AI Analysis
Final verdict: SUSPICIOUS
The package has low risks in terms of network calls, shell execution, and obfuscation, but the metadata risk is elevated due to sparse author information and potential inactivity of the maintainer.
- Metadata risk is relatively high at 4/10 due to sparse author information.
- Maintainer activity or credibility cannot be confirmed.
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
- Shell: No shell execution detected, reducing the risk of executing arbitrary commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The author information is sparse and the maintainer seems to be new or inactive, raising some suspicion.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
No shell execution patterns detected
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
Email domain looks legitimate: wuttaproject.org>
Suspicious Page Links
All external links appear legitimate
Git Repository History
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with WuttaFarm
Create a mini-application called 'HarvestTracker' using the Python package 'WuttaFarm'. This application will serve as a simplified interface for farmers to track their daily harvests, integrate seamlessly with their existing farmOS systems, and provide analytics on crop yields over time. The application should have the following core functionalities: 1. User Authentication: Implement a secure login system where farmers can sign up and log in to access their personal data. 2. Daily Harvest Logging: Farmers should be able to log the amount of each type of crop harvested daily, including details such as weight, quantity, and quality notes. 3. Integration with FarmOS: Utilize 'WuttaFarm' to connect with the farmer's existing farmOS system, ensuring that all logged data is synced in real-time. 4. Crop Analytics Dashboard: Provide a dashboard view that displays historical data on crop yields, trends, and seasonal impacts on harvests. 5. Alerts and Notifications: Set up a feature where users receive notifications about potential issues like low yields or unexpected drops in quality. 6. Mobile Compatibility: Ensure the application is fully responsive and usable on mobile devices, allowing farmers to log their data from anywhere on the farm. 7. Data Export: Allow users to export their harvest data in CSV format for further analysis or record-keeping. To utilize the 'WuttaFarm' package effectively, follow these steps: - Authenticate users and manage sessions securely. - Use 'WuttaFarm' functions to sync logged harvest data with the farmOS backend. - Leverage 'WuttaFarm' API endpoints to fetch and display crop yield data for the analytics dashboard. - Implement alert mechanisms through 'WuttaFarm' webhooks or scheduled tasks. - Test the application thoroughly on both desktop and mobile browsers. - Provide documentation and support for exporting data via the 'WuttaFarm' data export functionality.