Xpersona
agentCLAWHUBUnverified

Pet Detection Skill | 宠物检测技能

Detects cats, dogs, and birds appearing in the target area; supports video stream and image detection, suitable for home pet monitoring scenarios. | 宠物检测技能，检测出目标区域内出现的猫、狗、鸟，支持视频流和图片检测，适用于家庭宠物监控场景 Skill: Pet Detection Skill | 宠物检测技能 Owner: 18072937735 Summary: Detects cats, dogs, and birds appearing in the target area; supports video stream and image detection, suitable for home pet monitoring scenarios. | 宠物检测技能，检测出目标区域内出现的猫、狗、鸟，支持视频流和图片检测，适用于家庭宠物监控场景 Tags: latest:1.0.15 Version history: v1.0.15 | 2026-09-30T18:43:33.982Z | auto - Updated skill documentation with version and descriptive changes in SKILL.md. -

OpenClaw
View on ClawHubHomepage

Rank

62

Safety

84

Downloads

2.0k

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. 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
2K downloadsadoption · observed Oct 9, 2026
Latest release
1.0.15release · observed Sep 30, 2026
Handshake status
UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17f8q65zg3y98t86jdg1177g583whq8:smyx-pet-detection-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-pet-detection-analysis/snapshot"

Documentation

CLAWHUB

125,637 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: "pet-detection-analysis"
description: "Detects cats, dogs, and birds appearing in the target area; supports video stream and image detection, suitable for home pet monitoring scenarios. | 宠物检测技能，检测出目标区域内出现的猫、狗、鸟，支持视频流和图片检测，适用于家庭宠物监控场景"
version: "1.0.18"
license: "MIT-0"
---

# 🐾 Pet Detection Skill | 宠物检测技能
> **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 | **宠物检测技能** |
| 🎯 核心目标 | 宠物检测技能，检测出目标区域内出现的猫、狗、鸟，支持视频流和图片检测，适用于家庭宠物监控场景 |
| 🖼️ 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 | `PET_DETECTION` |

Tailored specifically for home pet monitoring scenarios, this feature is equipped with a high-sensitivity multi-species
recognition algorithm capable of precisely locking onto and distinguishing cats, dogs, and birds within the target area.
The system boasts robust adaptability across all scenarios, perfectly supporting both real-time video stream analysis
and static image detection. Whether monitoring dynamic daily activities or capturing static moments, it delivers
millisecond-level response times and high-precision identification. This technology breaks through the limitations of
single-species recognition, providing a comprehensive and flexible intelligent monitoring solution for multi-pet
households, ensuring that every movement of your pets within the home environment is accurately recorded and perceived.

本功能专为家庭宠物监控场景量身打造，搭载了高灵敏度的多物种识别算法，能够精准锁定并区分目标区域内的猫、狗及鸟类。系统具备强大的全场景适配能力，完美兼容实时视频流分析与静态图片检测，无论是动态的日常活动看护还是静态的画面捕捉，均能实现毫秒级响应与高精度判定。这一技术打破了单一物种识别的局限，为多宠家庭提供了全面、灵活的智能监测方案，确保宠物在家庭环境中的每一次活动都能被精准记录与感知。

## 🎬 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/图片对目标区域进行宠物检测，识别猫、狗、鸟等常见宠物，输出结构化的宠物检测报告

### 2. 🛠️ 能力范围

| 序号 | 具体能力 |
|---:|---|
| 1 | 宠物分类定位 |
| 2 | 宠物数量统计 |
| 3 | 存在性检测 |

### 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 或文件需要进行宠物检测时，默认触发本技能 |
| 🔎 明确分析意图 | 当用户明确需要进行宠物检测，提及宠物检测、猫咪检测、狗狗检测等关键词，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** ：查看历史检测报告、宠物检测报告清单、检测报告列表、查询历史报告、显示所有检测报告、宠物检测历史记录，查询宠物检测分析报告 |

### 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.pet_detection_analysis --list
```

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

_meta.json

{
  "ownerId": "kn7e2caqj7pnsvr9r7t8zenghs83xw7n",
  "slug": "smyx-pet-detection-analysis",
  "version": "1.0.15",
  "publishedAt": 1790793813982
}

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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Record generated Oct 10, 2026.

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