AI Analysis
The package exhibits very low risk indicators with no network calls, shell executions, obfuscations, or credential harvesting attempts. The metadata suggests a new maintainer but does not raise additional concerns.
- No network calls
- No shell executions
- No obfuscation
Per-check LLM notes
- Network: No network calls suggest the package is not attempting to communicate externally, which is normal for most utility packages.
- Shell: No shell execution patterns indicate that the package does not execute external commands, reducing potential for malicious activity.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has only one package, which might indicate a new or less active account, but no other red flags are present.
Package Quality Overall: Low (4.4/10)
Test suite present β 10 test file(s) found
10 test file(s) detected (e.g. __init__.py)
Some documentation present
Brief PyPI description (794 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
8 type-annotated function signatures (partial)
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked β contributor count unavailable
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: snowland.ltd
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
1 maintainer concern(s) found
Author "A.Star" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a Python-based pathfinding game using the 'astar-math' package. This game will simulate a grid-based environment where players need to navigate from a starting point to a goal while avoiding obstacles. The game should include a graphical user interface (GUI) for better visualization and interaction. Hereβs a detailed breakdown of the project requirements: 1. **Game Environment Setup**: Initialize a grid-based world where each cell can either be passable or blocked. The player character and the goal position should be clearly marked. 2. **Pathfinding Algorithm Integration**: Utilize the A* algorithm from the 'astar-math' package to find the shortest path from the player's starting position to the goal. Ensure the algorithm accounts for obstacles present in the grid. 3. **Dynamic Obstacle Handling**: Introduce dynamic obstacles that can appear and disappear randomly during gameplay. Modify the pathfinding algorithm to recalculate the path when obstacles change. 4. **User Interface**: Develop a simple GUI using a library like Tkinter to display the game grid and visualize the pathfinding process. Include buttons to start and reset the game, and a display showing the number of steps taken to reach the goal. 5. **Scoring System**: Implement a scoring system based on the efficiency of the path found. Consider factors such as the length of the path and the time taken to calculate it. 6. **Customization Options**: Allow users to customize the size of the grid, the density of obstacles, and the speed of obstacle movement. 7. **Documentation**: Provide clear documentation explaining how to run the game, customize its settings, and understand the underlying pathfinding logic. This project not only tests your ability to integrate external packages but also challenges you to create an interactive and visually appealing application.
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