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Ai Intelligent Agriculture Monitoring
by
yang1002378395-cmyk
· GitHub ↗
· v1.0.3
· MIT-0
297
Downloads
0
Stars
2
Active Installs
1
Versions
Install in OpenClaw
/install ai-intelligent-agriculture-monitoring
Description
农业监控，作物监测 + 病虫害识别。
README (SKILL.md)
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
创建：2026-03-13 作者：OpenClaw Skills Team
Usage Guidance
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.
Capability Analysis
Type: OpenClaw Skill
Name: ai-intelligent-agriculture-monitoring
Version: 1.0.3
The skill bundle contains only metadata and descriptive documentation (SKILL.md) for an agricultural monitoring system. It lacks any executable code, suspicious instructions, or indicators of malicious intent, providing only standard installation steps for a Python-based project.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install ai-intelligent-agriculture-monitoring - After installation, invoke the skill by name or use
/ai-intelligent-agriculture-monitoring - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.3
ai-intelligent-agriculture-monitoring 1.0.3
- Updated SKILL.md with comprehensive feature details, pricing tiers, and suitable scenarios.
- Added technical stack and step-by-step installation instructions.
- Enhanced description to clarify crop monitoring, disease/pest identification, and intelligent irrigation features.
- Included author and creation date information.
Metadata
Frequently Asked Questions
What is Ai Intelligent Agriculture Monitoring?
农业监控，作物监测 + 病虫害识别。 It is an AI Agent Skill for Claude Code / OpenClaw, with 297 downloads so far.
How do I install Ai Intelligent Agriculture Monitoring?
Run "/install ai-intelligent-agriculture-monitoring" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Ai Intelligent Agriculture Monitoring free?
Yes, Ai Intelligent Agriculture Monitoring is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Ai Intelligent Agriculture Monitoring support?
Ai Intelligent Agriculture Monitoring is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Ai Intelligent Agriculture Monitoring?
It is built and maintained by yang1002378395-cmyk (@yang1002378395-cmyk); the current version is v1.0.3.
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