🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has minimal direct risks but raises concerns due to sparse maintainer details and lack of an associated GitHub repository.

Sparse maintainer details
No associated GitHub repository

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 detected, reducing the risk of command injection or system compromise.
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 but lacks clear indicators of malicious intent. The maintainer's details are sparse, and there's no associated GitHub repo.

🔬 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: ils.uni-stuttgart.de>

✓ 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 XGEE

Create a mini-application called 'GraphEdit' using the Python package 'XGEE', which is designed for creating graphical editors for single-page web applications. Your goal is to develop a simple yet powerful tool for users to create and manipulate graphs directly within their browser. This application will allow users to draw nodes and edges, customize them with various attributes, and save their graph designs as JSON files for future use.

Step-by-Step Guide:
1. Set up your development environment with Python and the necessary dependencies for XGEE.
2. Initialize a new XGEE project that includes a basic HTML template and a server-side script to handle user interactions.
3. Integrate XGEE's core functionalities to enable real-time drawing of nodes and edges on the canvas.
4. Implement additional features such as drag-and-drop functionality for nodes, customizable node and edge styles, and undo/redo operations.
5. Add a feature that allows users to load existing graph designs from JSON files and save their current work.
6. Test the application thoroughly to ensure all features are working as expected and the user interface is intuitive.
7. Deploy the application to a web server or a cloud platform so it can be accessed via the internet.

Suggested Features:
- Drag-and-Drop Node Placement: Users should be able to move nodes around the canvas easily.
- Customizable Styles: Provide options to change the color, shape, and size of nodes and edges.
- Undo/Redo Operations: Allow users to undo and redo changes made to their graph.
- JSON Import/Export: Enable users to import existing graph designs and export their current work.
- Responsive Design: Ensure the application works well on different screen sizes and devices.

How to Utilize XGEE:
XGEE provides the foundational tools and frameworks needed to build graphical interfaces. Use its API to implement the graphical editor capabilities, such as handling mouse events for drawing, managing the state of the graph, and rendering the visual elements on the web page. Additionally, leverage XGEE's extensibility to add custom behaviors and UI components tailored to your specific needs.