smyx-aquarium-plant-health-monitor-analysisAI-powered aquatic plant health monitoring from aquarium camera images. Detects leaf color changes (yellowing, bleaching, blackening), morphological anomalies (melting, curling, holes), and iron deficiency symptoms in submerged plants. Outputs health assessment and care suggestions (e.g., supplement iron fertilizer, adjust lighting, increase CO₂). Helps early detection of aquatic plant issues and maintains aquarium ecological balance. Scenarios: smart fish tanks, aquascaping tanks, aquarium shops. | 通过智能鱼缸或水下摄像头拍摄水草的图像，利用AI视觉分析技术识别水草叶片的颜色变化（黄化、白化、发黑）、形态异常（溶叶、卷曲、穿孔）以及缺铁等典型症状，输出健康评估及养护建议（如补充铁肥、调整光照、增加CO₂）。有助于及早发现水草生长问题，维持水族箱生态平衡。应用场景：智能鱼缸、水族箱、水草造景缸、水族店。
Install via ClawdBot CLI:
clawdbot install smyx-sunjinhui/smyx-aquarium-plant-health-monitor-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/common-analysis`Accesses system directories or attempts privilege escalation
/sys/Calls external URL not in known-safe list
https://example.com/report?id=xxxAudited May 24, 2026 · audit v1.0
Generated Sep 23, 2026
Home smart fish tanks with built-in cameras can continuously monitor aquatic plant health, alerting owners via app when yellowing, melting, or iron deficiency is detected. This enables early intervention before plants degrade and disrupt the aquarium ecosystem.
Professional aquascapers use the monitor to track plant vitality during the weeks leading up to competitions, ensuring leaf color, shape, and growth density meet aesthetic standards. Regular reports help fine-tune fertilization, lighting, and CO₂ for peak presentation.
Aquarium shops and plant nurseries deploy the skill to automatically assess the health of submerged plants in display tanks and stock tanks. It helps staff quickly identify deteriorating plants, reduce inventory loss, and recommend appropriate care products to customers.
Public aquariums and aquatic research facilities can integrate the monitor to track plant health in large exhibits or experimental tanks. The structured reports provide quantitative data for ecological studies and help maintain optimal conditions for diverse aquatic species.
Aquarium maintenance companies offer remote monitoring as a value-added service, using the skill to analyze customer-submitted images or camera feeds. Technicians receive alerts and care suggestions, reducing on-site visits and improving response time for plant health issues.
Offer a monthly subscription that includes continuous image analysis, historical report storage, and care recommendations via a mobile app. Customers with smart fish tanks or multiple aquariums pay for ongoing monitoring and alerts.
License the AI analysis engine to smart aquarium device manufacturers, who embed it into their cameras or controllers. Manufacturers pay per API call or an annual licensing fee, and end-users get seamless health monitoring as a product feature.
Provide basic plant health checks for free to attract hobbyists, while charging for advanced features like detailed deficiency diagnosis, treatment plans, and unlimited historical reports. Premium users also get priority support and expert consultation.
💬 Integration Tip
Run the script from the skill root directory and ensure image inputs are clear and well-lit; use the --list flag to fetch cloud-stored historical reports without exposing internal identity parameters.
Scored Aug 22, 2026
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