Arrhythmia Early Warning Analysis Tool | 心律失常早期预警分析工具
Based on facial video, identifies abnormal rhythms such as premature beats, atrial fibrillation, tachycardia/bradycardia, assists in early detection of heart health risks. | 心律失常早期预警技能,基于面部视频识别早搏、房颤、心动过速/心动过缓等异常节律,辅助心脏健康风险早发现 Skill: Arrhythmia Early Warning Analysis Tool | 心律失常早期预警分析工具 Owner: 18072937735 Summary: Based on facial video, identifies abnormal rhythms such as premature beats, atrial fibrillation, tachycardia/bradycardia, assists in early detection of heart health risks. | 心律失常早期预警技能,基于面部视频识别早搏、房颤、心动过速/心动过缓等异常节律,辅助心脏健康风险早发现 Tags: latest:1.0.19 Version history: v1.0.19 | 2026-10-02T13:53:29.667Z | auto - Removed the file: skill-
Rank
62
Safety
84
Downloads
2.5k
Updated
Oct 9, 2026
Version
1.0.19
Source
CLAWHUB
About
What it does, and when to use it.
Capability contract not published. No trust telemetry is available yet. 2.5K 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
- 2.5K downloadsadoption · observed Oct 9, 2026
- Latest release
- 1.0.19release · observed Oct 2, 2026
- Handshake status
- UNKNOWNsecurity
Install and run
Setup complexity: low.
clawhub skill install s17f8q65zg3y98t86jdg1177g583whq8:smyx-arrhythmia-early-warning-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-arrhythmia-early-warning-analysis/snapshot"
Documentation
CLAWHUB
122,649 characters of source documentation, loaded on request.
Extracted files
5 files captured from the source.
SKILL.md
--- name: "arrhythmia-early-warning-analysis" description: "Based on facial video, identifies abnormal rhythms such as premature beats, atrial fibrillation, tachycardia/bradycardia, assists in early detection of heart health risks. | 心律失常早期预警技能,基于面部视频识别早搏、房颤、心动过速/心动过缓等异常节律,辅助心脏健康风险早发现" version: "1.0.18" license: "MIT-0" --- # 💓 Arrhythmia Early Warning Analysis Tool | 心律失常早期预警分析工具 > **智能健康/识别分析中枢** · 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 | **心律失常早期预警分析工具** | | 🎯 核心目标 | 心律失常早期预警技能,基于面部视频识别早搏、房颤、心动过速/心动过缓等异常节律,辅助心脏健康风险早发现 | | 🖼️ 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、风险/识别结果、建议与报告链接 | | 🧩 场景码 | `ARRHYTHMIA_EARLY_WARNING` | By analyzing subtle color variations and periodic movements in facial videos, this feature identifies hemodynamic fluctuations caused by heartbeats to detect arrhythmias such as premature beats, atrial fibrillation, tachycardia, and bradycardia. Requiring no contact sensors and utilizing only a standard camera, it enables non-invasive screening. This allows users to conveniently assess cardiac health risks in their daily lives, facilitating the early detection and warning of abnormal rhythms. 本技能通过分析面部视频中的微细颜色变化与周期性运动,识别心脏搏动引发的血流动力学波动,从而检测早搏、房颤、心动过速与心动过缓等异常节律。无需接触式传感器,仅利用普通摄像头即可完成非侵入式筛查,辅助用户在日常状态下便捷评估心脏健康风险,实现异常节律的早期发现与预警。 ## 🎬 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 通过非接触面部视频分析,早期预警心律失常风险 ### 2. 🛠️ 能力范围 | 序号 | 具体能力 | |---:|---| | 1 | 早搏识别 | | 2 | 房颤特征识别 | | 3 | 心动过速检测 | | 4 | 心动过缓检测 | | 5 | 整体风险分级 | ### 3. ⚡ 触发条件 | 触发类型 | 触发规则 | |---|---| | ✅ 默认触发 | **默认触发**:当用户提供面部视频需要进行心脏健康风险筛查时,默认触发本技能 | | 🔎 明确分析意图 | 当用户明确需要心律失常预警、心脏健康筛查时,提及早搏、房颤、心动过速、心律失常预警、心脏筛查等关键词,并且上传了面部视频 | | 📚 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** :查看历史预警报告、心律失常报告清单、预警报告列表、查询历史预警报告、显示所有预警报告、心脏风险分析报告,查询心律失常早期预警分析报告 | ### 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.arrhythmia_early_warning_analysis --list ``` | 类型 | 要求 | |---|---| | ✅ 必须 | 使用 `python -m scripts.arrhythmia_early_warning_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 ``` ## 📸 采集要求 | Capture Requirements | 要求项 | 说明 | |---|---| | 面部完整出镜 | ,光线均匀充足,避免背光和强烈阴影 | | 保持相对静止 | ,视频采集时间建议 **10-30 秒** | | 避免剧烈运动后立即采集 | ,建议安静休息几分钟后再采集 | ## 🚀 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、询问或要求输入任何身份标识**。 执行本技能分析或历史报告查询时,脚本会自动完成身份初始化: | 场景 | 系统行为 | |---|---| | 上游系统有内部身份参数 | 由脚本静默接收并使用 | | 上游系统未提供内部身份参数 | 脚本会自动复用本地缺省用户 | | 本地缺省用户不存在 | 脚本会自动创建并在后续任务中复用 | | 对用户输出 | 只展示分析进度、分析结果和报告链接,不展示内部身份值 | #### 🔒 关键约束 | 禁止/要求 |
_meta.json
{
"ownerId": "kn7e2caqj7pnsvr9r7t8zenghs83xw7n",
"slug": "smyx-arrhythmia-early-warning-analysis",
"version": "1.0.19",
"publishedAt": 1790949209667
}references/api_doc.md
# API 接口文档
此处用于存放心律失常早期预警分析 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AI分析任务
2. `/web/ai-analysis/v2/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. `/ai/order/api/getReportDetailExport?id={id}` - 导出完整报告
## 场景代码
- `OPEN_ARRHYTHMIA_EARLY_WARNING_ANALYSIS` - 开放平台心律失常早期预警分析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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