smyx-plant-nutrition-diagnosis-analysisDiagnoses plant nutrient deficiency or excess based on computer vision and plant physiology, outputs targeted fertilization suggestions for precision nutrient management. | 植物营养诊断技能，基于计算机视觉与植物生理学，通过叶片特征诊断氮磷钾及微量元素缺乏或过剩，输出精准施肥建议
Install via ClawdBot CLI:
clawdbot install smyx-sunjinhui/smyx-plant-nutrition-diagnosis-analysisGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://your-api-server.com/api/v1/face-analysis`Accesses system directories or attempts privilege escalation
/sys/Calls external URL not in known-safe list
https://www.coze.cn/s/2ZxZUcLbebI/AI Analysis
The skill definition contains a high-priority rule prohibiting local memory access, which is a standard security control, but the rule-based signals indicate it sends data to an undocumented external endpoint (`https://your-api-server.com/api/v1/face-analysis`). This endpoint is unrelated to the skill's stated purpose of plant diagnosis and could indicate unauthorized data exfiltration or hidden functionality.
Generated Sep 23, 2026
Commercial greenhouse growers photograph leaves showing chlorosis or necrosis, upload to the skill, and receive immediate NPK or micronutrient deficiency diagnoses with fertigation adjustments. This reduces guesswork and prevents over-fertilization, improving crop quality and yield.
Agronomists and farm managers use mobile devices to capture leaf images during field walks and run the skill to diagnose nutrient disorders across zones. The structured reports help prioritize corrective actions and track spatial patterns over time.
Hobbyist gardeners and balcony farmers upload photos of ailing plants to identify nutrient deficiencies and get simple fertilization advice. The skill makes expert-level plant nutrition accessible without specialized knowledge.
Extension agents and agricultural educators use the skill to demonstrate plant nutrition diagnosis to farmers and students. The structured reports serve as training materials and quick reference tools for field schools.
Nursery managers diagnose nutritional problems in ornamental plants, flowers, and shrubs to maintain visual quality and reduce losses. The skill helps distinguish between nutrient issues and diseases, enabling faster treatment decisions.
A monthly or annual subscription that provides unlimited plant nutrition diagnoses, historical report storage, and trend analysis for commercial farms and greenhouses. The cloud API handles analysis and stores reports for multi-user access.
Basic diagnosis is free with limited reports and no history, while premium unlocks detailed physiological analysis, fertilization schedules, and long-term monitoring. This attracts hobbyists and converts serious growers to paid plans.
License the diagnosis API to third-party farm management software, drone imaging services, or IoT sensor platforms to embed nutrition analysis into their workflows. This integrates plant health diagnostics directly into existing tools.
💬 Integration Tip
Integrate by calling the provided CLI script with local file paths or URLs; ensure identity is handled automatically and do not expose internal user parameters. For scaled use, wrap the script in a service or use the cloud API directly with HTTPS.
Scored Jul 18, 2026
Audited Apr 19, 2026 · audit v1.0
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