🤖 AI Analysis

Final verdict: SAFE

The package appears to be legitimate with minimal risk factors identified. However, the lack of a GitHub repository and the maintainer's single package presence slightly elevate the metadata risk.

No network calls
No shell execution patterns
No obfuscation or credential risks
Low experience level indicated by single package and no GitHub repo

Per-check LLM notes

Network: No network calls detected, which is normal unless the package's functionality requires external communication.
Shell: No shell execution patterns detected, indicating no immediate risk of unauthorized system command execution.
Obfuscation: No obfuscation patterns detected, suggesting low risk of malicious activity.
Credentials: No credential harvesting patterns detected, indicating safe handling of secrets and credentials.
Metadata: The maintainer has only one package and no associated GitHub repository, which could indicate a less experienced or potentially suspicious user.

🔬 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

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "HandryMker" 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 MyProp

Create a mini-application named 'PropDesigner' using the Python package 'MyProp', which is designed for generating modular NACA blade propellers through an interactive command-line interface. The application should allow users to design custom propellers by specifying various parameters such as blade number, pitch angle, and chord length. Users should also have the option to visualize their designs in real-time and export them in a common CAD file format like STL for further analysis or manufacturing.

Step-by-Step Instructions:
1. Initialize a new Python project and install the 'MyProp' package via pip.
2. Develop a CLI parser using Python's argparse module to handle user inputs for propeller design parameters.
3. Implement functions to generate propeller geometry based on user-defined parameters using the 'MyProp' package.
4. Integrate a visualization component, possibly using matplotlib or similar libraries, to display the generated propeller geometry directly within the terminal or a GUI window.
5. Add functionality to save the generated propeller design into an STL file format for future use or sharing.
6. Ensure the application provides clear instructions and feedback to the user throughout the process.
7. Test the application thoroughly with different sets of input parameters to ensure robustness and accuracy.

Suggested Features:
- Support for multiple NACA airfoil profiles.
- Interactive mode allowing users to adjust parameters and see changes in real-time.
- Export options supporting other popular CAD formats besides STL.
- A help menu detailing all available commands and parameters.
- Error handling for invalid input values.

How 'MyProp' is Utilized:
- Use 'MyProp' to define and manipulate the properties of each blade segment in the propeller design.
- Leverage its CLI capabilities to streamline the user interaction process.
- Employ its geometric generation methods to create accurate propeller models based on user specifications.