AI Analysis
Final verdict: SUSPICIOUS
The package shows no direct malicious activities, but its metadata raises some concerns due to the unavailability of the repository and the maintainer's limited history with other packages.
- Repository not found
- Maintainer has only one package
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external communications.
- 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 repository is not found and the maintainer has only one package, which could indicate a less established or potentially suspicious account.
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
score 3.0
Repository not found (deleted or private)
Repository not found (deleted or private)
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "The AgentForge Authors" 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 agentforge-chat-history-postgres
Create a chat history management tool using the Python package 'agentforge-chat-history-postgres'. This tool will enable users to store, retrieve, and manage chat conversations efficiently in a PostgreSQL database. The application should include the following core functionalities: 1. **User Authentication**: Implement a simple user authentication system where users can sign up, log in, and log out. 2. **Chat Session Management**: Allow users to create new chat sessions, join existing ones, and end sessions. 3. **Message Storage**: Integrate 'agentforge-chat-history-postgres' to store each message sent in a chat session in the PostgreSQL database. 4. **Message Retrieval**: Enable users to view past messages from any chat session they have participated in. 5. **Search Functionality**: Provide a search feature that allows users to find specific messages based on keywords or timestamps. 6. **Session Deletion**: Offer an option for users to delete their chat sessions and associated messages. 7. **Data Visualization**: Incorporate basic data visualization tools to display chat activity statistics such as most active times, number of messages per day, etc. The project should be built using modern web development practices, including RESTful APIs for backend operations and a React frontend for the user interface. Ensure that the application is secure and user-friendly, providing clear instructions and feedback at every step.