🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has minimal detected risks in terms of network, shell, and obfuscation activities, but the metadata risk score is elevated due to its newness and lack of additional context.

Metadata risk score is high
Package is newly created with minimal activity

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
Shell: No shell execution patterns detected, indicating no potential for executing arbitrary commands.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package is newly created with minimal activity and no additional metadata, raising suspicion but not conclusive evidence of malice.

🔬 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 score 5.0

Git history flags: Repository created very recently: 3 day(s) ago (2026-06-02T17:10:06Z)

Repository created very recently: 3 day(s) ago (2026-06-02T17:10:06Z)
Repository has zero stars and zero forks

⚠ Maintainer History score 8.0

4 maintainer concern(s) found

Only one version has ever been released — brand new package
Package is very new: uploaded 1 day(s) ago
Author "Abhas Kumar Sinha" 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 QOrbit

Your task is to create a simple yet engaging educational tool using the 'QOrbit' package, which is designed to simulate quantum mechanics in a user-friendly environment. This tool will help users visualize and understand basic concepts of quantum mechanics through interactive simulations. Here’s a detailed plan on how to proceed:

1. **Project Title**: Quantum Orbital Explorer
2. **Objective**: To provide an intuitive interface where users can input parameters for various quantum states and visualize the corresponding wave functions and probability distributions.
3. **Features**:
- User Input: Allow users to input values for principal quantum number (n), angular momentum quantum number (l), and magnetic quantum number (m).
- Visualization: Display the resulting wave function and probability distribution in both 2D and 3D plots.
- Educational Text: Provide brief explanations about each quantum state and its significance in quantum mechanics.
- Interactive Controls: Enable zooming, panning, and rotating of the 3D plot for better understanding of spatial properties.
4. **Utilizing QOrbit Package**:
- Use QOrbit to calculate the wave functions based on user inputs.
- Integrate matplotlib or similar libraries for visualization purposes.
- Implement tkinter or streamlit for the graphical user interface.
5. **Development Steps**:
- Step 1: Set up the project structure and install necessary packages including QOrbit.
- Step 2: Develop the backend logic for handling user inputs and generating wave functions using QOrbit.
- Step 3: Design the frontend interface focusing on ease of use and clarity of information display.
- Step 4: Integrate the backend calculations with the frontend visualization tools.
- Step 5: Add additional features such as saving visualizations as images or videos.
6. **Testing and Documentation**:
- Test the application thoroughly to ensure accuracy of wave function calculations and smooth operation of UI elements.
- Document the code and provide instructions on how to run the application.
7. **Deployment**:
- Consider deploying the application on platforms like GitHub Pages or Heroku for broader accessibility.

This project not only enhances your programming skills but also deepens your understanding of quantum mechanics through practical application.