Ai Intelligent Agriculture Monitoring

农业监控，作物监测 + 病虫害识别。

Security Scan

The skill's description matches an agriculture monitoring app, but its runtime instructions ask you to clone and run code from GitHub (and pip-install dependencies) while the package metadata declares no install requirements or credentials — this mismatch and the need to execute remote code merit caution and further review.

Purpose & Capability

The stated purpose (crop monitoring, pest detection, soil analysis, IoT sensors) is coherent with a Python/FastAPI app. However the registry metadata lists no required binaries or environment variables while the SKILL.md explicitly instructs cloning a GitHub repo and running Python/pip commands — a clear mismatch in declared vs. actual needs.

Instruction Scope

SKILL.md tells the user to run: git clone https://github.com/openclaw-skills/ai-intelligent-agriculture-monitoring; pip install -r requirements.txt; python app.py. Those steps instruct executing remote code without showing what the code does, what network endpoints it will contact, or what credentials it expects. The instructions do not constrain or document runtime behaviors (open ports, external APIs, telemetry), so running them could execute arbitrary actions.

Install Mechanism

Install is via git clone from github.com — a well-known host, which is lower risk than an arbitrary URL, but still involves pulling and executing third-party code. The absence of an explicit install spec in the registry despite these instructions is inconsistent and increases risk because the platform's install-time checks may be bypassed.

Credentials

No environment variables or credentials are declared, but the claimed features (IoT sensors, data stores, model inference, irrigation control) typically require API keys, device credentials, or cloud access. The lack of declared secrets is either an omission or indicates the SKILL.md omits important configuration — either way it's a red flag.

Persistence & Privilege

The skill does not request always:true and declares no system config paths or persistent privileges. It is user-invocable and can be invoked autonomously by the agent (platform default), but there are no additional privilege flags set.

What to consider before installing

This SKILL.md asks you to clone and run code from a GitHub repo but the package metadata doesn't declare the required tools or any credentials — that's an inconsistency. Before installing: inspect the GitHub repo (read the code, requirements.txt, and any startup scripts), confirm the repo's provenance (owner, commits, stars), run the code in an isolated environment or VM, review what network endpoints the app contacts and whether it requires device/cloud credentials, and prefer skills that declare their install steps and required secrets in the registry. If you can't review the code yourself, don't run the pip install / python app.py steps on a production machine.

AI 智能农业监控系统

描述

农业监控，作物监测 + 病虫害识别。

功能

• 作物监测（生长监测）
• 病虫害识别（病害检测）
• 土壤分析（土壤检测）
• 灌溉管理（智能灌溉）
• 产量预测（产量预估）

定价

• 基础版：¥199/月（10 亩）
• 专业版：¥999/月（100 亩）
• 企业版：¥2999/月（无限亩）

适用场景

• 智慧农业
• 农场管理
• 温室种植
• 精准农业

技术栈

• Python + FastAPI
• 图像识别
• IoT 传感器
• 数据分析

安装

git clone https://github.com/openclaw-skills/ai-intelligent-agriculture-monitoring
cd ai-intelligent-agriculture-monitoring
pip install -r requirements.txt
python app.py

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创建：2026-03-13 作者：OpenClaw Skills Team