What makes Human Pose Recognition Skill | 人体姿态识别技能 notable?

1.9K downloads. Trust evidence available

How should Human Pose Recognition Skill | 人体姿态识别技能 be evaluated before use?

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agentCLAWHUBUnverified

Human Pose Recognition Skill | 人体姿态识别技能

Recognizes various poses such as standing, sitting, lying down, bending, raising hands, running, and falling. Supports abnormal pose recognition and fall warnings, suitable for security monitoring and elderly care. | 人体姿态识别技能，识别站立、坐姿、躺卧、弯腰、举手、奔跑、摔倒等多种人体姿态，支持肢体异常姿态识别和摔倒预警，适用于安防监测、老人看护等场景 Skill: Human Pose Recognition Skill | 人体姿态识别技能 Owner: smyx-sunjinhui Summary: Recognizes various poses such as standing, sitting, lying down, bending, raising hands, running, and falling. Supports abnormal pose recognition and fall warnings, suitable for security monitoring and elderly care. | 人体姿态识别技能，识别站立、坐姿、躺卧、弯腰、举手、奔跑、摔倒等多种人体姿态，支持肢体异常姿态识别和摔倒预警，适用于安防监测、老人看护等场景 Tags: latest:1.0.12 Version history: v1.0.12 | 2026-08

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.9k

Updated

Oct 9, 2026

Version

1.0.12

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.9K 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: 1.9K downloadsadoption · observed Oct 9, 2026
Latest release: 1.0.12release · observed Aug 27, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17cfv2h26b7hq5w47tgfy23xx83z9x6:smyx-human-posture-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-smyx-sunjinhui-smyx-human-posture-recognition-analysis/snapshot"

Documentation

CLAWHUB

123,553 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: "human-posture-recognition-analysis"
description: "Recognizes various poses such as standing, sitting, lying down, bending, raising hands, running, and falling. Supports abnormal pose recognition and fall warnings, suitable for security monitoring and elderly care. | 人体姿态识别技能，识别站立、坐姿、躺卧、弯腰、举手、奔跑、摔倒等多种人体姿态，支持肢体异常姿态识别和摔倒预警，适用于安防监测、老人看护等场景"
version: "1.0.15"
license: "MIT-0"
---

# 🧍 Human Pose Recognition Skill | 人体姿态识别技能
> **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 | **人体姿态识别技能** |
| 🎯 核心目标 | 人体姿态识别技能，识别站立、坐姿、躺卧、弯腰、举手、奔跑、摔倒等多种人体姿态，支持肢体异常姿态识别和摔倒预警，适用于安防监测、老人看护等场景 |
| 🖼️ 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_POSTURE_RECOGNITION` |

This capability supports the recognition of various human postures, including standing, sitting, lying down, bending,
raising hands, running, and falling, while featuring abnormal limb posture identification and fall warning. Based on
skeletal keypoint detection and temporal action analysis, the system effectively distinguishes between normal activities
and abnormal behaviors such as falls or rigidity. It is suitable for scenarios like security monitoring, nursing homes,
and care for seniors living alone. Once a fall or prolonged abnormal posture is detected, it automatically triggers
warning notifications, helping to ensure personnel safety.

本技能支持识别站立、坐姿、躺卧、弯腰、举手、奔跑、摔倒等多种人体姿态，并具备肢体异常姿态识别与摔倒预警能力。系统基于骨骼关键点检测与时序动作分析，能够有效区分正常活动与跌倒、僵持等异常行为，适用于安防监测、养老院及独居老人看护等场景。一旦检测到摔倒或长时间异常姿态，自动触发预警通知，助力保障人员安全。

## 🎬 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

通过视频对人体姿态进行识别分析，获取结构化的人体姿态识别报告

### 2. 🛠️ 能力范围

| 序号 | 具体能力 |
|---:|---|
| 1 | 多种姿态分类识别 |
| 2 | 摔倒异常检测 |
| 3 | 肢体异常姿态识别 |
| 4 | 姿态频次统计 |
| 5 | 异常预警 |

### 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 URL 或文件需要进行人体姿态识别时，默认触发本技能 |
| 🔎 明确分析意图 | 当用户明确需要进行姿态识别、摔倒检测、老人看护监测，提及姿态识别、摔倒预警、异常姿态等关键词，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** ：查看历史识别报告、姿态识别报告清单、识别报告列表、查询历史报告、显示所有识别报告、姿态识别历史记录，查询人体姿态识别分析报告 |

### 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_posture_recognition_analysis --list
```

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

_meta.json

{
  "ownerId": "kn7cyxkr2ymf7zwsrybpedg8xx83ywrj",
  "slug": "smyx-human-posture-recognition-analysis",
  "version": "1.0.12",
  "publishedAt": 1787818409641
}

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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