🤖 AI Analysis

Final verdict: SAFE

The package exhibits low risks across all assessed categories and shows no signs of malicious behavior. The metadata risk is slightly elevated due to low activity and metadata quality, but this alone does not indicate malicious intent.

No network or shell execution detected
No signs of obfuscation or credential harvesting
Low metadata activity

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require external communication.
Shell: No shell execution detected, indicating no immediate signs of executing system commands.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: Low activity and metadata quality suggest potential low effort or inactivity, but no clear indicators of 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

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository SSCHAcode/F3ToyModel appears legitimate

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Only one version has ever been released — brand new package
Author "Lorenzo Monacelli" 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 F3ToyModel

Develop a web-based interactive tool using Python's 'F3ToyModel' package that allows users to simulate and visualize crystal structures based on different force field models. This tool will serve as an educational resource for students and researchers interested in material science and crystallography. Here are the key steps and features to include in your project:

1. **Setup Environment**: Begin by setting up a Python environment with Flask for the backend and Plotly/D3.js for visualization. Ensure you install 'F3ToyModel' alongside other necessary packages like NumPy and Matplotlib.

2. **User Interface**: Design a simple yet intuitive user interface where users can input parameters such as lattice constants, atom types, and initial positions of atoms in the crystal structure. Provide dropdown menus for selecting various force field models supported by 'F3ToyModel'.

3. **Simulation Engine**: Utilize 'F3ToyModel' to perform molecular dynamics simulations based on the user inputs. Allow users to specify simulation duration, temperature, and pressure conditions if applicable. Use 'F3ToyModel' functions to calculate energy potentials, forces, and other physical properties of the crystal during the simulation.

4. **Visualization Module**: Implement a real-time visualization module that updates the graphical representation of the crystal structure as the simulation progresses. Users should be able to rotate, zoom in/out, and pan the view of the crystal structure. Highlight any changes in atomic positions, bond lengths, or angles over time.

5. **Educational Content**: Include brief explanations about each force field model and their significance in predicting crystal behavior. Provide links to research papers or academic articles for further reading.

6. **Export Functionality**: Enable users to export the final simulated crystal structure in common file formats like .xyz or .pdb for use in other software tools.

7. **Testing & Documentation**: Thoroughly test the application to ensure accurate simulations and smooth visualizations. Document all code with clear comments and provide a README file explaining how to set up and run the project.