ClawKit Logo
ClawKitReliability Toolkit
Back to Registry
Official Verified

child-dangerous-behavior-recognition-analysis

Detects climbing, playing with fire, touching power sources, and dangerous actions near windows, providing real-time alerts. It is suitable for child safety supervision in scenarios such as homes, kindergartens, and nurseries. | 儿童危险行为识别技能,识别攀爬、玩火、触电源、窗边危险动作并实时预警,适用于家庭、幼儿园、托儿所等场景儿童安全监护

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/18072937735/smyx-child-dangerous-behavior-recognition-analysis
Or

Child Hazardous Behavior Recognition Tool | 儿童危险行为识别分析工具

This capability enables real-time recognition of hazardous actions by children—such as climbing, playing with fire, touching electrical sources, or lingering near windows—in settings like homes, kindergartens, or nurseries. By analyzing human skeletal keypoints and behavioral trajectories from video streams, the system instantly triggers local or remote alerts upon detecting high-risk behaviors, prompting guardians to intervene immediately. Ideal for 24/7 safety monitoring in indoor and semi-open areas, it effectively reduces the risk of accidental injuries and enhances supervision efficiency.

本技能可实时识别儿童在家庭、幼儿园或托儿所等场景中的攀爬、玩火、触电源及窗边逗留等危险动作。系统通过视频流分析人体骨骼关键点与行为轨迹,一旦检测到高风险行为,立即触发本地或远程预警,提示监护人员及时干预。适用于室内及半开放区域的24小时安全监护,有效降低儿童意外伤害风险,提升监护效率。

演示案例

⚠️ 强制记忆规则(最高优先级)

本技能明确约定:

  • 绝对禁止读取任何本地记忆文件:包括但不限于 memory/YYYY-MM-DD.mdMEMORY.md 等本地文件
  • 绝对禁止从 LanceDB 长期记忆中检索信息
  • 所有历史识别报告查询必须从云端接口获取,不得使用本地记忆中的历史数据
  • 即使技能调用失败或接口异常,也不得回退到本地记忆汇总

任务目标

  • 本 Skill 用于:通过监控视频对儿童活动进行危险行为识别,获取结构化的儿童危险行为识别报告
  • 能力包含:危险动作识别、实时危险预警、危险行为频次统计
  • 支持识别危险行为:攀爬、玩火、触碰电源、窗边危险动作
  • 触发条件:
    1. 默认触发:当用户提供监控视频 URL 或文件需要进行儿童危险行为识别时,默认触发本技能
    2. 当用户明确需要进行儿童安全监护、危险行为识别,提及攀爬、玩火、触电、窗边危险、儿童安全等关键词,并且上传了视频文件
    3. 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、危险行为识别报告清单、识别报告列表、查询历史报告、显示所有识别报告、儿童危险行为识别历史记录,查询儿童危险行为识别分析报告
  • 自动行为:
    1. 如果用户上传了附件或者视频文件,则自动保存到技能目录下 attachments
    2. ⚠️ 强制数据获取规则(次高优先级):如果用户触发任何历史报告查询关键词(如"查看所有识别报告"、" 显示所有儿童安全报告"、"查看历史报告"等),必须
      • 直接使用 python -m scripts.child_dangerous_behavior_recognition_analysis --list --open-id 参数调用 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
      • 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

  • 依赖说明:scripts 脚本所需的依赖包及版本
    requests>=2.28.0
    

操作步骤

🔒 open-id 获取流程控制(强制执行,防止遗漏)

在执行儿童危险行为识别前,必须按以下优先级顺序获取 open-id:

第 1 步:【最高优先级】检查技能所在目录的配置文件(优先)
        路径:skills/smyx_common/scripts/config.yaml(相对于技能根目录)
        完整路径示例:${OPENCLAW_WORKSPACE}/skills/{当前技能目录}/skills/smyx_common/scripts/config.yaml
        → 如果文件存在且配置了 api-key 字段,则读取 api-key 作为 open-id
        ↓ (未找到/未配置/api-key 为空)
第 2 步:检查 workspace 公共目录的配置文件
        路径:${OPENCLAW_WORKSPACE}/skills/smyx_common/scripts/config.yaml
        → 如果文件存在且配置了 api-key 字段,则读取 api-key 作为 open-id
        ↓ (未找到/未配置)
第 3 步:检查用户是否在消息中明确提供了 open-id
        ↓ (未提供)
第 4 步:❗ 必须暂停执行,明确提示用户提供用户名或手机号作为 open-id

⚠️ 关键约束:

  • 禁止自行假设,自行推导,自行生成 open-id 值(如 openclaw-control-ui、default、child123 等)
  • 禁止跳过 open-id 验证直接调用 API
  • 必须在获取到有效 open-id 后才能继续执行分析
  • 如果用户拒绝提供 open-id,说明用途(用于保存和查询儿童危险行为识别报告记录),并询问是否继续

Metadata

Stars4473
Views0
Updated2026-05-01
View Author Profile
AI Skill Finder

Not sure this is the right skill?

Describe what you want to build — we'll match you to the best skill from 16,000+ options.

Find the right skill
Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-18072937735-smyx-child-dangerous-behavior-recognition-analysis": {
      "enabled": true,
      "auto_update": true
    }
  }
}
Safety NoteClawKit audits metadata but not runtime behavior. Use with caution.

Related Skills

fire-detection-analysis

Real-time detection of flames and smoke in video and image scenes. Suitable for fire early warning in industrial parks, forests, warehouses, and other locations. | 火情烟雾检测技能,实时检测视频/图片场景中的火焰、烟雾,适用于工业园区、森林、仓库等场所火情预警

18072937735 4473

electric-vehicle-detection-analysis

Automatically detects electric motorcycles and e-bikes in restricted areas based on computer vision. It supports real-time detection for both video streams and images, counts the number of illegal parking or driving instances, and triggers violation alerts to assist with safety management in parks, communities, and organizations. | 电动车智能检测技能,基于计算机视觉自动检测禁行区域内的电动摩托车/电动车,支持视频流和图片实时检测,统计违规停放/行驶数量,触发违规预警,助力园区/社区/单位安全管理

18072937735 4473

familiar-person-recognition-analysis

Identifies acquaintances in videos or images through face photo comparison. Supports database enrollment, and the recognition results tell you who is at which location. Suitable for identity verification in homes and office areas. | 熟人识别分析技能,通过人脸图片比对识别视频/图片中的熟人,支持底库录入,识别结果告诉你哪个位置是谁,适用于家庭、办公区域身份核验

18072937735 4473

fall-detection-image-analysis

Detects whether anyone has fallen within a specified target area. Supports both image and short video analysis. Suitable for scenarios such as home care for elderly people living alone and safety monitoring in nursing homes. | 检测目标区域内是否有人跌倒,支持图片和短视频检测,适用于独居老人居家看护、养老院安全监测等场景

18072937735 4473

pet-breed-individual-recognition-analysis

Accurately identifies cat and dog breeds and supports distinguishing between different individuals in multi-pet households; an essential assistant for intelligent pet butlers. | 宠物品种个体识别技能,精准识别猫狗宠物品种,支持多宠家庭区分不同独立个体,智能宠物管家好帮手

18072937735 4473