AI Analysis
The package shows no immediate signs of malicious activity, but the incomplete author information and apparent inactivity raise concerns about potential supply-chain risks.
- Incomplete author information
- Account appears new or inactive
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external communications.
- Shell: No shell execution detected, indicating the package likely does not perform system-level operations.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The author's information is incomplete and the account seems new or inactive, raising some suspicion but not conclusive evidence of malice.
Package Quality Overall: Medium (6.2/10)
Test suite present — 15 test file(s) found
Test runner config found: pyproject.tomlTest runner config found: conftest.py15 test file(s) detected (e.g. conftest.py)
Some documentation present
Detailed PyPI description (5245 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
Classifier: Typing :: Typed289 type-annotated function signatures detected in source
Limited contributor diversity
2 unique contributor(s) across 100 commits in ArcletProject/LetodereaTwo 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
Suspicious email domain flags: Very short email domain: qq.com>
Very short email domain: qq.com>
All external links appear legitimate
Repository ArcletProject/Letoderea appears legitimate
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 real-time chat application using Python that leverages the 'arclet-letoderea' package for its event-driven architecture and asyncio support. This application will allow multiple users to connect to a central server and send messages to each other in real time. The application should include the following features: 1. User authentication: Implement a simple login system where users can register and log in to the chat. 2. Real-time messaging: Users should be able to send messages instantly to other connected users. 3. User presence: Display online/offline status of users. 4. Group chat functionality: Allow users to join different groups and chat within those groups. 5. Persistent storage: Messages should be stored in a database so that they persist even if the server restarts. 6. Admin panel: Provide an admin interface to manage users and monitor the chat. To achieve these features, you will use 'arclet-letoderea' as the backbone for handling asynchronous events. This includes setting up listeners for user connections, disconnections, and message sending/receiving. The package's event system will help streamline the process of managing concurrent user interactions and ensure that the application remains responsive and efficient.
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