AI Analysis
Final verdict: SUSPICIOUS
The package has a moderate risk score due to missing maintainer information and lack of a linked git repository, raising concerns about its origin and maintenance.
- missing maintainer information
- no linked git repository
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution patterns detected, indicating no immediate risk of command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent related to code obfuscation.
- Credentials: No credential harvesting patterns detected, suggesting no immediate threat of secret or credential theft.
- Metadata: The package has some red flags, including missing maintainer information and no linked git repository, which could indicate potential risks.
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: ess.eu>
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 Shapespyer
Create a mini-application named 'SoftMatterSimulator' using the Python package 'Shapespyer'. This application will serve as a tool for researchers and students to explore the generation and equilibration of complex soft matter systems. The primary goal is to allow users to input parameters for various shapes and configurations, simulate their behavior under different conditions, and visualize the results in real-time. Here are the steps and features to implement: 1. **Setup**: Begin by installing the necessary packages including 'Shapespyer'. Ensure your environment is set up to support real-time visualization and data processing. 2. **User Interface**: Develop a user-friendly interface where users can select from a variety of pre-defined shapes (e.g., spheres, rods, vesicles) or input custom shapes. Allow them to adjust parameters such as size, density, and interaction forces. 3. **Simulation Engine**: Utilize 'Shapespyer' to generate these systems based on user inputs. Implement an algorithm to equilibrate the systems, ensuring they reach a stable state before simulation begins. 4. **Real-Time Visualization**: Integrate a visualization component that updates in real-time as the simulation progresses. Users should be able to observe the dynamic behavior of the soft matter systems. 5. **Data Export**: Provide functionality for users to export simulation data and visualizations. This could include options to save as image files, video recordings, or raw data formats. 6. **Educational Features**: Incorporate tooltips and explanations about the physics behind each parameter and system behavior. Aim to make the application educational while still being accessible for non-experts. 7. **Advanced Options**: For more experienced users, offer advanced settings to tweak the simulation parameters further, such as temperature control, pressure adjustments, and boundary conditions. 8. **Testing & Documentation**: Thoroughly test the application to ensure all features work correctly and are intuitive to use. Document the code and provide a user guide explaining how to use the application effectively. This project aims to bridge the gap between theoretical understanding and practical experimentation in the field of soft matter physics, leveraging the powerful capabilities of 'Shapespyer' to make complex simulations accessible and interactive.