🤖 AI Analysis

Final verdict: SAFE

The package Whombat v0.9.0 exhibits minimal risk indicators, with no detected network calls, shell executions, or credential harvesting attempts. The metadata risk is slightly elevated but does not suggest any malicious intent.

No network calls detected
No shell execution detected

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires external services.
Shell: No shell execution detected, indicating no direct system command invocation.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows some low-effort signs but lacks clear red flags.

🔬 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: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository mbsantiago/whombat appears legitimate

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Author name is missing or very short
Author "" 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 Whombat

Create a fully functional mini-application using the 'Whombat' package, which is designed as an audio annotation tool. Your application will serve as a simple yet powerful platform for annotating audio files with various labels and tags. Here’s a step-by-step guide on how to develop this application:

1. **Project Setup**: Begin by setting up your Python environment and installing necessary packages including 'Whombat'. Ensure you have a clear structure for your project.
2. **User Interface**: Design a user-friendly interface where users can upload their audio files. This interface should allow for easy navigation and interaction.
3. **Audio File Management**: Implement functionalities to manage uploaded audio files. Users should be able to view, play, delete, and rename their files easily.
4. **Annotation Features**: Use 'Whombat' to enable detailed annotations of audio segments. Allow users to select portions of audio and tag them with descriptive labels. These annotations could include time intervals, categories, and free-form notes.
5. **Search and Filter**: Provide advanced search and filtering options based on the annotations made. Users should be able to find specific parts of their audio files quickly by searching through tags and labels.
6. **Collaboration Tools**: Integrate basic collaboration features such as sharing annotated files with other users and allowing multiple users to work on the same file simultaneously.
7. **Export Options**: Offer options to export annotated audio files in different formats, ensuring that all annotations are preserved.
8. **Integration with External Services**: Consider integrating your application with external services like cloud storage providers for seamless file management.

**Suggested Features**:
- Support for multiple audio formats.
- Real-time playback while annotating.
- Visual waveform display for better audio segmentation.
- Undo/redo functionality for annotations.
- Backup and restore capabilities for annotations.

In each step, utilize 'Whombat' effectively to streamline the process of annotating audio files, making your application robust and efficient.