AI Analysis
Final verdict: SUSPICIOUS
The package shows minimal risks in terms of network activity, shell execution, obfuscation, and credential handling. However, the metadata risk score of 4 out of 10, due to the maintainer having only one package and low community engagement, raises concerns about potential supply-chain attacks.
- Maintainer has only one package
- Repository lacks community engagement
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
- Shell: No shell executions detected, which is expected and safe.
- Obfuscation: No obfuscation patterns detected, suggesting low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, indicating safe handling of secrets and credentials.
- Metadata: The maintainer has only one package and the repository lacks community engagement, raising some suspicion.
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 2.5
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Sukhbinder Singh" 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 afrecord-win
Create a simple yet powerful command-line audio recorder application called 'SoundSnipper' using the Python package 'afrecord-win'. This application will allow users to easily record their audio directly from the command line on Windows systems. Here are the key steps and features for your project: 1. **Setup**: Begin by installing the necessary Python packages including 'afrecord-win' and any other dependencies you might need such as 'argparse' for command-line argument parsing. 2. **Basic Functionality**: Implement the core functionality of recording audio. Users should be able to start and stop recordings using command-line arguments. For example, `soundsnipper start` to begin recording and `soundsnipper stop` to end it. 3. **File Management**: Automatically save the recorded audio file to a specified directory with a default filename or a user-specified filename. Ensure that the file format is suitable for standard use (e.g., .wav). 4. **Configuration Options**: Allow users to configure settings such as recording duration, file format, and output directory through command-line arguments or a configuration file. 5. **Error Handling**: Implement robust error handling to manage issues like insufficient permissions, invalid paths, or unsupported file formats gracefully. 6. **User Interface**: Since this is a CLI tool, focus on making the command-line interface intuitive and user-friendly. Provide clear usage instructions and help messages. 7. **Testing**: Write tests to ensure that all functionalities work as expected under different conditions, including edge cases. 8. **Documentation**: Finally, document your code and provide a README file explaining how to install, configure, and use SoundSnipper. The 'afrecord-win' package is central to this project, responsible for capturing the audio input. It should be integrated into the application's core logic to handle the actual recording process based on user commands.