AI Analysis
The package shows low risks for obfuscation and credential harvesting but has suspicious metadata, including non-HTTPS links and a new maintainer account, which raises concerns about potential supply-chain attacks.
- Suspicious non-HTTPS links
- New maintainer account
Per-check LLM notes
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
- Credentials: No credential harvesting patterns detected, indicating low risk of secret theft.
- Metadata: Suspicious non-HTTPS links and new maintainer account increase the risk slightly.
Package Quality Overall: Medium (5.0/10)
Partial test coverage signals detected
Test runner config found: pyproject.toml
Some documentation present
Detailed PyPI description (13642 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
Classifier: Typing :: Typed363 type-annotated function signatures detected in source
Limited contributor diversity
1 unique contributor(s) across 100 commits in aiinbx/aiinbx-pySingle author but highly active (100 commits)
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
Found 2 suspicious link(s) on the package page
Non-HTTPS external link: http://my.test.server.example.com:8083Non-HTTPS external link: http://my.test.proxy.example.com
Repository aiinbx/aiinbx-py appears legitimate
1 maintainer concern(s) found
Author "AI Inbx" 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 Python-based desktop application that leverages the 'aiinbx' package to interact with the AIInbx API. This application will serve as a personal assistant tool, allowing users to perform various tasks through voice commands. The app should be user-friendly, with a clean graphical interface built using Tkinter. Here are the key features and steps to develop this application: 1. **Voice Command Recognition**: Integrate the 'aiinbx' package to enable the recognition of voice commands. Users should be able to issue commands like 'Open calendar', 'Set reminder', 'Play music', etc., which the application will interpret and execute. 2. **Task Execution**: Based on the recognized voice command, the application should execute specific actions. For example, if the user says 'Open calendar', the application should open the default calendar application. If the user requests 'Set reminder', the application should use the 'aiinbx' package to add a new event to the user's digital calendar. 3. **Integration with External Services**: Utilize the 'aiinbx' package to connect with external services such as Google Calendar, Spotify, or any other relevant APIs to perform tasks like setting reminders, playing music, checking weather forecasts, etc. 4. **User Interface**: Develop a simple yet elegant GUI using Tkinter where users can see the status of their commands and any feedback from the application. The interface should display a message indicating whether a command was successfully executed or if there was an error. 5. **Customization Options**: Allow users to customize certain aspects of the application, such as choosing preferred music streaming services, setting up default reminders, or specifying preferred voice commands. 6. **Testing and Documentation**: Ensure thorough testing of all features and provide comprehensive documentation explaining how to install the application, set up voice commands, and troubleshoot common issues. The 'aiinbx' package is essential for enabling voice command recognition and integrating with external services. It simplifies the process of connecting to the AIInbx API, allowing developers to focus on building the core functionality of the application.
💬 Discussion Feed
No discussion yet. Be the first to share your thoughts!
Report Abuse / Security Issue