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Agrifood Intelligence
by
ai-gaoqian
· GitHub ↗
· v1.0.0
· MIT-0
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Install in OpenClaw
/install agrifood-intelligence
Description
农业科技与食品安全智能分析技能。覆盖农作物病虫害识别、土壤分析建议、市场价格预测、食品安全合规、农药残留查询五大模块。内置常见作物病害知识库与全球农药MRL标准数据库。适用场景：精准农业决策、农产品贸易、食品安全审核、种植方案优化。
README (SKILL.md)
AgriFood Intelligence
核心能力
| 能力模块 | 功能描述 |
|---|---|
| 病虫害识别 | 基于作物照片识别常见病虫害（覆盖50+作物、300+病害），输出防治方案与推荐药剂 |
| 土壤分析 | 解读土壤检测报告（pH/NPK/有机质/微量元素），输出改良方案与施肥建议 |
| 市场价格 | 追踪全国主要农产品批发市场价格走势，支持同比/环比/季节性分析 |
| 食品安全 | 农药残留MRL合规检查（覆盖中国GB 2763/EU/Codex标准），输出风险等级 |
| 种植方案 | 基于气候/土壤/市场需求的多作物轮作方案优化，含投入产出比估算 |
触发场景
- 作物出现异常症状，需要远程诊断
- 土壤检测报告解读与改良方案
- 农产品定价与市场时机判断
- 出口农产品农药残留合规审查
- 种植结构调整与轮作规划
执行流程
- 问题采集：获取作物照片/症状描述/土壤数据/市场关注区域
- 智能诊断：病虫害图像识别 + 土壤参数解读 + 市场数据抓取
- 方案生成：综合输出防治方案/施肥计划/市场分析报告
- 合规审查：对目标市场进行农药残留合规比对
- 经济分析：计算各方案的成本收益，辅助决策
输出格式
- 病虫害诊断报告（病害名+置信度+防治方案+推荐药剂）
- 土壤改良方案（现状分析+改良措施+施肥量计算）
- 市场价格分析（趋势图数据+价格预测+交易建议）
- 食品安全合规报告（风险项+超标检测项+贸易影响）
- 种植规划方案（作物配置+轮作时间线+经济收益预估）
注意事项
- 病虫害识别基于视觉特征，部分病害需要实验室确诊
- 市场价格预测基于历史趋势，极端天气/政策变化可能造成偏差
- 农药使用建议需遵循当地法律法规和标签说明
- 食品安全MRL标准定期更新，建议每次使用前确认版本
- 本技能适用于中国及东南亚主要作物区
Usage Guidance
Use this as an advisory analysis aid. Crop diagnosis, pesticide recommendations, MRL compliance, and market forecasts should be verified against local regulations, product labels, lab testing, and authoritative market sources before making operational or trade decisions.
Capability Assessment
Purpose & Capability
The stated capabilities, including crop disease identification, soil report interpretation, market trend analysis, pesticide-residue compliance checks, and planting plan support, match the agrifood intelligence purpose.
Instruction Scope
Runtime instructions are limited to domain analysis and report generation; there are no prompt overrides, hidden commands, automatic execution steps, or unrelated agent-control instructions.
Install Mechanism
The artifact contains only one non-executable SKILL.md file and no install scripts, package hooks, binaries, background workers, or post-install behavior.
Credentials
Requested capabilities of image recognition, data analysis, and knowledge-base use are proportionate for crop photos, soil data, market analysis, and food-safety compliance checks.
Persistence & Privilege
No persistence mechanism, privilege escalation, credential access, local profile or session use, deletion behavior, or external exfiltration path is present in the artifact.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install agrifood-intelligence - After installation, invoke the skill by name or use
/agrifood-intelligence - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
AgriFood Intelligence 1.0.0 — 首发上线，支持农业科技与食品安全智能分析。
- 覆盖作物病虫害识别、土壤分析、市场价格预测、食品安全合规、农药残留查询五大核心模块
- 提供作物病害知识库与全球农药MRL标准数据库
- 支持图片识别、土壤检测报告解读和市场走势分析
- 输出多类型报告，包括防治建议、改良方案、价格分析与种植规划
- 适用于精准农业、食品安全审核及农产品贸易场景
Metadata
Frequently Asked Questions
What is Agrifood Intelligence?
农业科技与食品安全智能分析技能。覆盖农作物病虫害识别、土壤分析建议、市场价格预测、食品安全合规、农药残留查询五大模块。内置常见作物病害知识库与全球农药MRL标准数据库。适用场景：精准农业决策、农产品贸易、食品安全审核、种植方案优化。 It is an AI Agent Skill for Claude Code / OpenClaw, with 39 downloads so far.
How do I install Agrifood Intelligence?
Run "/install agrifood-intelligence" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Agrifood Intelligence free?
Yes, Agrifood Intelligence is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Agrifood Intelligence support?
Agrifood Intelligence is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Agrifood Intelligence?
It is built and maintained by ai-gaoqian (@ai-gaoqian); the current version is v1.0.0.
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