AI Analysis
The package shows no signs of malicious activity such as network calls, shell executions, or credential harvesting. The only notable point is the maintainer's limited package history, which slightly increases the metadata risk.
- Low risk across all major categories
- Maintainer has only one package, slightly increasing metadata risk
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
- 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 maintainer has only one package, which might indicate a new or less active account, but no other red flags are present.
Package Quality Overall: Medium (5.4/10)
Test suite present — 4 test file(s) found
Test runner config found: pyproject.toml4 test file(s) detected (e.g. test_context.py)
Some documentation present
Documentation URL: "Documentation" -> https://github.com/jenreh/appkit/tree/main/docsBrief PyPI description (404 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Active multi-contributor project
3 unique contributor(s) across 100 commits in jenreh/appkitSmall but multi-author team (3–4 contributors)
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
Repository jenreh/appkit appears legitimate
1 maintainer concern(s) found
Author "Jens Rehpöhler" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Your task is to create a simple yet functional application named 'MCPChat', which will serve as a basic chat server using the Python package 'appkit-mcp-commons'. This application will allow users to connect to a central server and communicate in real-time. Here’s a step-by-step guide on how to proceed: 1. **Setup**: Begin by setting up your development environment. Ensure you have Python installed along with the 'appkit-mcp-commons' package. Use pip to install the package if it's not already available. 2. **Application Structure**: Design a clean and modular structure for your application. Consider having separate modules for the server, client, and shared utilities. 3. **Utilizing 'appkit-mcp-commons'**: Leverage the shared base classes and utilities provided by 'appkit-mcp-commons' to handle common server operations such as connection management, message handling, and logging. 4. **Server Implementation**: Implement the server side of your application. This should include functionalities like accepting connections from clients, broadcasting messages to all connected clients, and managing user sessions. 5. **Client Interface**: Develop a simple client interface that allows users to connect to the server, send messages, and receive messages from other connected users. 6. **Security Features**: Integrate basic security measures such as authentication and authorization to ensure only registered users can communicate. 7. **Testing & Deployment**: Thoroughly test your application to ensure stability and functionality. Once satisfied, deploy your application to a cloud service or a local server. 8. **Documentation**: Write comprehensive documentation explaining how to set up and use the application, including details about the 'appkit-mcp-commons' integration. Suggested Features: - User registration and login system - Real-time messaging with timestamps - Ability to send private messages - User presence indicators - Logging of all activities for monitoring purposes Remember to utilize the 'appkit-mcp-commons' package effectively to streamline your development process and enhance the robustness of your application.