agentCLAWHUBUnverified
Plant Wilting Quantification (Underwatering / Overwatering) | 植物萎蔫程度量化（缺水/水多）
AI-powered plant wilting quantification from full-plant images via smart pots or fixed cameras. Detects leaf-stem angle (leaf droop), stem straightness, and leaf turgidity to quantify wilting severity (0-100%). Optionally fuses soil-moisture sensor data to discriminate dehydration (underwatering) vs. waterlogging (root hypoxia), and auto-triggers watering or drainage prompts for precision irrigation. Scenarios: smart pots, home gardening, greenhouses, plant factories. | 通过智能花盆或固定摄像头拍摄植物整体图像，利用AI视觉分析技术检测叶片与茎秆的夹角（叶片下垂角度）、茎秆挺直程度以及叶片舒展度，量化萎蔫程度（0-100%）。可选结合土壤湿度传感器数据，综合判断萎蔫原因是缺水还是水涝（根部缺氧导致）。可自动触发灌溉或排水提示，帮助用户精准浇水。应用场景：智能花盆、家庭园艺、温室大棚、植物工厂。
OpenClaw
Rank
62
Safety
84
Downloads
1.8k
Updated
Oct 10, 2026
Version
1.0.16
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
- 1.0.16release · observed Sep 27, 2026
- Handshake status
- UNKNOWNsecurity
Install and run
Setup complexity: low.
clawhub skill install s17f8q65zg3y98t86jdg1177g583whq8:smyx-plant-wilting-quantification-analysis- Install using `clawhub skill install s17f8q65zg3y98t86jdg1177g583whq8:smyx-plant-wilting-quantification-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/18072937735/smyx-plant-wilting-quantification-analysis before using production credentials.
Contract: missing
curl -s "https://www.xpersona.co/api/v1/agents/clawhub-18072937735-smyx-plant-wilting-quantification-analysis/snapshot"
Documentation
CLAWHUB
140,832 characters of source documentation, loaded on request.
Extracted files
5 files captured from the source.
SKILL.md
--- name: "smyx-plant-wilting-quantification-analysis" description: "AI-powered plant wilting quantification from full-plant images via smart pots or fixed cameras. Detects leaf-stem angle (leaf droop), stem straightness, and leaf turgidity to quantify wilting severity (0-100%). Optionally fuses soil-moisture sensor data to discriminate dehydration (underwatering) vs. waterlogging (root hypoxia), and auto-triggers watering or drainage prompts for precision irrigation. Scenarios: smart pots, home gardening, greenhouses, plant factories. | 通过智能花盆或固定摄像头拍摄植物整体图像，利用AI视觉分析技术检测叶片与茎秆的夹角（叶片下垂角度）、茎秆挺直程度以及叶片舒展度，量化萎蔫程度（0-100%）。可选结合土壤湿度传感器数据，综合判断萎蔫原因是缺水还是水涝（根部缺氧导致）。可自动触发灌溉或排水提示，帮助用户精准浇水。应用场景：智能花盆、家庭园艺、温室大棚、植物工厂。" version: "1.0.15" license: "MIT-0" --- # 🥀 Plant Wilting Quantification (Underwatering / Overwatering) | 植物萎蔫程度量化（缺水/水多） > **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 | **植物萎蔫程度量化（缺水/水多）** | | 🎯 核心目标 | 通过智能花盆或固定摄像头拍摄植物整体图像，利用AI视觉分析技术检测叶片与茎秆的夹角（叶片下垂角度）、茎秆挺直程度以及叶片舒展度，量化萎蔫程度（0-100%）。可选结合土壤湿度传感器数据，综合判断萎蔫原因是缺水还是水涝（根部缺氧导致）。可自动触发灌溉或排水提示，帮助用户精准浇水。应用场景：智能花盆、家庭园艺、温室大棚、植物工厂。 | | 🖼️ 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_PLANT_WILTING_QUANTIFICATION_ANALYSIS` | AI-powered plant wilting quantification from full-plant images via smart pots or fixed cameras. Detects leaf-stem angle (leaf droop), stem straightness, and leaf turgidity to quantify wilting severity (0-100%). Optionally fuses soil-moisture sensor data to discriminate dehydration (underwatering) vs. waterlogging (root hypoxia), and auto-triggers watering or drainage prompts for precision irrigation. Scenarios: smart pots, home gardening, greenhouses, plant factories. 通过智能花盆或固定摄像头拍摄植物整体图像，利用AI视觉分析技术检测叶片与茎秆的夹角（叶片下垂角度）、茎秆挺直程度以及叶片舒展度，量化萎蔫程度（0-100%）。可选结合土壤湿度传感器数据，综合判断萎蔫原因是缺水还是水涝（根部缺氧导致）。可自动触发灌溉或排水提示，帮助用户精准浇水。应用场景：智能花盆、家庭园艺、温室大棚、植物工厂。 ## 🤖 AI 角色 | AI Role | 角色要点 | 说明 | |---|---| | 说明 1 | **假设你是一个专业的植物生理健康AI。你的任务是分析植物的整体图像（侧视图最佳），计算萎蔫指数（基于叶片与茎秆夹角、茎秆弯曲度等），并可结合土壤湿度数据（若提供）判断萎蔫原因（缺水或水涝）。不要提供具体浇水量，仅输出萎蔫程度和可能原因。** | ## 🎬 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 通过植物整体图像量化萎蔫程度，并结合可选土壤湿度数据判断萎蔫原因，输出干预方向建议 ### 2. 🛠️ 能力范围 | 序号 | 具体能力 | |---:|---| | 1 | 叶片下垂角度检测 | | 2 | 茎秆挺直程度评估 | | 3 | 叶片舒展度分析 | | 4 | 萎蔫指数综合评分（0-100%） | | 5 | 缺水/水涝原因判别（结合可选土壤湿度） | | 6 | 灌溉/排水方向建议 | ### 3. ⚡ 触发条件 | 触发类型 | 触发规则 | |---|---| | ✅ 默认触发 | **默认触发**：当用户提供植物整体图像或视频需要分析时，默认触发本技能进行萎蔫量化 | | 🔎 明确分析意图 | 当用户明确需要萎蔫监测时，提及植物萎蔫、叶子耷拉、茎秆下垂、缺水、水涝、浇水判断等关键词，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** ：查看历史萎蔫报告、历史萎蔫量化报告、萎蔫报告清单、显示所有萎蔫报告、查询浇水建议记录 | ### 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_plant_wilting_quantification_analysis --list ``` |
_meta.json
{
"ownerId": "kn7e2caqj7pnsvr9r7t8zenghs83xw7n",
"slug": "smyx-plant-wilting-quantification-analysis",
"version": "1.0.16",
"publishedAt": 1790547765206
}references/api_doc.md
# API 接口文档
此处用于存放植物萎蔫程度量化 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` - 启动通用 AI 分析任务（植物萎蔫量化）
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_PLANT_WILTING_QUANTIFICATION_ANALYSIS` - 植物萎蔫程度量化（缺水/水多）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 |
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Machine-readable data
The same record, as JSON, for agents and crawlers.
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