Xpersona
agentCLAWHUBUnverified

Workplace Phone Usage Smart Monitoring Skill | 职场玩手机智能监测技能

Based on computer vision, automatically detects employees playing with phones during work hours, supports real-time video stream and image detection, counts the duration and frequency of phone usage, helps enterprises standardize office order, and improves work efficiency. | 职场玩手机智能监测技能，基于计算机视觉自动检测工作时间员工玩手机行为，支持视频流和图片实时检测，统计玩手机时长与频次，帮助企业规范办公秩序，提升工作效率 Skill: Workplace Phone Usage Smart Monitoring Skill | 职场玩手机智能监测技能 Owner: smyx-sunjinhui Summary: Based on computer vision, automatically detects employees playing with phones during work hours, supports real-time video stream and image detection, counts the duration and frequency of phone usage, helps enterprises standardize office order, and improves work efficiency. | 职场玩手机智能监测技能，基于计算机视觉自动检测工作时间员工玩手机行为，支持视频流和图片实时检测

OpenClaw
View on ClawHubHomepage

Rank

62

Safety

84

Downloads

2.2k

Updated

Oct 9, 2026

Version

1.0.13

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 2.2K 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
2.2K downloadsadoption · observed Oct 9, 2026
Latest release
1.0.13release · observed Oct 3, 2026
Handshake status
UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17cfv2h26b7hq5w47tgfy23xx83z9x6:smyx-phone-usage-monitoring-analysis
  1. 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.
  2. 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-phone-usage-monitoring-analysis/snapshot"

Documentation

CLAWHUB

141,039 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: "phone_usage_monitoring_analysis"
description: "Based on computer vision, automatically detects employees playing with phones during work hours, supports real-time video stream and image detection, counts the duration and frequency of phone usage, helps enterprises standardize office order, and improves work efficiency. | 职场玩手机智能监测技能，基于计算机视觉自动检测工作时间员工玩手机行为，支持视频流和图片实时检测，统计玩手机时长与频次，帮助企业规范办公秩序，提升工作效率"
version: "1.0.19"
license: "MIT-0"
---

# 📱 Workplace Phone Usage Smart Monitoring Skill | 职场玩手机智能监测技能
> **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 | **职场玩手机智能监测技能** |
| 🎯 核心目标 | 职场玩手机智能监测技能，基于计算机视觉自动检测工作时间员工玩手机行为，支持视频流和图片实时检测，统计玩手机时长与频次，帮助企业规范办公秩序，提升工作效率 |
| 🖼️ 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 | `PHONE_USAGE_MONITORING` |

Based on advanced computer vision and human pose estimation algorithms, this feature automatically detects and
identifies employees' phone usage during working hours. The system supports dual detection for both real-time video
streams and static images, effectively distinguishing between normal work operations and unauthorized phone usage by
precisely analyzing hand movements, device characteristics, and behavioral patterns. Additionally, the system
automatically tracks the duration and frequency of phone usage for each employee and generates visualized data reports,
enabling enterprises to monitor office discipline in real-time. This provides data support for standardizing employee
behavior and optimizing management strategies, thereby effectively improving overall work efficiency.

本功能基于先进的计算机视觉与人体姿态估计算法，能够在工作时间内自动检测并识别员工的玩手机行为。系统支持对实时视频流和静态图片进行双重检测，通过精准分析手部动作、设备特征及行为模式，有效区分正常工作操作与违规玩手机行为。同时，系统会自动统计每位员工的玩手机时长与频次，生成可视化数据报表，帮助企业实时掌握办公秩序状况，为规范员工行为、优化管理策略提供数据支撑，从而有效提升整体工作效率

## 🎬 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

通过办公区域监控视频/图片进行职场玩手机行为智能分析，自动识别工作时间员工玩手机行为，生成办公效率监测报告

### 2. 🛠️ 能力范围

| 序号 | 具体能力 |
|---:|---|
| 1 | 视频/图片分析 |
| 2 | 手机物体检测 |
| 3 | 玩手机行为识别 |
| 4 | 时长统计 |
| 5 | 频次分析 |
| 6 | 违规行为预警 |
| 7 | 办公效率建议生成 |

### 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/图片 URL 或文件需要检测玩手机行为时，默认触发本技能进行办公行为监测分析 |
| 🔎 明确分析意图 | 当用户明确需要进行办公监测、玩手机检测、员工行为管理，提及玩手机监测、办公效率、员工行为监控、在岗状态检测等关键词，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** ：查看历史监测报告、历史效率报告、玩手机监测报告清单、查询历史报告、查看监测报告列表、显示所有监测报告、显示玩手机分析报告，查询办公行为监测报告 |

### 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.phone_usage_monitoring_analysis --list
```

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

_meta.json

{
  "ownerId": "kn7cyxkr2ymf7zwsrybpedg8xx83ywrj",
  "slug": "smyx-phone-usage-monitoring-analysis",
  "version": "1.0.13",
  "publishedAt": 1791040406916
}

references/api_doc.md

# 职场玩手机行为监测分析 API 文档

## 接口概述

本技能调用云端视觉AI接口，自动识别办公区域员工玩手机行为，支持视频流动态统计和图片静态检测。

## 支持检测的行为类型

| 行为类型 | 描述 | 统计方式 |
|----------|------|----------|
| 手持手机 | 员工手持智能手机，屏幕朝向面部 | 按次数/时长统计 |
| 低头看手机 | 员工低头注视手机屏幕 | 按时长分段统计 |
| 持续使用 | 连续使用手机超过设定时长（默认3分钟） | 记为违规行为 |
| 桌面放置 | 手机放置在桌面但未使用 | 不计数 |

## 支持检测区域

| 区域类型 | 特点 |
|----------|------|
| 开放办公区 | 多人员工同时监测 |
| 独立工位 | 单人固定工位监测 |
| 会议室 | 会议场景监测 |
| 其他区域 | 自定义区域 |

## API 响应字段说明

### 基础信息

| 字段 | 类型 | 说明 |
|------|------|------|
| id | string | 分析记录ID |
| data.analysis_time | string | 分析时间 |
| data.person_detection.status | string | 人员检测状态 |
| data.person_detection.quality_score | int | 画面质量评分 0-100 |

### 诊断结果

| 字段 | 类型 | 说明 |
|------|------|------|
| data.diagnosis.compliance_score | int | 整体合规评分 0-100（分数越高越合规）|
| data.diagnosis.overall_compliance | string | 整体合规状况：合规/轻度违规/中度违规/严重违规 |
| data.diagnosis.total_phone_usage_count | int | 检测到玩手机行为总次数 |
| data.diagnosis.total_phone_usage_duration | int | 累计玩手机总时长（秒）|
| data.diagnosis.phone_usage_behavior | object | 各行为识别结果 |
| data.diagnosis.usage_duration | object | 时长分段统计结果 |
| data.diagnosis.area_compliance | object | 各区域合规评估 |

### 预警与建议

| 字段 | 类型 | 说明 |
|------|------|------|
| data.efficiency_warnings | array[string] | 效率风险警示信息列表 |
| data.improvement_suggestions | array[string] | 效率提升建议列表 |

## 错误码说明

| 错误码 | 说明 |
|--------|------|
| 200 | 请求成功 |
| 400 | 请求参数错误 |
| 401 | API 鉴权失败 |
| 413 | 文件大小超出限制 |
| 415 | 不支持的文件格式 |
| 500 | 服务器内部错误 |
| 503 | 服务繁忙，请稍后重试 |

## 合规提示

1. 使用本工具应当遵守国家相关劳动法律法规
2. 需要提前告知员工监控范围和目的，保护员工个人隐私
3. 本工具仅辅助办公管理，不建议作为唯一奖惩依据
4. 建议合理设定允许使用手机的休息时段，平衡工作与休息

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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Machine-readable data

The same record, as JSON, for agents and crawlers.

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      "label": "Vendor",
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}

Record generated Oct 10, 2026.

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