AI Analysis
Final verdict: SUSPICIOUS
The package has minimal direct risks such as network calls, shell executions, or obfuscation, but its metadata suggests low maintainer effort and lack of transparency, raising concerns about potential supply-chain risks.
- Low maintainer effort
- Lack of transparency
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package's functionality requires external communication.
- Shell: No shell execution patterns detected, indicating the package does not execute system commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
- Credentials: No credential harvesting patterns detected, suggesting no immediate threat to secrets or credentials.
- Metadata: The package shows signs of low maintainer effort and lack of transparency, which could indicate potential risk.
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: geode-solutions.com>
Suspicious Page Links
All external links appear legitimate
Git Repository History
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 6.0
3 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with Geode-Implicit
Create a mini-application that allows users to visualize and manipulate 3D shapes using implicit modeling techniques. The application will be built using the 'Geode-Implicit' Python package, which is designed for working with implicit models. Here are the steps and features to implement: 1. **Setup**: Begin by installing 'Geode-Implicit' and any other necessary dependencies such as NumPy and Matplotlib for visualization. 2. **Shape Creation**: Implement functions to create various basic 3D shapes like spheres, cubes, and tori using implicit functions provided by 'Geode-Implicit'. Each shape should be represented as an implicit function. 3. **Combination of Shapes**: Allow the user to combine multiple shapes using boolean operations (union, intersection, subtraction) supported by 'Geode-Implicit'. This will enable the creation of complex geometries from simpler ones. 4. **Visualization**: Use Matplotlib or a similar library to visualize the resulting shapes in 3D space. The user should be able to rotate, zoom, and pan the view. 5. **Parameter Adjustment**: Provide sliders or input fields for adjusting parameters of the shapes (e.g., radius, center coordinates). These adjustments should reflect in real-time on the visualization. 6. **Export Feature**: Include functionality to export the final 3D model in a common file format such as STL or OBJ, allowing the user to use it in other applications. 7. **Interactive Interface**: Develop a simple GUI using a toolkit like Tkinter or PyQt to make the application more user-friendly. The interface should allow easy access to all the functionalities mentioned above. The goal of this mini-application is to demonstrate the power of implicit modeling and how 'Geode-Implicit' can be used to create and manipulate complex 3D shapes efficiently.