🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has no apparent direct risks such as network calls or shell executions, but the metadata quality is poor, lacking necessary details and showing signs of low effort, which raises suspicion.

Metadata risk due to lack of essential information
Low-effort signs in package

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 risk of malicious code execution.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No secret harvesting patterns detected, indicating low risk.
Metadata: The package shows several low-effort signs and lacks essential information, raising concerns about its legitimacy.

🔬 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 8.0

4 maintainer concern(s) found

Only one version has ever been released — brand new package
Author name is missing or very short
Author "" 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 Griding

Create a Python-based mini-application named 'PathFinder' which utilizes the 'Griding' package to solve a maze navigation problem. The application should take a maze as input (represented as a grid where 0s are passable paths and 1s are walls), and output the shortest path from the start point to the end point using the A* algorithm or any other efficient search algorithm. Here are the detailed steps and features of the application:

1. **Maze Input**: Users should be able to either manually enter a maze grid through command line arguments or load a maze from a file. The maze will consist of integers, where 0 represents a free space and 1 represents a wall.
2. **Path Calculation**: Utilize the 'Griding' package to represent the maze as a grid object and calculate the shortest path using an appropriate algorithm. The package might provide functionalities to manipulate grids, like marking visited cells or checking adjacent cells, which are crucial for implementing the search algorithm.
3. **Visualization**: Implement a simple visualization feature that displays the maze and highlights the calculated path. This could be done using ASCII characters or by utilizing a simple graphics library like `pygame` to create a more interactive experience.
4. **Performance Analysis**: Include a feature to measure the time taken to find the path and the number of nodes explored during the search process. This helps in understanding the efficiency of the chosen algorithm.
5. **User Interface**: Develop a basic command-line interface (CLI) for interacting with the application, including options to load mazes, visualize paths, and view performance metrics.
6. **Error Handling**: Ensure robust error handling, such as validating the maze format, ensuring the start and end points are valid, and providing meaningful error messages when issues arise.

The 'Griding' package is expected to offer fundamental operations on grids that are essential for solving this problem, such as cell manipulation and neighbor calculation. Your task is to explore the capabilities of the 'Griding' package and integrate them effectively into your PathFinder application.