Intelligent Outdoor Care Monitoring & Analysis Tool | 户外看护智能监测分析工具
Detects targets such as people, vehicles, non-motorized vehicles, and pets within target areas; supports batch image analysis, suitable for outdoor surveillance scenarios like courtyards, orchards, and farms. | 户外看护智能监测分析技能,检测目标区域内的人、车、非机动车、宠物等目标,支持批量图片分析,适用于庭院、果园、养殖场等户外区域看护场景 Skill: Intelligent Outdoor Care Monitoring & Analysis Tool | 户外看护智能监测分析工具 Owner: 18072937735 Summary: Detects targets such as people, vehicles, non-motorized vehicles, and pets within target areas; supports batch image analysis, suitable for outdoor surveillance scenarios like courtyards, orchards, and farms. | 户外看护智能监测分析技能,检测目标区域内的人、车、非机动车、宠物等目标,支持批量图片分析,适用于庭院、果园、养殖场等户外区域看护场景 Tags: latest:1.0.17 Version history: v1.
Rank
62
Safety
84
Downloads
2.2k
Updated
Oct 9, 2026
Version
1.0.17
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
- 1.0.17release · observed Sep 29, 2026
- Handshake status
- UNKNOWNsecurity
Install and run
Setup complexity: low.
clawhub skill install s17f8q65zg3y98t86jdg1177g583whq8:smyx-outdoor-monitoring-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-18072937735-smyx-outdoor-monitoring-analysis/snapshot"
Documentation
CLAWHUB
123,190 characters of source documentation, loaded on request.
Extracted files
5 files captured from the source.
SKILL.md
--- name: "outdoor-monitoring-analysis" description: "Detects targets such as people, vehicles, non-motorized vehicles, and pets within target areas; supports batch image analysis, suitable for outdoor surveillance scenarios like courtyards, orchards, and farms. | 户外看护智能监测分析技能,检测目标区域内的人、车、非机动车、宠物等目标,支持批量图片分析,适用于庭院、果园、养殖场等户外区域看护场景" version: "1.0.17" license: "MIT-0" --- # 🏞️ Intelligent Outdoor Care Monitoring & Analysis Tool | 户外看护智能监测分析工具 > **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 | **户外看护智能监测分析工具** | | 🎯 核心目标 | 户外看护智能监测分析技能,检测目标区域内的人、车、非机动车、宠物等目标,支持批量图片分析,适用于庭院、果园、养殖场等户外区域看护场景 | | 🖼️ 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 | `OUTDOOR_MONITORING` | Equipped with advanced AI recognition algorithms, this feature conducts 24/7 automated monitoring of expansive outdoor areas such as courtyards, orchards, and breeding farms. The system features robust multi-object detection capabilities, precisely identifying various targets including personnel, motor vehicles, non-motorized vehicles, and pets within the zone. It supports efficient analysis and processing of batch images, enabling rapid screening of historical footage and the generation of detailed monitoring reports. This intelligent solution significantly enhances security efficiency and management levels in outdoor areas, suitable for scenarios like home courtyard care, agricultural production management, and asset security monitoring. 本功能搭载先进的AI智能识别算法,能够对庭院、果园、养殖场等户外广阔区域进行全天候自动化监测。系统具备强大的多目标检测能力,可精准识别区域内的人员、机动车辆、非机动车辆以及宠物等多种目标对象。支持批量图片的高效分析与处理,能够快速筛查历史影像数据,生成详细的监测报告。这一智能化解决方案极大地提升了户外区域的安防效率与管理水平,适用于家庭庭院看护、农业生产管理及资产安全监控等多种场景 ## 🎬 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 通过户外监控图片/视频进行目标检测,识别区域内出现的人、车、非机动车、宠物等闯入目标 ### 2. 🛠️ 能力范围 | 序号 | 具体能力 | |---:|---| | 1 | 多目标检测 | | 2 | 目标分类 | | 3 | 数量统计 | | 4 | 入侵判定 | | 5 | 风险等级评估 | | 6 | 异常闯入预警 | ### 3. ⚡ 触发条件 | 触发类型 | 触发规则 | |---|---| | ✅ 默认触发 | **默认触发**:当用户提供户外监控图片/视频需要检测闯入目标时,默认触发本技能进行户外看护分析 | | 🔎 明确分析意图 | 当用户明确需要进行户外看护、入侵检测时,提及庭院看护、果园监控、目标检测、户外安防等关键词,并且上传了图片或视频文件 | | 📚 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、户外看护报告清单、监测报告列表、查询历史监测报告、显示所有监测报告、户外监测分析报告,查询户外看护智能监测分析报告 | ### 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.outdoor_monitoring --list ``` | 类型 | 要求 | |---|---| | ✅ 必须 | 使用 `python -m scripts.outdoor_monitoring --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
_meta.json
{
"ownerId": "kn7e2caqj7pnsvr9r7t8zenghs83xw7n",
"slug": "smyx-outdoor-monitoring-analysis",
"version": "1.0.17",
"publishedAt": 1790643575088
}references/api_doc.md
# API 接口文档
此处用于存放户外看护智能监测分析 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/ai-analysis/v2/start-common-ai-analysis` - 启动AI分析任务
2. `/web/ai-analysis/v2/get-common-ai-analysis-result` - 获取分析结果
3. `/web/ai-analysis/page-common-ai-analysis-result` - 分页查询历史报告
4. `/ai/order/api/getReportDetailExport?id={id}` - 导出完整报告
## 场景代码
- `OPEN_OUTDOOR_MONITORING_ANALYSIS` - 开放平台户外看护监测分析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
{}AionUi
Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!
activepieces
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cherry-studio
AI productivity studio with smart chat, autonomous agents, and 300+ assistants.
CopilotKit
The Frontend for Agents & Generative UI. React + Angular
Machine-readable data
The same record, as JSON, for agents and crawlers.
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