🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low individual risks across various categories, but the metadata risk slightly raises suspicion due to the maintainer having only one package. This warrants closer monitoring.

Metadata risk noted due to single package from maintainer
No immediate signs of malicious activity detected

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires external resources.
Shell: No shell execution detected, reducing risk of command injection or system compromise.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
Credentials: No credential harvesting patterns detected, indicating secure handling of secrets and credentials.
Metadata: The maintainer has only one package, which could indicate a new or less active user, raising some suspicion but not enough to conclusively identify malicious intent.

🔬 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: schaathun.net>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository CosmoAI-AES/CosmoSim appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Hans Georg Schaathun et al" 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 CosmoSim

Your task is to develop a user-friendly gravitational lens simulation tool using the Python package 'CosmoSim'. This application will allow users to input parameters such as mass distribution, source galaxy position, and lens galaxy characteristics to visualize and analyze the effects of gravitational lensing. Here are the steps and features you need to implement:

1. **User Interface**: Design a simple web-based interface where users can input their parameters. Use Flask or Django for backend development and HTML/CSS/JavaScript for frontend.
2. **Parameter Input**: Allow users to specify the mass distribution of the lens (e.g., singular isothermal sphere), the positions of the source galaxy and lens galaxy, and any other relevant parameters.
3. **Simulation Execution**: Utilize the 'CosmoSim' package to perform the gravitational lensing simulation based on the user inputs. Ensure that the package is installed via pip and properly imported into your application.
4. **Visualization**: Display the results of the simulation in real-time on the user interface. Users should be able to see the distorted images of the source galaxy due to the gravitational field of the lens galaxy.
5. **Customization Options**: Provide options for users to customize the visualization, such as changing colors, adjusting scale, and toggling between different views (e.g., magnified view, overview).
6. **Educational Content**: Include explanatory text and tooltips that describe the concepts behind gravitational lensing and the significance of each parameter.
7. **Export Functionality**: Allow users to export the simulation results as images or data files for further analysis or presentation.
8. **Error Handling**: Implement robust error handling to ensure the application gracefully handles invalid inputs and provides useful feedback to the user.

Your goal is to create an engaging and educational tool that showcases the capabilities of the 'CosmoSim' package while providing a valuable resource for students and researchers interested in gravitational lensing.