AI Analysis
Final verdict: SAFE
The package shows minimal risk indicators with no network calls, shell executions, obfuscations, or credential harvesting attempts detected. The metadata risk is slightly elevated due to the maintainer having only one package, but this alone does not suggest a supply-chain attack.
- No network calls
- Single package by maintainer
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution patterns detected, indicating no immediate signs of malicious activity.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
- Credentials: No credential harvesting patterns detected, indicating low risk of secret theft.
- Metadata: The maintainer has only one package, which may indicate a new or less active account, but no other red flags are present.
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: gavinb.site
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository gbannerman/mopidy-pibox appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Gavin Bannerman" 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 Mopidy-Pibox
Create a fully-functional mini-app that serves as a modern digital jukebox using the 'Mopidy-Pibox' package in Python. This app will allow users to browse, select, and play music tracks from a local library or streaming services. Here’s a step-by-step guide on how to build it: 1. **Setup Environment**: Start by setting up your development environment. Install Python and ensure you have pip installed. Then, install Mopidy and Mopidy-Pibox via pip. 2. **Application Structure**: Design the basic structure of your application. It should include a main module to handle user interactions and a backend module to interface with Mopidy-Pibox. 3. **User Interface**: Develop a simple but intuitive user interface where users can search for songs, albums, artists, and playlists. Consider integrating a web framework like Flask or Django to create a web-based interface. 4. **Integration with Mopidy-Pibox**: Use Mopidy-Pibox to manage the jukebox functionality. This includes adding songs to a queue, playing/pausing, skipping tracks, and managing playlists. 5. **Advanced Features**: Implement advanced features such as allowing users to vote on songs, setting up a playlist recommendation system based on user preferences, and providing analytics on song popularity. 6. **Testing & Deployment**: Thoroughly test your application to ensure all functionalities work as expected. Once tested, deploy your application to a server or a cloud platform. 7. **Documentation**: Write comprehensive documentation for both users and developers, explaining how to use the application and how to contribute to its source code. Throughout the process, focus on making your application user-friendly and efficient, ensuring it leverages the full potential of Mopidy-Pibox.