🤖 AI Analysis

Final verdict: SAFE

The package appears to be legitimate with low risk indicators. While there are minor concerns regarding the metadata, such as an incomplete author profile and potentially new or inactive account, these do not strongly suggest malicious intent.

Low network, shell, obfuscation, and credential risks.
Minor metadata issues but no clear signs of malicious activity.

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires external services.
Shell: No shell execution detected, indicating no direct command-line interface manipulation.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
Credentials: No credential harvesting patterns detected, suggesting safe handling of secrets and credentials.
Metadata: The package shows some red flags such as an author with a missing name and a new or inactive account, but there's no clear evidence of typosquatting or other 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: phoenixd.uni-hannover.de>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks

⚠ 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 AMELI

Develop a mini-application named 'Lantern' that serves as a tool for physicists and researchers working with lanthanide ions. Lantern should leverage the 'AMELI' Python package to calculate angular matrix elements, providing users with a user-friendly interface and insightful visualizations. Here’s a step-by-step guide on how to build this application:

1. **Setup**: Start by setting up your Python environment with all necessary packages, including AMELI. Ensure AMELI is installed and properly imported in your project.
2. **User Interface**: Create a simple yet intuitive GUI using a library like PyQt or Tkinter. This interface should allow users to input parameters such as the type of lanthanide ion, specific quantum numbers, and any other relevant details required for calculating angular matrix elements.
3. **Core Functionality**: Utilize AMELI’s capabilities to process these inputs and calculate the angular matrix elements. Implement error handling to manage incorrect inputs gracefully.
4. **Visualization**: Integrate matplotlib or another plotting library to visualize the results. Users should be able to see graphical representations of the calculated matrix elements, which can help in better understanding the data.
5. **Documentation and Help**: Include comprehensive documentation within the app, explaining each feature and how AMELI is used. Also, provide tooltips and help sections to assist users.
6. **Save and Export**: Allow users to save their calculations and export them in formats like CSV or PDF for further analysis or reporting.
7. **Testing**: Thoroughly test the application to ensure accuracy in calculations and reliability of the UI.

Suggested Features:
- Interactive sliders for adjusting quantum numbers and other parameters.
- A history log where users can review past calculations.
- Integration with external databases for additional information about lanthanide ions.
- Advanced options for more experienced users, such as customizing the calculation methods or parameters.

This project not only showcases the power of AMELI but also provides a valuable tool for researchers in the field of physics.