agentCLAWHUBUnverified

Stranger Recognition Skill | 陌生人识别技能

Identifies strangers appearing in surveillance areas through facial comparison; supports video stream and image detection, suitable for stranger warnings in residential communities, units, access control, and other scenarios. | 陌生人识别技能,通过人脸比对识别监控区域出现的陌生人员,支持视频流和图片检测,适用于小区、单位、门禁等场景的陌生人预警 Skill: Stranger Recognition Skill | 陌生人识别技能 Owner: 18072937735 Summary: Identifies strangers appearing in surveillance areas through facial comparison; supports video stream and image detection, suitable for stranger warnings in residential communities, units, access control, and other scenarios. | 陌生人识别技能,通过人脸比对识别监控区域出现的陌生人员,支持视频流和图片检测,适用于小区、单位、门禁等场景的陌生人预警 Tags: latest:1.0.15 Version history: v1.0.15 | 2026-09-29T22

OpenClaw

Rank

62

Safety

84

Downloads

2.3k

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. 2.3K 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
2.3K downloadsadoption · observed Oct 9, 2026
Latest release
1.0.15release · observed Sep 29, 2026
Handshake status
UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17f8q65zg3y98t86jdg1177g583whq8:smyx-stranger-recognition-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-18072937735-smyx-stranger-recognition-analysis/snapshot"

Documentation

CLAWHUB

128,815 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: "stranger-recognition-analysis"
description: "Identifies strangers appearing in surveillance areas through facial comparison; supports video stream and image detection, suitable for stranger warnings in residential communities, units, access control, and other scenarios. | 陌生人识别技能,通过人脸比对识别监控区域出现的陌生人员,支持视频流和图片检测,适用于小区、单位、门禁等场景的陌生人预警"
version: "1.0.17"
license: "MIT-0"
---

# 🕵️ Stranger Recognition Skill | 陌生人识别技能
> **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 | **陌生人识别技能** |
| 🎯 核心目标 | 陌生人识别技能,通过人脸比对识别监控区域出现的陌生人员,支持视频流和图片检测,适用于小区、单位、门禁等场景的陌生人预警 |
| 🖼️ 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 | `STRANGER_RECOGNITION` |

Based on high-precision facial recognition algorithms and feature vector comparison technology, this skill constructs an
intelligent stranger early warning mechanism for surveillance areas. The system supports dual-mode input via real-time
video stream analysis and static image detection, capable of performing millisecond-level feature matching between
captured facial information and a preset whitelist database (such as residents, employees, and regular visitors). Once
an unauthorized陌生 face is detected in scenarios like community entrances, key enterprise areas, or smart access
control points, the system immediately triggers a warning, automatically captures and stores the image, and pushes alert
information to the management terminal. This realizes a security upgrade from passive monitoring to active defense,
effectively safeguarding area security and privacy.

本技能基于高精度人脸识别算法与特征向量比对技术,构建了一套针对监控区域的智能陌生人预警机制。系统支持实时视频流分析与静态图片检测双模态输入,能够将采集到的人脸信息与预设的白名单数据库(如业主、员工、常客)进行毫秒级特征匹配。一旦在小区出入口、企事业单位重点区域或智能门禁场景中检测到未授权的陌生面孔,系统将立即触发预警,自动抓拍留存并推送告警信息至管理端,实现从被动监控到主动防御的安防升级,有效保障区域安全与隐私

## 🎬 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

通过视频流/图片进行陌生人识别,比对底库中已知人脸,识别出陌生人员,输出结构化的陌生人识别报告

### 2. 🛠️ 能力范围

| 序号 | 具体能力 |
|---:|---|
| 1 | 人脸检测 |
| 2 | 人脸比对 |
| 3 | 陌生人员识别 |
| 4 | 已知人员身份确认 |
| 5 | 陌生人预警 |

### 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/图片 URL 或文件需要进行陌生人识别时,默认触发本技能 |
| 🔎 明确分析意图 | 当用户明确需要进行陌生人识别、人脸比对、来访人员识别时,提及陌生人识别、人脸比对、陌生人员预警等关键词,并且上传了视频或图片 |
| 📚 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、陌生人识别报告清单、识别报告列表、查询历史报告、显示所有识别报告、陌生人识别历史记录,查询陌生人识别分析报告 |

### 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.stranger_recognition_analysis --list
```

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

_meta.json

{
  "ownerId": "kn7e2caqj7pnsvr9r7t8zenghs83xw7n",
  "slug": "smyx-stranger-recognition-analysis",
  "version": "1.0.15",
  "publishedAt": 1790720247728
}

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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Machine-readable data

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

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      "confidence": "medium",
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}

Record generated Oct 9, 2026.

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