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Parkinson's & Epileptic Behavior Recognition Skill | 帕金森癫痫行为识别技能

Identifies abnormal behaviors such as limb tremors, convulsions, stiffness, and gait abnormalities through video recognition, assisting in home risk monitoring for patients with chronic conditions. | 帕金森癫痫行为识别技能，通过视频识别肢体震颤、抽搐、僵硬、步态异常等异常行为，辅助慢性病患者居家风险监测 Skill: Parkinson's & Epileptic Behavior Recognition Skill | 帕金森癫痫行为识别技能 Owner: 18072937735 Summary: Identifies abnormal behaviors such as limb tremors, convulsions, stiffness, and gait abnormalities through video recognition, assisting in home risk monitoring for patients with chronic conditions. | 帕金森癫痫行为识别技能，通过视频识别肢体震颤、抽搐、僵硬、步态异常等异常行为，辅助慢性病患者居家风险监测 Tags: latest:1.0.15 Version history: v1.0.15 | 2026-10-03T11:09:25.

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 3, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17f8q65zg3y98t86jdg1177g583whq8:smyx-parkinson-epilepsy-behavior-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-parkinson-epilepsy-behavior-recognitio/snapshot"

Documentation

CLAWHUB

127,198 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: "parkinson-epilepsy-behavior-recognition-analysis"
description: "Identifies abnormal behaviors such as limb tremors, convulsions, stiffness, and gait abnormalities through video recognition, assisting in home risk monitoring for patients with chronic conditions. | 帕金森癫痫行为识别技能，通过视频识别肢体震颤、抽搐、僵硬、步态异常等异常行为，辅助慢性病患者居家风险监测"
version: "1.0.19"
license: "MIT-0"
---

# 🧠 Parkinson's & Epileptic Behavior Recognition Skill | 帕金森癫痫行为识别技能
> **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 | **帕金森癫痫行为识别技能** |
| 🎯 核心目标 | 帕金森癫痫行为识别技能，通过视频识别肢体震颤、抽搐、僵硬、步态异常等异常行为，辅助慢性病患者居家风险监测 |
| 🖼️ 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 | `PARKINSON_EPILEPSY_BEHAVIOR_RECOGNITION` |

Based on advanced computer vision technology, this feature conducts 24/7 intelligent scanning of designated surveillance
areas such as community stations, residential entrances, and office building lobbies. The system precisely identifies
express packages within the zone, automatically determining the presence and status of parcels. Perfectly suited for
express inventory checks and unattended notification scenarios, it triggers alerts immediately upon detecting new
arrivals or abnormal, effectively solving the problems of low efficiency and missed items in traditional manual
inspections, and significantly improving the management efficiency and security of last-mile logistics.

本功能搭载先进的视频分析算法，能够对帕金森病等慢性病患者的日常活动进行非接触式智能监测。系统通过捕捉并分析肢体震颤、抽搐、肌肉僵硬及步态异常等典型运动特征，自动识别病情波动或潜在风险。这一技术将专业的临床观察延伸至家庭场景，帮助医生远程掌握患者症状变化，为调整治疗方案提供客观依据，实现从被动就医到主动健康管理的模式转变

## 🎬 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

通过居家监控视频识别帕金森、癫痫患者的异常行为发作

### 2. 🛠️ 能力范围

| 序号 | 具体能力 |
|---:|---|
| 1 | 肢体震颤识别 |
| 2 | 抽搐识别 |
| 3 | 肌肉僵硬检测 |
| 4 | 步态异常识别 |
| 5 | 异常发作统计 |

### 3. ⚡ 触发条件

| 触发类型 | 触发规则 |
|---|---|
| ✅ 默认触发 | **默认触发**：当用户提供监控视频需要识别异常行为时，默认触发本技能 |
| 🔎 明确分析意图 | 当用户明确需要帕金森监测、癫痫识别时，提及震颤识别、抽搐检测、帕金森监测、癫痫识别等关键词，并且上传了视频/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、行为识别报告清单、识别报告列表、查询历史识别报告、显示所有识别报告、行为识别分析报告，查询帕金森癫痫行为识别分析报告 |

### 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.parkinson_epilepsy_behavior_recognition_analysis --list
```

| 类型 | 要求 |
|---|---|
| ✅ 必须 | 使用 `python -m scripts.parkinson_epilepsy_behavior_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
  ```

## 📸 监测要求 | Monitoring Requirements
| 要求项 | 说明 |
|---|---|
| 摄像头固定位置 | ，覆盖患者日常活动区域 |
| 光线充足 | ，避免过度曝光和大面积阴影 |
| 患者全身/半身 | 能够出现在画面中，便于观察步态和肢体动作 |

## 🚀 操作步骤 | Workf

_meta.json

{
  "ownerId": "kn7e2caqj7pnsvr9r7t8zenghs83xw7n",
  "slug": "smyx-parkinson-epilepsy-behavior-recognition-analysis",
  "version": "1.0.15",
  "publishedAt": 1791025765982
}

references/api_doc.md

# API 接口文档

此处用于存放帕金森癫痫行为识别分析 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_PARKINSON_EPILEPSY_BEHAVIOR_RECOGNITION_ANALYSIS` - 开放平台帕金森癫痫行为识别分析

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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