🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activity and poses minimal risk. The metadata risk score is slightly elevated due to incomplete author details.

No network calls detected.
Incomplete author details.

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require internet access.
Shell: No shell execution detected, indicating the package does not execute external commands.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
Credentials: No credential harvesting patterns detected, indicating secure handling of sensitive information.
Metadata: The author's details are incomplete, suggesting potential lack of transparency or newness to the platform.

🔬 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: hotmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository OpenMagnetics/PyOpenMagnetics appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author name is missing or very short
Author "" 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 PyOpenMagnetics

Create a magnetic field visualization tool using the PyOpenMagnetics Python package. This tool will allow users to input parameters such as magnet type, dimensions, and material properties to simulate and visualize the magnetic field around a given magnet configuration. Here’s a detailed breakdown of the steps and features to implement in this project:

1. **Setup Environment**: Begin by setting up your development environment with Python and installing PyOpenMagnetics via pip.
2. **User Interface**: Develop a simple yet intuitive user interface where users can input details about their magnets, including type, size, and material. This could be done through command line arguments or a basic GUI if you’re comfortable with frameworks like Tkinter or PyQt.
3. **Simulation Engine**: Utilize PyOpenMagnetics to simulate the magnetic fields based on the user inputs. Ensure that the simulation accounts for various scenarios such as different types of magnets (e.g., Neodymium, Ferrite), varying sizes, and different materials.
4. **Visualization Module**: Implement a feature that visualizes the simulated magnetic fields. This could involve plotting the field lines and flux density using libraries like Matplotlib or Mayavi.
5. **Report Generation**: Add functionality to generate a report summarizing the simulation results. Include images of the magnetic field visualizations and key metrics such as maximum flux density, magnetic field strength at critical points, etc.
6. **Error Handling and Validation**: Ensure robust error handling and data validation to prevent incorrect simulations due to invalid inputs. For instance, check that all required parameters are provided and within acceptable ranges.
7. **Testing and Documentation**: Finally, thoroughly test the application to ensure accuracy and reliability. Document the process and provide clear instructions on how to use the tool effectively.