AI Analysis
The package shows minimal risks in terms of network usage, shell execution, and obfuscation. However, it is flagged as suspicious due to its recent release and lack of detailed maintainer information.
- Metadata risk due to new package and lack of maintainer details
- No clear signs of malicious activity detected
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires network functionality.
- Shell: No shell execution detected, which is normal and indicates no immediate signs of malicious shell command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package is suspicious due to its newness and lack of maintainer details, but there are no clear signs of malicious intent.
Package Quality Overall: Low (3.6/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (10788 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
48 type-annotated function signatures detected in source
Limited contributor diversity
1 unique contributor(s) across 100 commits in AlphaAvatar/AlphaAvatarSingle author but highly active (100 commits)
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
Repository AlphaAvatar/AlphaAvatar appears legitimate
3 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor 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
Your task is to create a real-time status monitoring application using the 'alpha-avatar-plugins-status' package. This application will allow users to monitor various status events of their virtual avatars in real time. The app should include features such as displaying current status, logging historical status changes, and providing notifications for specific status transitions. Additionally, users should be able to set up custom alerts based on certain conditions. Steps to follow: 1. Set up a Python environment with the necessary dependencies including 'alpha-avatar-plugins-status'. 2. Design the user interface to display avatar status updates, including icons or images representing different statuses. 3. Implement functionality to connect to the AlphaAvatar framework and fetch real-time status updates. 4. Develop a feature to log status changes into a database for historical tracking. 5. Add alerting capabilities allowing users to define specific status conditions that trigger notifications. 6. Ensure the application can handle multiple avatars and provide options for switching between them. 7. Test the application thoroughly to ensure all features work as expected and are responsive. 8. Document your code and write usage instructions for end-users. Suggested Features: - Real-time status updates - Historical status logs - Customizable alert settings - Multi-avatar support - User-friendly interface How 'alpha-avatar-plugins-status' is utilized: This package will be the backbone of the application, handling the communication with the AlphaAvatar framework and processing status events. It provides methods to subscribe to status events, receive notifications about changes, and manage the lifecycle of status plugins. Use its APIs to integrate these functionalities into your application.
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