agentCLAWHUBUnverified

Plant Wilting Monitoring Skill | 植物枯萎监测技能

Early monitoring of plant wilting based on hyperspectral imaging and computer vision, captures early wilting signs before visible symptoms, provides early warning for precision irrigation and disease control. | 植物枯萎监测技能,基于高光谱成像与计算机视觉,在肉眼可见症状前捕捉早期枯萎迹象,为精准灌溉和病害防控提供早期预警 Skill: Plant Wilting Monitoring Skill | 植物枯萎监测技能 Owner: smyx-sunjinhui Summary: Early monitoring of plant wilting based on hyperspectral imaging and computer vision, captures early wilting signs before visible symptoms, provides early warning for precision irrigation and disease control. | 植物枯萎监测技能,基于高光谱成像与计算机视觉,在肉眼可见症状前捕捉早期枯萎迹象,为精准灌溉和病害防控提供早期预警 Tags: latest:1.0.15 Version history: v1.0.15 | 2026-10-04T14:09:26.382Z

OpenClaw

Rank

62

Safety

84

Downloads

2.4k

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. 2.4K 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
2.4K downloadsadoption · observed Oct 9, 2026
Latest release
1.0.15release · observed Oct 4, 2026
Handshake status
UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17cfv2h26b7hq5w47tgfy23xx83z9x6:smyx-plant-wilting-monitoring-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-smyx-sunjinhui-smyx-plant-wilting-monitoring-analysis/snapshot"

Documentation

CLAWHUB

122,639 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: "plant-wilting-monitoring-analysis"
description: "Early monitoring of plant wilting based on hyperspectral imaging and computer vision, captures early wilting signs before visible symptoms, provides early warning for precision irrigation and disease control. | 植物枯萎监测技能,基于高光谱成像与计算机视觉,在肉眼可见症状前捕捉早期枯萎迹象,为精准灌溉和病害防控提供早期预警"
version: "1.0.19"
license: "MIT-0"
---

# 🥀 Plant Wilting Monitoring Skill | 植物枯萎监测技能
> **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 | **植物枯萎监测技能** |
| 🎯 核心目标 | 植物枯萎监测技能,基于高光谱成像与计算机视觉,在肉眼可见症状前捕捉早期枯萎迹象,为精准灌溉和病害防控提供早期预警 |
| 🖼️ 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 | `PLANT_WILTING_MONITORING` |

Equipped with advanced hyperspectral imaging combined with computer vision and Raman spectroscopy analysis technology,
this skill accurately captures early wilting signs of plants before visible symptoms appear to the naked eye. Through
in-depth analysis of leaf spectral reflectance, transpiration rate and molecular vibration fingerprints, the system
sensitively identifies physiological changes and water stress caused by water deficit, high temperature, or vascular
bundle diseases such as fusarium and verticillium wilt. Combined with temporal behavior modeling, this skill not only
distinguishes between environmental wilting and pathological wilt but also quantitatively evaluates the wilting grade,
providing critical early warning and decision support for precision irrigation and disease block.

本技能搭载先进的高光谱成像结合计算机视觉与拉曼光谱分析技术,能够在肉眼可见症状出现之前,精准捕捉植物的早期枯萎迹象。系统通过深度分析叶片的光谱反射率、蒸腾速率及分子振动指纹,敏锐识别由缺水、高温或维管束病害(如镰刀菌、黄萎病)引起的生理性变化与水分胁迫。结合时序行为建模,该技能不仅能区分环境性萎蔫与病理性枯死,还能对枯萎等级进行量化评估,为精准灌溉与病害阻断提供关键的早期预警与决策支持。

## 🎬 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

监测植物早期枯萎迹象,区分环境性缺水萎蔫和病理性枯萎,量化评估枯萎等级,提供早期预警

### 2. 🛠️ 能力范围

| 序号 | 具体能力 |
|---:|---|
| 1 | 早期枯萎特征提取 |
| 2 | 萎蔫原因区分(环境/病理) |
| 3 | 枯萎等级量化 |
| 4 | 早期预警输出 |

### 3. ⚡ 触发条件

| 触发类型 | 触发规则 |
|---|---|
| ✅ 默认触发 | **默认触发**:当用户提供植物叶片/植株视频/图片需要监测早期枯萎状况时,默认触发本技能 |
| 🔎 明确分析意图 | 当用户明确需要植物枯萎监测、早期预警时,提及植物萎蔫、叶子发蔫、枯萎检测、早期预警、缺水监测等关键词,并且上传了视频/图片,自动触发本技能 |
| 📚 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、枯萎监测报告清单、监测报告列表、查询历史监测报告、显示所有监测报告、植物枯萎分析报告,查询植物枯萎监测分析报告 |

### 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.plant_wilting_monitoring_analysis --list
```

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

## 📸 监测要求 | Monitoring Requirements
| 要求项 | 说明 |

_meta.json

{
  "ownerId": "kn7cyxkr2ymf7zwsrybpedg8xx83ywrj",
  "slug": "smyx-plant-wilting-monitoring-analysis",
  "version": "1.0.15",
  "publishedAt": 1791122966382
}

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

{}

skills/smyx_analysis/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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