Mental Health Analysis Tool | 心理健康分析工具
Analyzes human mental health and psychological behavior, supports identifying common psychological problem tendencies through video analysis, and provides structured mental health analysis reports and improvement suggestions. | 心理健康分析工具,针对人的心理健康和心理行为进行分析,支持通过视频分析识别常见心理问题倾向,提供结构化心理健康分析报告和改善建议 Skill: Mental Health Analysis Tool | 心理健康分析工具 Owner: smyx-sunjinhui Summary: Analyzes human mental health and psychological behavior, supports identifying common psychological problem tendencies through video analysis, and provides structured mental health analysis reports and improvement suggestions. | 心理健康分析工具,针对人的心理健康和心理行为进行分析,支持通过视频分析识别常见心理问题倾向,提供结构化心理健康分析报告和改善建议 Tags: latest:1.0.21 Version history: v1.0.21 | 202
Rank
62
Safety
84
Downloads
2.3k
Updated
Oct 9, 2026
Version
1.0.21
Source
CLAWHUB
About
What it does, and when to use it.
Capability contract not published. No trust telemetry is available yet. 2.3K 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
- 2.3K downloadsadoption · observed Oct 9, 2026
- Latest release
- 1.0.21release · observed Oct 3, 2026
- Handshake status
- UNKNOWNsecurity
Install and run
Setup complexity: low.
clawhub skill install s17cfv2h26b7hq5w47tgfy23xx83z9x6:smyx-psychology-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-smyx-sunjinhui-smyx-psychology-analysis/snapshot"
Documentation
CLAWHUB
130,532 characters of source documentation, loaded on request.
Extracted files
5 files captured from the source.
SKILL.md
--- name: "psychology-analysis" description: "Analyzes human mental health and psychological behavior, supports identifying common psychological problem tendencies through video analysis, and provides structured mental health analysis reports and improvement suggestions. | 心理健康分析工具,针对人的心理健康和心理行为进行分析,支持通过视频分析识别常见心理问题倾向,提供结构化心理健康分析报告和改善建议" version: "1.0.18" license: "MIT-0" --- # 🧠 Mental Health Analysis Tool | 心理健康分析工具 > **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 | **心理健康分析工具** | | 🎯 核心目标 | 心理健康分析工具,针对人的心理健康和心理行为进行分析,支持通过视频分析识别常见心理问题倾向,提供结构化心理健康分析报告和改善建议 | | 🖼️ 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 | `PSYCHOLOGY_ANALYSIS` | Based on advanced non-contact physiological signal detection and affective computing technologies, this feature captures subtle facial blood flow chan ges (rPPG) and micro-expression characteristics (FACS) via high-precision cameras to deeply analyze user stress levels, anxiety tendencies, and depression tendencies. By leveraging remote photoplethysmography to restore physiological indicators like Heart Rate Variability (HRV) and combining this with AI emotion recognition algorithms to capture emotional fluctuations in micro-expressions, the system accurately quantifies mental health status. Ideal for corporate employee care, campus psychological screening, and home health monitoring, this feature provides users with imperceptible and objective mental health assessment reports, facilitating the early detection and intervention of psychological issues. 本功能基于多模态深度学习算法,针对个体的心理健康状态与行为模式进行全方位深度分析。系统支持通过视频流分析技术,实时捕捉并识别面部微表情、肢体语言及语音语调特征,精准筛查抑郁、焦虑、压力过大等常见心理问题倾向。在分析完成后,系统将自动生成包含风险等级、情绪趋势及行为特征的结构化心理健康分析报告,并基于认知行为疗法等专业理论,提供个性化的心理调适方案与改善建议,为用户提供科学、客观的心理健康参考依据 ## 🎬 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 通过视频分析进行心理健康评估,获取结构化的心理健康分析报告 ### 2. 🛠️ 能力范围 | 序号 | 具体能力 | |---:|---| | 1 | 视频分析 | | 2 | 情绪状态识别 | | 3 | 行为模式分析 | | 4 | 社交互动评估 | | 5 | 常见心理问题倾向识别 | | 6 | 心理健康改善建议生成 | ### 3. ⚡ 触发条件 | 触发类型 | 触发规则 | |---|---| | ✅ 默认触发 | **默认触发**:当用户提供需要分析的人物视频 URL 或文件需要进行心理健康分析时,默认触发本技能 | | 🔎 明确分析意图 | 当用户明确需要进行心理健康检查、心理行为分析、情绪压力评估时,提及心理健康、心理问题、抑郁焦虑评估、压力检测等关键词,并且上传了视频文件 | | 📚 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** :查看历史心理报告、心理健康报告清单、心理分析报告列表、显示所有心理报告,查询心理健康分析报告 | ### 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.psychology_analysis --list ``` | 类型 | 要求 | |---|---| | ✅ 必须 | 使用 `python -m scripts.psychology_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 ```
_meta.json
{
"ownerId": "kn7cyxkr2ymf7zwsrybpedg8xx83ywrj",
"slug": "smyx-psychology-analysis",
"version": "1.0.21",
"publishedAt": 1791063206041
}references/api_doc.md
# API 接口文档
此处用于存放心理健康分析 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/ai-analysis/v2/start-common-ai-analysis` - 启动健康分析任务
2. `/web/ai-analysis/get-common-ai-analysis-result` - 获取分析结果
3. `/web/ai-analysis/page-common-ai-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
- `PSYCHOLOGY_ANALYSIS` - 心理健康分析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
{}AionUi
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Machine-readable data
The same record, as JSON, for agents and crawlers.
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