🤖 AI Analysis

Final verdict: SAFE

The package is considered safe due to low risks across all categories except for shell execution and metadata issues. Further investigation into shell commands is recommended.

Shell execution commands present but potentially legitimate
Missing author information and new maintainer

Per-check LLM notes

Network: No network calls detected.
Shell: Shell execution commands detected might be for compilation purposes but need further investigation to ensure legitimacy.
Obfuscation: No obfuscation patterns detected, suggesting low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows some red flags with missing author information and a new maintainer, but no clear signs of typosquatting or malicious intent.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 10.0

Found 5 shell execution pattern(s)

dir] try: subprocess.run( command, check=True,
dda-team/adda && cd adda' subprocess.run(download_command, shell=True, check=True) def compile_c_cod
env.get("PATH", "") subprocess.run(compile_command, check=True, env=env) finally: o
PATH." ) subprocess.run( [dlltool, "-d", str(def_file), "-D", "libfftw3-
process.run(download_command, shell=True, check=True) def compile_c_code(): cwd = os.getcwd()

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: int.pl>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ 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 addatmatrix

Develop a mini-application called 'TMatrixExplorer' using Python that leverages the 'addatmatrix' package for T matrix calculations with ADDA. This application will serve as a tool for researchers and students in the field of optics and photonics to easily compute and visualize T matrices, which are essential for understanding light scattering from complex structures.

**Step-by-Step Project Outline:**
1. **Setup Environment**: Ensure your development environment is set up with Python 3.x and install the necessary packages including 'addatmatrix'. Also, include other relevant libraries such as numpy for numerical operations, matplotlib for plotting, and pandas for data handling.
2. **User Interface Design**: Create a simple command-line interface (CLI) for users to interact with the application. The CLI should allow users to input parameters related to their T matrix calculation needs, such as material properties, geometries, and wavelengths.
3. **Core Functionality**: Implement the core functionality of the application using 'addatmatrix'. This includes reading user inputs, performing T matrix calculations, and storing the results.
4. **Visualization Module**: Develop a module within the application that visualizes the computed T matrices. Users should be able to plot the real and imaginary parts of the T matrices over different wavelengths or angles.
5. **Data Exporting**: Add a feature that allows users to export the computed T matrices and visualizations as CSV files or images.
6. **Documentation**: Write comprehensive documentation for the application, explaining how to use each feature and what the output means. Include examples and use cases to help new users understand the application better.
7. **Testing and Validation**: Test the application thoroughly with various datasets to ensure accuracy and reliability. Validate the results against known benchmarks or theoretical expectations.

**Suggested Features:**
- Support for multiple geometrical shapes (e.g., spheres, cylinders, cubes).
- Option to choose between different materials with varying refractive indices.
- Calculation of T matrices at multiple wavelengths or angles.
- Interactive visualization of T matrices with zoom, pan, and save functionalities.
- Detailed error messages and suggestions for troubleshooting common issues.
- Integration with cloud storage services for saving and sharing results.