🤖 AI Analysis

Final verdict: SAFE

The package shows low risk across all assessed categories, with no indications of malicious activity or supply-chain attacks.

No network calls
Low shell execution risk
No obfuscation
No credential harvesting

Per-check LLM notes

Network: No network calls detected, which is normal and not indicative of malicious activity.
Shell: Shell execution appears to be for testing purposes, likely running pytest to ensure the package works correctly.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows low effort in metadata quality and the authors may be new or inactive, but there are no clear signs of malicious intent.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

≥ 142 tests.""" result = subprocess.run( [sys.executable, "-m", "pytest", "tests/", "--colle

✓ 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

Repository domattioli/ADMESH-Domains appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author "Colton J. Conroy, Ethan J. Kubatko, Dustin W. West" 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 admesh2D

Create a mini-application called 'MeshMaster' that leverages the 'admesh2D' package to generate high-quality meshes for 2D shallow-water models. This application will serve as a user-friendly interface for researchers and engineers who need to quickly create and visualize mesh grids for their simulations. Here’s a detailed breakdown of what your application should include:

1. **User Interface**: Design a simple yet intuitive GUI using Tkinter that allows users to input parameters such as domain size, number of elements, and boundary conditions.

2. **Mesh Generation**: Utilize 'admesh2D' to automatically generate unstructured triangular meshes based on user inputs. Ensure the application can handle complex geometries and irregular boundaries.

3. **Visualization**: Implement a feature that visualizes the generated mesh in real-time within the application. Users should be able to zoom in/out and pan across the mesh.

4. **Export Functionality**: Provide options for users to export the generated mesh data into common file formats like .vtk or .txt for further analysis in external software.

5. **Customization Options**: Allow users to customize the mesh density and refine areas of interest within the domain.

6. **Help Documentation**: Include comprehensive documentation within the application that explains how to use each feature effectively and provides examples of typical use cases.

The goal is to create a versatile tool that simplifies the process of generating and managing meshes for 2D shallow-water models, making it accessible even to those without extensive programming knowledge.