AI Analysis
The package has minimal risks associated with network, shell, obfuscation, and credential handling. The only concern lies in the metadata where the author lacks a full name and has a new/inactive account, which slightly increases suspicion.
- Metadata risk due to incomplete author information and new/inactive account.
- No significant security risks identified.
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external communication.
- Shell: No shell execution patterns detected, indicating no immediate signs 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 author with a missing name and a new/inactive account, but there's no clear evidence of typosquatting or other malicious intent.
Package Quality Overall: Low (3.0/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (2768 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
36 type-annotated function signatures detected in source
Single-author or unverifiable project
1 unique contributor(s) across 13 commits in wenLiangcan/asgi-ccSingle author with few commits β possibly a personal or throwaway project
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
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 simple yet powerful real-time notification system using Python and the 'asgi-cc' package. This system will allow users to subscribe to specific channels and receive notifications whenever new messages are posted to those channels. The application should support multiple channels, user subscriptions to these channels, and the ability to post messages to any subscribed channel. Utilize 'asgi-cc' to connect your ASGI application to Cranker v3, enabling efficient message broadcasting across all connected clients. Hereβs a detailed breakdown of the project steps and features: 1. **Setup Project Environment**: Begin by setting up a virtual environment for your project and installing necessary packages including 'asgi-cc', 'starlette' for handling HTTP requests, and 'uvicorn' as the ASGI server. 2. **Define Channels and Subscription Mechanism**: Implement a mechanism where users can create and join different channels. Each channel should have its own subscription list to track which users are currently listening. 3. **Integrate asgi-cc**: Use 'asgi-cc' to integrate your application with Cranker v3. This integration will facilitate real-time communication between the server and client, ensuring that messages are delivered instantly to all subscribed users. 4. **Message Posting Interface**: Develop an interface where users can post messages to specific channels. Ensure that these messages are broadcasted to all users subscribed to the respective channel. 5. **Client-Side Implementation**: Create a simple web interface using HTML/CSS/JavaScript that allows users to subscribe to channels and receive real-time updates. 6. **Testing and Deployment**: Thoroughly test your application to ensure it functions correctly under various conditions. Consider deploying your application using a cloud service provider to make it accessible online.
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