AI Analysis
Final verdict: SUSPICIOUS
The package has low risks in terms of network, shell execution, and obfuscation. However, it shows signs of poor maintenance and metadata quality, which raises concerns about its trustworthiness.
- Low maintainer activity
- Poor metadata quality
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require internet access.
- Shell: No shell executions detected, indicating the package does not attempt to execute system commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows low maintainer activity and poor metadata quality, raising suspicion but not definitive proof of malice.
Package Quality Overall: Low (3.0/10)
○ Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
◈ Medium
Documentation
5.0
Some documentation present
Detailed PyPI description (963 chars)
○ Low
Contributing Guide
2.0
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low
Type Annotations
1.0
No type annotations detected
No type annotations, py.typed marker, or stub files detected
◈ Medium
Multiple Contributors
6.0
Limited contributor diversity
2 unique contributor(s) across 79 commits in mortenlj/audio-connectedTwo distinct contributors found
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: ifi.uio.no>
Suspicious Page Links
All external links appear legitimate
Git Repository History
score 2.5
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
Maintainer History
score 6.0
3 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with audio-connected
Create a user-friendly command-line utility named 'AudioSwitcher' using the Python package 'audio-connected'. This tool will monitor PulseAudio events to detect when new audio output devices (sinks) are connected to a system. Upon detection of a new device, it will compare its name against a predefined list of names. If there's a match, the tool will automatically set this new device as the default output sink for the system. Here’s a detailed plan on how to implement this utility: 1. **Setup Environment**: Ensure your development environment includes Python and the 'audio-connected' package installed. 2. **Configuration File**: Create a configuration file where users can specify the names of audio devices they want to monitor. Users should be able to add, remove, or modify these names easily. 3. **Event Listener**: Use 'audio-connected' to listen for PulseAudio events related to new sink connections. 4. **Device Matching**: When a new sink is detected, retrieve its name and compare it against the names listed in the configuration file. 5. **Default Sink Setting**: If a matching name is found, use PulseAudio commands to set the newly detected sink as the default output device. 6. **User Interface**: Develop a simple command-line interface that allows users to start/stop monitoring, view current settings, and manage their device configurations. 7. **Logging**: Implement logging functionality to record all actions performed by the utility, including successful sink changes and any errors encountered. 8. **Error Handling**: Ensure robust error handling to manage cases where no devices match, the configuration file is missing, or there are issues setting the default sink. 9. **Testing**: Thoroughly test the application under various scenarios, such as connecting multiple devices, changing configurations while monitoring is active, and ensuring proper cleanup when the application exits. This project not only leverages the 'audio-connected' package effectively but also enhances user experience by providing a convenient way to manage default audio outputs based on real-time device connection events.
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