agricultural-output-forecastingAgricultural Product Output Forecasting Based on Big Data. Predicts crop yields and agricultural output using historical data, weather patterns, and market t...
Install via ClawdBot CLI:
clawdbot install andyxcg/agricultural-output-forecastingGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
Report → https://github.com/openclaw/skills/issuesCalls external URL not in known-safe list
https://discord.gg/openclawAI Analysis
The skill's primary risk is sending data to an undocumented external endpoint (github.com/openclaw/skills/issues), which appears to be a bug reporting or logging mechanism rather than a core data processing API. While this constitutes an unknown data sink, the skill's functionality for agricultural forecasting and its transparent billing model suggest the external call is likely for analytics or support, not overt credential harvesting or data exfiltration.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 20, 2026
Farmers use this skill to predict crop yields for upcoming seasons, helping them plan planting schedules, resource allocation, and labor needs based on historical data and weather forecasts. It enables data-driven decisions to optimize production and reduce risks from unpredictable conditions.
Agribusinesses and distributors leverage the skill to forecast crop outputs, allowing them to streamline supply chains, manage inventory, and negotiate contracts with farmers. By integrating market trends, it helps anticipate demand fluctuations and ensure efficient logistics.
Insurance companies apply the skill to assess agricultural risks by predicting crop yields and analyzing weather impacts, aiding in underwriting policies and setting premiums. It provides data-backed insights to evaluate potential losses and improve risk management strategies.
Government agencies use the skill to forecast regional crop production, supporting policy-making for subsidies, food security, and disaster response. It helps analyze farming trends and allocate resources effectively to stabilize agricultural markets.
Researchers and academic institutions utilize the skill to study crop performance under varying conditions, integrating historical and climate data for experiments. It aids in developing new farming techniques and improving crop resilience through predictive analytics.
Monetizes through SkillPay billing, charging users per forecast call at a rate of 1 token (~0.001 USDT). This model targets occasional users like small farmers or analysts who need on-demand predictions without subscription commitments.
Offers 10 free calls per user to attract new customers, then transitions to paid usage after the trial. This model encourages adoption by allowing users to test features before committing, potentially converting them into paying clients.
Provides API access for larger organizations like agribusinesses or government bodies to integrate forecasting into their systems. Revenue comes from custom contracts, bulk usage discounts, or premium support services.
💬 Integration Tip
Start with demo mode to test functionality without an API key, then set up SkillPay environment variables after the free trial for seamless billing integration.
Scored Jun 17, 2026
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