AI Analysis
The package has minimal direct risks but shows some concerning metadata issues, including an anonymous author and low engagement in the repository.
- Anonymous author
- Low repository engagement
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 patterns detected, indicating no immediate risk of executing system commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows some red flags, such as an anonymous author and low repository engagement, but no clear signs of typosquatting or malicious intent.
Package Quality Overall: Low (4.6/10)
Test suite present β 1 test file(s) found
Test runner config found: pyproject.toml1 test file(s) detected (e.g. test_steamworks.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
32 type-annotated function signatures detected in source
Limited contributor diversity
2 unique contributor(s) across 18 commits in scr44gr/arepy-steamworksTwo distinct contributors found
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: protonmail.com>
All external links appear legitimate
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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 mini-game matchmaking and stats tracking app using the 'arepy-steamworks' Python package. This app will integrate seamlessly with the Steam platform, allowing users to find games, track their progress, and interact with other players through the Steam API. Hereβs a step-by-step guide on how to develop this application: 1. **Project Setup**: Begin by setting up your development environment with Python and the 'arepy-steamworks' package installed. Ensure you have access to a Steam API key for authentication. 2. **User Authentication**: Implement user authentication using the Steamworks API. Users should be able to log in using their Steam credentials. 3. **Matchmaking System**: Develop a simple matchmaking system that allows users to join games based on their skill level. The system should consider factors such as player availability, game type preferences, and previous match outcomes. 4. **Stats Tracking**: Integrate stats tracking where users can view their win/loss ratios, top scores, and other relevant metrics. These stats should be stored securely and updated in real-time during gameplay. 5. **Leaderboard Integration**: Create a leaderboard feature that ranks players based on their performance across different games. Users should be able to see where they stand compared to others globally and within their friend groups. 6. **Social Features**: Include social features like friend requests, messaging, and group creation. Users should be able to interact with friends directly from the app. 7. **Notifications**: Set up push notifications for new matches, friend requests, and other important events. Notifications should be customizable and sent via the Steamworks notification system. 8. **Analytics Dashboard**: For administrators, provide an analytics dashboard that tracks usage statistics, player behavior, and other valuable data points. This dashboard should help in making informed decisions about future updates and improvements. Throughout the development process, utilize the 'arepy-steamworks' package to handle Steam API calls efficiently. Make sure to document each function and module clearly to ensure maintainability and scalability of the application.
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