AI Analysis
The package has minimal risks in terms of network usage, shell execution, and obfuscation. However, the low maintenance and poor metadata quality raise concerns about its trustworthiness.
- Low metadata quality
- Minimal maintenance
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require internet access.
- Shell: No shell execution detected, indicating the package likely does not execute system commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity related to code obfuscation.
- Credentials: No credential harvesting patterns detected, suggesting no immediate risk of secret or credential theft.
- Metadata: The package shows low maintenance and poor metadata quality, raising some suspicion but not conclusive evidence of malice.
Package Quality Overall: Low (3.6/10)
Test suite present β 1 test file(s) found
Test runner config found: pyproject.toml1 test file(s) detected (e.g. test_package_imports.py)
No documentation detected
No documentation URL, doc files, or meaningful description found
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
248 type-annotated function signatures detected in source
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
No author email provided
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
3 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Your task is to develop a Python-based mini-game application that integrates the 'atomheart' package to create a fun and interactive board game experience. This application will serve as a playground for experimenting with different board game mechanics and AI-driven strategies using the Valanga adapters provided by 'atomheart'. Hereβs a detailed guide on how to approach this project: 1. **Project Setup**: Start by installing the 'atomheart' package. Ensure you have Python and pip installed on your system. Use pip to install 'atomheart'. 2. **Game Environment Creation**: Utilize the 'atomheart' package to define a simple yet engaging board game environment. Consider a classic game like Chess, Tic-Tac-Toe, or a custom board game of your choice. Focus on defining the game rules, state transitions, and player interactions. 3. **Valanga Adapters Integration**: Integrate Valanga adapters into your game environment. These adapters allow you to experiment with various AI strategies, such as reinforcement learning algorithms, to play against or alongside human players. Implement at least two different AI strategies and compare their performance. 4. **User Interface**: Develop a user-friendly interface for your game. This could be a simple console-based interface or a more sophisticated GUI using a library like Tkinter or PyQt. Ensure that the UI clearly displays the game state and allows users to interact with the game. 5. **Multiplayer Support**: Extend your application to support multiplayer mode where players can compete against each other or against AI opponents. Implement a turn-based system that ensures smooth gameplay. 6. **Scoring and Analytics**: Implement a scoring system to keep track of player performance over multiple games. Optionally, include analytics to provide insights into game outcomes and player strategies. 7. **Testing and Optimization**: Thoroughly test your application to ensure all functionalities work as expected. Optimize the game environment and AI strategies based on testing results to enhance the gaming experience. 8. **Documentation and Deployment**: Document your code and the process you followed during development. Consider deploying your application on a platform like GitHub so others can use and contribute to it. By following these steps, youβll not only create a fun and interactive board game but also gain valuable experience with the 'atomheart' package and AI integration in game development.
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