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Intelligent Public Smoking Detection Skill | 公共场所吸烟行为智能检测技能

Automatically detects smoking behavior in target areas based on computer vision; supports real-time detection of video streams, images, and video files; identifies violation smoking behavior and triggers violation alerts, assisting in smoking control safety management for parks/communities/units. | 公共场所吸烟行为智能检测技能，基于计算机视觉自动检测目标区域内的吸烟行为，支持视频流、图片、视频文件实时检测，识别违规吸烟行为，触发违规预警，助力园区/社区/单位控烟安全管理 Skill: Intelligent Public Smoking Detection Skill | 公共场所吸烟行为智能检测技能 Owner: smyx-sunjinhui Summary: Automatically detects smoking behavior in target areas based on computer vision; supports real-time detection of video streams, images, and video files; identifies violation smoking behavior and triggers violation alerts, assisting in smoking control safety management for parks/communities/units. | 公共场所吸烟行为智能检测技能，基于计算机视觉

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 1, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17cfv2h26b7hq5w47tgfy23xx83z9x6:smyx-smoking-detection-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-smoking-detection-analysis/snapshot"

Documentation

CLAWHUB

127,216 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: "smoking-detection-analysis"
description: "Automatically detects smoking behavior in target areas based on computer vision; supports real-time detection of video streams, images, and video files; identifies violation smoking behavior and triggers violation alerts, assisting in smoking control safety management for parks/communities/units. | 公共场所吸烟行为智能检测技能，基于计算机视觉自动检测目标区域内的吸烟行为，支持视频流、图片、视频文件实时检测，识别违规吸烟行为，触发违规预警，助力园区/社区/单位控烟安全管理"
version: "1.0.18"
license: "MIT-0"
---

# 🔴 强制依赖声明

dependencies:

- skill_id: "smyx_common"    # 必须先有这个技能
  reason: "需要提取公共基座原始文本"

# 🚭 Intelligent Public Smoking Detection Skill | 公共场所吸烟行为智能检测技能
> **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 | **公共场所吸烟行为智能检测技能** |
| 🎯 核心目标 | 公共场所吸烟行为智能检测技能，基于计算机视觉自动检测目标区域内的吸烟行为，支持视频流、图片、视频文件实时检测，识别违规吸烟行为，触发违规预警，助力园区/社区/单位控烟安全管理 |
| 🖼️ 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 | `SMOKING_DETECTION` |

Based on advanced computer vision and deep learning algorithms, this feature provides 24/7, high-precision automated
monitoring of smoking behaviors within target areas. The system supports multi-source detection via real-time video
streams, static images, and local video files. By identifying cigarette objects, smoke patterns, and specific "
hand-to-mouth" motion characteristics, it effectively filters out environmental interference to accurately determine违规
smoking acts. Upon detecting an anomaly, the system immediately triggers a warning mechanism, notifying management
personnel through audio-visual alarms or push notifications. This facilitates a shift from passive surveillance to
active intervention, providing robust technical support for smoking control management and fire safety in industrial
parks, communities, and enterprises.

本功能基于先进的计算机视觉与深度学习算法，能够对目标区域内的吸烟行为进行全天候、高精度的自动化监测。系统支持接入实时视频流、静态图片及本地视频文件进行多重检测，通过识别香烟物体、烟雾形态及“手持-口部”的动作特征，有效过滤环境干扰，精准判定违规吸烟行为。一旦检测到异常，系统将立即触发预警机制，通过声光报警或消息推送通知管理人员，实现从被动监控到主动干预的转变，为园区、社区及企事业单位的控烟管理与消防安全提供强有力的技术支撑

## 🎬 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/图片进行公共场所吸烟行为智能检测，获取结构化的吸烟检测分析报告

### 2. 🛠️ 能力范围

| 序号 | 具体能力 |
|---:|---|
| 1 | 实时检测识别 |
| 2 | 视频流分析 |
| 3 | 图片识别 |
| 4 | 违规行为预警 |
| 5 | 历史检测报告查询 |

### 3. ⚡ 触发条件

| 触发类型 | 触发规则 |
|---|---|
| ✅ 默认触发 | **默认触发**：当用户提供视频/图片 URL 或文件需要进行吸烟检测时，默认触发本技能进行吸烟行为识别分析 |
| 🔎 明确分析意图 | 当用户明确需要进行吸烟检测时，提及吸烟检测、控烟检查、禁烟识别、违规吸烟、公共场所吸烟检测等关键词，并且上传了视频文件或者图片文件 |
| 📚 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** ：查看历史检测报告、吸烟检测报告清单、检测报告列表、查询历史报告、显示所有检测报告、吸烟检测历史记录，查询吸烟检测分析报告 |

### 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.smoking_detection_analysis --list
```

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

_meta.json

{
  "ownerId": "kn7cyxkr2ymf7zwsrybpedg8xx83ywrj",
  "slug": "smyx-smoking-detection-analysis",
  "version": "1.0.15",
  "publishedAt": 1790833707094
}

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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