AI Analysis
Final verdict: SAFE
The package shows minimal risks with no network or shell activities detected. However, the low maintainer activity and poor metadata quality slightly elevate its risk score.
- No network calls detected
- No shell execution patterns
- Low maintainer activity and poor metadata quality
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require internet connectivity.
- Shell: No shell execution patterns detected, indicating no direct system command execution by the package.
- Metadata: The package shows low maintainer activity and poor metadata quality, raising some suspicion but not definitive signs of malice.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
No shell execution patterns detected
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
No author email provided
Suspicious Page Links
All external links appear legitimate
Git Repository History
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 6.0
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)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with a2ui-agent-sdk
Create a fully functional mini-app that leverages the capabilities of the 'a2ui-agent-sdk' package to manage user interactions and data within a simple inventory management system. This application will allow users to add, remove, and update items in their inventory, as well as view the current state of their inventory. The app should include the following core features: 1. **User Authentication**: Implement a basic user authentication system where users can sign up, log in, and log out. 2. **Inventory Management**: Allow users to add new items to their inventory, delete existing items, and update item details such as name, quantity, and price. 3. **Real-time Updates**: Utilize the 'a2ui-agent-sdk' to enable real-time updates to the inventory when changes are made. This includes displaying these updates instantly to all connected clients without needing to refresh the page. 4. **Data Persistence**: Ensure that the inventory data is saved even after the application is closed or refreshed. Use appropriate backend services to handle data persistence. 5. **User Interface**: Design a clean and intuitive UI using HTML/CSS, possibly enhanced with frameworks like Bootstrap or Tailwind CSS, to make the application user-friendly. 6. **Error Handling**: Implement robust error handling to provide meaningful feedback to users in case of any issues, such as incorrect login credentials or failed operations on the inventory. **How to Utilize 'a2ui-agent-sdk':** - Integrate 'a2ui-agent-sdk' to facilitate real-time communication between the server and client, ensuring that any changes made by one user are immediately reflected in other users' views of the inventory. - Use the SDK's functionalities to manage websockets for real-time updates, ensuring seamless interaction without the need for constant page refreshes. - Leverage the SDK’s event handling mechanisms to trigger actions based on user input or backend events, enhancing the interactivity and responsiveness of the application.