AI Analysis
The package appears safe based on the analysis. It has minimal risks associated with network, shell execution, obfuscation, and credential handling.
- No network calls
- No shell executions
- No obfuscation or credential harvesting patterns
Per-check LLM notes
- Network: No network calls suggest normal behavior for an audio processing tool.
- Shell: No shell executions indicate the package does not attempt to execute commands on the host system.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package is new and lacks detailed author information, which raises some concerns.
Package Quality Overall: Low (4.6/10)
Partial test coverage signals detected
Test runner config found: pyproject.toml
Some documentation present
Detailed PyPI description (10101 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
431 type-annotated function signatures detected in source
Limited contributor diversity
1 unique contributor(s) across 84 commits in diontimmer/AudioCLISingle author but highly active (84 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
Email domain looks legitimate: live.nl>
All external links appear legitimate
Repository diontimmer/AudioCLI appears legitimate
3 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor name is missing or very shortAuthor "" 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 mini-application named 'AudioBatchProcessor' using the Python package 'audiocli-tools'. This application will serve as a powerful batch audio processor, allowing users to apply various effects and transformations to multiple audio files simultaneously. The goal is to streamline the workflow for audio engineers, producers, and enthusiasts who need to process large batches of audio files efficiently. The application should have the following core functionalities: 1. **Batch Processing**: Users should be able to select multiple audio files at once and apply the same effect or set of effects to all selected files. 2. **Effect Library**: Include a library of common audio effects such as reverb, delay, distortion, and equalization. Users should be able to choose from this library or specify custom effects using the command line. 3. **Output Management**: Provide options for users to specify output directories and file formats for processed audio files. 4. **Progress Tracking**: Implement a feature that tracks the progress of the batch processing task and provides real-time updates on the status of each file being processed. 5. **Custom Effect Chains**: Allow users to create custom chains of effects that can be applied sequentially to each audio file. 6. **Logging**: Maintain logs of all operations performed by the application, including details of input/output files, applied effects, and timestamps. To utilize the 'audiocli-tools' package, you will need to integrate its core functionalities into your application. Specifically, use 'audiocli-tools' to handle the low-level audio processing tasks, such as applying effects and managing audio files. Your application should provide a user-friendly interface for specifying these tasks and then delegate the actual processing to 'audiocli-tools'. Your final deliverable should include: - A well-documented Python script for 'AudioBatchProcessor' - A set of example commands demonstrating how to use the application - A README file explaining how to install dependencies and run the application
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