agentCLAWHUBUnverified
Pet Cage Cleanliness Detection | 宠物寄养笼舍清洁度识别
AI-powered cage cleanliness detection via fixed cameras in boarding kennels/pet shops; analyzes floor images to detect feces/urine coverage area ratio, triggers cleaning alerts when exceeding preset threshold (e.g. 5%). Scenarios: pet boarding centers, pet shops, animal hospitals, breeding facilities. | 通过寄养中心或宠物店笼舍内的固定摄像头，定时分析地面图像，识别粪便、尿液等排泄物的覆盖面积占比，当超过预设阈值（如5%）时自动触发清洁提醒。该技能可帮助管理人员及时清理笼舍，维持环境卫生，预防疾病传播，并提升宠物福利。应用场景：宠物寄养中心、宠物店、动物医院住院部、宠物繁育基地。
OpenClaw
Rank
62
Safety
84
Downloads
1.8k
Updated
Oct 10, 2026
Version
1.0.12
Source
CLAWHUB
About
What it does, and when to use it.
Capability contract not published. No trust telemetry is available yet. 1.8K downloads reported by the source. Last updated 10/10/2026.
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 10, 2026
- Protocol compatibility
- OpenClawcompatibility · observed Oct 10, 2026
- Adoption signal
- 1.8K downloadsadoption · observed Oct 10, 2026
- Latest release
- 1.0.12release · observed Oct 3, 2026
- Handshake status
- UNKNOWNsecurity
Install and run
Setup complexity: low.
clawhub skill install s17cfv2h26b7hq5w47tgfy23xx83z9x6:smyx-cage-cleanliness-detection-analysis- Install using `clawhub skill install s17cfv2h26b7hq5w47tgfy23xx83z9x6:smyx-cage-cleanliness-detection-analysis` in an isolated environment before connecting it to live workloads.
- No published capability contract is available yet, so validate auth and request/response behavior manually.
- Review the upstream CLAWHUB listing at https://clawhub.ai/smyx-sunjinhui/smyx-cage-cleanliness-detection-analysis before using production credentials.
Contract: missing
curl -s "https://www.xpersona.co/api/v1/agents/clawhub-smyx-sunjinhui-smyx-cage-cleanliness-detection-analysis/snapshot"
Documentation
CLAWHUB
124,262 characters of source documentation, loaded on request.
Extracted files
5 files captured from the source.
SKILL.md
--- name: "smyx-cage-cleanliness-detection-analysis" description: "AI-powered cage cleanliness detection via fixed cameras in boarding kennels/pet shops; analyzes floor images to detect feces/urine coverage area ratio, triggers cleaning alerts when exceeding preset threshold (e.g. 5%). Scenarios: pet boarding centers, pet shops, animal hospitals, breeding facilities. | 通过寄养中心或宠物店笼舍内的固定摄像头，定时分析地面图像，识别粪便、尿液等排泄物的覆盖面积占比，当超过预设阈值（如5%）时自动触发清洁提醒。该技能可帮助管理人员及时清理笼舍，维持环境卫生，预防疾病传播，并提升宠物福利。应用场景：宠物寄养中心、宠物店、动物医院住院部、宠物繁育基地。" version: "1.0.16" license: "MIT-0" --- # 🧼 Pet Cage Cleanliness Detection | 宠物寄养笼舍清洁度识别 > **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 | **宠物寄养笼舍清洁度识别** | | 🎯 核心目标 | 通过寄养中心或宠物店笼舍内的固定摄像头，定时分析地面图像，识别粪便、尿液等排泄物的覆盖面积占比，当超过预设阈值（如5%）时自动触发清洁提醒。该技能可帮助管理人员及时清理笼舍，维持环境卫生，预防疾病传播，并提升宠物福利。应用场景：宠物寄养中心、宠物店、动物医院住院部、宠物繁育基地。 | | 🖼️ 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 | `SMYX_CAGE_CLEANLINESS_DETECTION_ANALYSIS` | AI-powered cage cleanliness detection via fixed cameras in boarding kennels/pet shops; analyzes floor images to detect feces/urine coverage area ratio, triggers cleaning alerts when exceeding preset threshold (e.g. 5%). Scenarios: pet boarding centers, pet shops, animal hospitals, breeding facilities. 通过寄养中心或宠物店笼舍内的固定摄像头，定时分析地面图像，识别粪便、尿液等排泄物的覆盖面积占比，当超过预设阈值（如5%）时自动触发清洁提醒。该技能可帮助管理人员及时清理笼舍，维持环境卫生，预防疾病传播，并提升宠物福利。应用场景：宠物寄养中心、宠物店、动物医院住院部、宠物繁育基地。 ## 🤖 AI 角色 | AI Role | 角色要点 | 说明 | |---|---| | 说明 1 | **你是一个专业的宠物环境卫生管理AI。你的任务是分析宠物笼舍地面的固定视角图像，识别粪便、尿液等排泄物，计算其覆盖面积占笼舍可活动区域总面积的比例，并输出清洁度评估结果。不要提供医疗建议，仅输出基于视觉的定量分析。 ** | ## 🎬 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 通过笼舍内固定摄像头图像/视频进行清洁度识别分析，检测排泄物覆盖面积占比，输出清洁度评分，超过阈值时自动触发清洁提醒 ### 2. 🛠️ 能力范围 | 序号 | 具体能力 | |---:|---| | 1 | 图像/视频分析 | | 2 | 粪便识别与面积估算 | | 3 | 尿液污渍识别与面积估算 | | 4 | 排泄物覆盖面积占比计算 | | 5 | 清洁度评分（0-100） | | 6 | 阈值预警（默认5%） | | 7 | 定时/按需检测模式 | | 8 | 异常区域标注截图 | ### 3. ⚡ 触发条件 | 触发类型 | 触发规则 | |---|---| | ✅ 默认触发 | **默认触发**：当用户提供笼舍地面图像或视频 URL/文件需要分析时，默认触发本技能进行清洁度识别 | | 🔎 明确分析意图 | 当用户明确需要笼舍清洁度检测时，提及笼舍清洁、笼子卫生、寄养环境、排泄物覆盖、清洁提醒、笼舍清洁度评分等关键词，并且上传了图像或视频文件 | | 📚 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** ：查看历史清洁度报告、历史笼舍清洁报告、清洁度报告清单、笼舍卫生报告、查询历史清洁报告、显示所有笼舍清洁报告，查询环境卫生监测报告 | ### 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.smyx_cage_cleanliness_detection_analysis --list ``` | 类型 | 要求 | |---|---| | ✅ 必须 | 使用 `python -m scripts.smyx_cage_cleanliness_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 ### �
_meta.json
{
"ownerId": "kn7cyxkr2ymf7zwsrybpedg8xx83ywrj",
"slug": "smyx-cage-cleanliness-detection-analysis",
"version": "1.0.12",
"publishedAt": 1791060567152
}references/api_doc.md
# API 接口文档
此处用于存放宠物寄养笼舍清洁度识别 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
- 响应格式：JSON
## 主要接口
1. `/web/ai-analysis/v2/start-common-ai-analysis` - 启动笼舍清洁度识别分析任务
2. `/web/ai-analysis/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. `/health/order/api/getReportDetailExport?id={id}` - 导出完整报告
## 场景代码
- `SMYX_CAGE_CLEANLINESS_DETECTION_ANALYSIS` - 宠物寄养笼舍清洁度识别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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