类型 | 触发规则 |
|---|---|
| ✅ 默认触发 | **默认触发**：当用户提供人脸视频/图片 URL 或文件需要进行情绪识别时，默认触发本技能 |
| 🔎 明确分析意图 | 当用户明确需要进行情绪识别、心理健康监测，提及情绪识别、情绪分析、心理健康、压力情绪等关键词，并且上传了视频或图片 |
| 📚 历史报告查询 | 当用户提及以下关键词时，**自动触发历史报告查询功能** ：查看历史识别报告、情绪识别报告清单、识别报告列表、查询历史报告、显示所有识别报告、情绪识别历史记录，查询人体情绪识别分析报告 |

### 4. 🤖 自动行为

| 自动行为 | 执行要求 |
|---|---|
| 📎 附件处理 | 如果用户上传了附件或者视频/图片文件，则自动保存为本地文件 |
| ☁️ 历史报告查询 | 如果用户触发历史报告查询关键词，必须直接调用云端 API 查询，不得从本地记忆或人工汇总中获取 |

#### ⚠️ 强制数据获取规则（次高优先级）

> **橙色强约束：** 历史报告清单只允许从云端接口读取，不允许从本地记录、长期记忆或人工汇总中提取。

必须执行：

```bash
python -m scripts.human_emotion_recognition_analysis --list
```

| 类型 | 要求 |
|---|---|
| ✅ 必须 | 使用 `python -m scripts.human_emotion_recognition_analysis --list` 调用 API 查询云端的历史报告数据 |
| 🚫 严格禁止 | 从本地 `memory` 目录读取历史会话信息 |
| 🚫 严格禁止 | 手动汇总本地记录中的报告 |
| 🚫 严格禁止 | 从长期记忆中提取报告 |
| ✅ 输出格式 | 必须统一从云端接口获取最新完整数据，然后以 Markdown 表格格式输出结果 |

## 📦 前置准备 | Requirements
- 依赖说明:scripts 脚本所需的依赖包及版本
  ```
  requests>=2.28.0
  ```

## 🚀 操作步骤 | Workflow
### 🔐 用户身份处理（内部自动完成）

> **绿色安全原则：** 用户身份参数由系统内部自动处理，**不得向用户展示、询

_meta.json

{
  "ownerId": "kn7e2caqj7pnsvr9r7t8zenghs83xw7n",
  "slug": "smyx-human-emotion-recognition-analysis",
  "version": "1.0.15",
  "publishedAt": 1790825845321
}

references/api_doc.md

# API 接口文档

此处用于存放宠物健康分析 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
- 请求格式：支持文件上传
- 响应格式：JSON

## 主要接口

1. `/web/health-analysis/v2/start-health-analysis` - 启动健康分析任务
2. `/web/health-analysis/v2/get-health-analysis-result` - 获取分析结果
3. `/web/health-analysis/page-health-analysis-result` - 分页查询历史报告
4. `/health/order/api/getReportDetailExport?id={id}` - 导出完整报告

## 场景代码

- `OPEN_PET_HEALTH_ANALYSIS` - 开放平台宠物健康分析

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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