AI Analysis
Final verdict: SAFE
The package shows minimal risk indicators, with no network, shell execution, obfuscation, or credential risks detected. However, the maintainer's incomplete and possibly inactive profile adds slight uncertainty.
- No network calls detected.
- Maintainer has an incomplete profile.
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package is expected to communicate with external services like Redis.
- Shell: No shell execution patterns detected, reducing the risk of malicious activities such as code injection.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has an incomplete profile and appears to be new or inactive, which raises some concerns but does not strongly indicate malicious intent.
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
Email domain looks legitimate: microsoft.com>
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository microsoft/agent-framework appears legitimate
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with agent-framework-redis
Create a real-time collaborative document editor that leverages the 'agent-framework-redis' package for seamless integration and state management using Redis. This application will allow multiple users to edit the same document simultaneously while ensuring consistency and real-time updates across all clients. Here’s a detailed plan for building this mini-app: 1. **Setup Environment**: Begin by setting up a Python environment with the necessary dependencies including 'agent-framework-redis', 'redis', and any other required packages for web development such as Flask or Django. 2. **Design the Document Model**: Define a data model for the documents that includes metadata like title, author, and content. Use Redis through 'agent-framework-redis' to store and manage these documents efficiently. 3. **User Authentication**: Implement a simple user authentication system to allow users to sign in and access their documents. Store user sessions in Redis for quick access and state management. 4. **Real-Time Collaboration**: Utilize 'agent-framework-redis' to enable real-time collaboration. When a user makes changes to a document, update the document state in Redis immediately. Other connected clients should listen for changes and reflect those changes in real-time. 5. **Web Interface**: Develop a user-friendly web interface where users can create, edit, and view documents. Ensure that the interface supports real-time editing, highlighting changes made by other users, and providing a seamless experience. 6. **Testing and Deployment**: Thoroughly test the application to ensure that it handles multiple simultaneous edits without conflicts and that the document states are consistent across all users. Deploy the application on a platform of your choice, ensuring that Redis is properly configured and accessible. **Suggested Features**: - Real-time notifications when another user is editing a document. - Version control to revert to previous states of the document. - Support for rich text formatting. - User roles and permissions to control who can edit or view documents. - Offline support, where changes are synchronized once the client reconnects to the server.