Xpersona
agentCLAWHUBUnverified

Plant Disease Recognition Skill | 植物病害识别技能

Accurately identifies plant diseases based on computer vision and deep learning, supports both image and video input, outputs structured diagnostic reports including disease type, cause and prevention suggestions. | 植物病害识别技能，基于计算机视觉与深度学习，支持视频/图片输入，精准识别植物病害类型，输出包含病害名称、致病原因、防治建议的结构化诊断报告，为农业生产和园艺养护提供病害预警 Skill: Plant Disease Recognition Skill | 植物病害识别技能 Owner: smyx-sunjinhui Summary: Accurately identifies plant diseases based on computer vision and deep learning, supports both image and video input, outputs structured diagnostic reports including disease type, cause and prevention suggestions. | 植物病害识别技能，基于计算机视觉与深度学习，支持视频/图片输入，精准识别植物病害类型，输出包含病害名称、致病原因、防治建议的结构化诊断报告，为农业生产和园艺养护提供病害预警 Tags: latest:1.0.11 Version history:

OpenClaw
View on ClawHubHomepage

Rank

62

Safety

84

Downloads

1.8k

Updated

Oct 10, 2026

Version

1.0.11

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
1.0.11release · observed Aug 29, 2026
Handshake status
UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17cfv2h26b7hq5w47tgfy23xx83z9x6:smyx-plant-disease-recognition-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-disease-recognition-analysis/snapshot"

Documentation

CLAWHUB

129,505 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: "plant-disease-recognition-analysis"
description: "Accurately identifies plant diseases based on computer vision and deep learning, supports both image and video input, outputs structured diagnostic reports including disease type, cause and prevention suggestions. | 植物病害识别技能，基于计算机视觉与深度学习，支持视频/图片输入，精准识别植物病害类型，输出包含病害名称、致病原因、防治建议的结构化诊断报告，为农业生产和园艺养护提供病害预警"
version: "1.0.14"
license: "MIT-0"
---

# 🍃 Plant Disease Recognition Skill | 植物病害识别技能
> **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 | **植物病害识别技能** |
| 🎯 核心目标 | 植物病害识别技能，基于计算机视觉与深度学习，支持视频/图片输入，精准识别植物病害类型，输出包含病害名称、致病原因、防治建议的结构化诊断报告，为农业生产和园艺养护提供病害预警 |
| 🖼️ 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_NUTRITION_DIAGNOSIS` |

Equipped with deep learning computer vision algorithms trained on large-scale plant disease datasets, this skill
accurately identifies various plant diseases by analyzing visual symptoms such as leaf spots, discoloration, mold, and
wilt on leaves, stems, and fruits. The system supports both static image and video input, can quickly distinguish
between fungal, bacterial, and viral diseases as well as physiological disorders, and combines environmental factors and
crop growth stage information to output a structured diagnostic report containing disease name, pathogenic cause, and
scientific prevention and control suggestions. It provides efficient and accurate disease early warning and management
solutions for agricultural production, garden maintenance, and plant protection, helping to detect diseases early and
take timely control measures to reduce yield losses.

本技能搭载了基于大规模植物病害数据集训练的深度学习计算机视觉算法，能够通过分析叶片、茎秆、果实等部位出现的病斑、变色、霉层、萎蔫等视觉症状，精准识别多种常见植物病害。系统同时支持视频/图片输入，可快速区分真菌性、细菌性、病毒性病害以及生理性障碍，并结合环境因素和作物生长阶段信息，输出包含病害名称、致病原因、科学防治建议在内的结构化诊断报告，为农业生产、园艺养护和植物保护提供高效精准的病害预警与管理方案，帮助尽早发现病害，及时采取防控措施，减少产量损失。

## 🎬 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

识别视频/图片中的植物病斑，准确判断病害类型、严重程度，输出病害诊断报告和防治建议

### 2. 🛠️ 能力范围

| 序号 | 具体能力 |
|---:|---|
| 1 | 病斑检测 |
| 2 | 病害分类 |
| 3 | 严重程度评估 |
| 4 | 防治建议输出 |

### 3. ⚡ 触发条件

| 触发类型 | 触发规则 |
|---|---|
| ✅ 默认触发 | **默认触发**：当用户提供植物发病部位视频/图片需要识别病害时，默认触发本技能 |
| 🔎 明确分析意图 | 当用户明确需要植物病害识别、病害诊断时，提及病害识别、病斑识别、叶子发黄、植物生病了、防治建议等关键词，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** ：查看历史识别报告、病害识别报告清单、识别报告列表、查询历史识别报告、显示所有识别报告、植物病害分析报告，查询植物病害识别分析报告 |
| 🖼️ 支持输入 | 视频（mp4/avi/mov）和图片（jpg/jpeg/png），支持本地文件上传和网络URL分析 |

### 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_disease_recognition_analysis --list
```

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

_meta.json

{
  "ownerId": "kn7cyxkr2ymf7zwsrybpedg8xx83ywrj",
  "slug": "smyx-plant-disease-recognition-analysis",
  "version": "1.0.11",
  "publishedAt": 1787964157403
}

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.

{
  "facts": [
    {
      "factKey": "vendor",
      "category": "vendor",
      "label": "Vendor",
      "value": "Clawhub",
      "href": "https://clawhub.ai/smyx-sunjinhui/skills/smyx-plant-disease-recognition-analysis",
      "sourceUrl": "https://clawhub.ai/smyx-sunjinhui/skills/smyx-plant-disease-recognition-analysis",
      "sourceType": "profile",
      "confidence": "medium",
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      "isPublic": true
    },
    {
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      "confidence": "medium",
      "observedAt": "2026-10-10T00:34:29.818Z",
      "isPublic": true
    },
    {
      "factKey": "traction",
      "category": "adoption",
      "label": "Adoption signal",
      "value": "1.8K downloads",
      "href": "https://clawhub.ai/smyx-sunjinhui/smyx-plant-disease-recognition-analysis",
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  ],
  "events": [
    {
      "eventType": "release",
      "title": "Release 1.0.11",
      "description": "- Updated skill version to 1.0.14. - SKILL.md content updated. - Removed the redundant file skill-card.md.",
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      "isPublic": true
    }
  ]
}

Record generated Oct 10, 2026.

Sponsored

Ads related to Plant Disease Recognition Skill | 植物病害识别技能 and adjacent AI workflows.