b2ai-voice-trimkit

v0.1.4 suspicious
5.0
Medium Risk

Audio trimming tool for acoustic researchers with Praat/parselmouth integration

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows potential signs of legitimate use with shell execution, but the inactive maintainer and lack of repository activity raise concerns about its authenticity and maintenance.

  • Shell risk detected, requiring further investigation.
  • Inactive maintainer and no recent repository activity.
Per-check LLM notes
  • Network: No network calls detected, which is normal and not indicative of malicious activity.
  • Shell: Detection of shell execution suggests it might be part of the package's intended functionality, but requires further investigation to ensure it doesn't execute unintended commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer seems new or inactive, and the repository has no activity, raising some suspicion.

📦 Package Quality Overall: Low (3.8/10)

○ 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 (1515 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 3 unique contributor(s) across 7 commits in Shrramana-USF/b2ai_voice_trimkit
  • Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

  • th("app.py") try: subprocess.run([sys.executable, "-m", "streamlit", "run", str(app_path), "-
✓ 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 "Shrramana-USF" 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 b2ai-voice-trimkit 
Create a user-friendly desktop application called 'VoiceTrimPro' using Python and the 'b2ai-voice-trimkit' package, which is designed to help acoustic researchers trim audio files efficiently. This application will allow users to upload an audio file, specify regions of interest, and apply various trimming operations. Here’s a detailed step-by-step guide on how to develop 'VoiceTrimPro':

1. **Project Setup**: Initialize your project environment. Ensure you have Python installed along with the necessary packages such as 'b2ai-voice-trimkit', 'Praat', and 'parselmouth'. Use a GUI framework like PyQt5 or Tkinter for the frontend.

2. **User Interface Design**: Design a simple yet effective user interface where users can:
   - Upload their audio files.
   - View the waveform of the uploaded file.
   - Select start and end points for trimming.
   - Apply filters to enhance the audio quality before trimming.

3. **Audio File Processing**: Implement functionality to process the selected audio region using 'b2ai-voice-trimkit'. Utilize the package’s integration with Praat and parselmouth to analyze and trim the audio based on user input. For example, if a user selects a region to trim, use 'b2ai-voice-trimkit' to precisely cut out unwanted parts while preserving the quality of the desired segment.

4. **Enhanced Features**:
   - **Noise Reduction**: Offer an option to reduce background noise in the trimmed audio.
   - **Spectral Analysis**: Provide visual feedback on the spectral characteristics of the audio segment being processed.
   - **Save Options**: Allow users to save the trimmed audio in various formats (e.g., WAV, MP3).

5. **Testing & Validation**: Test your application thoroughly to ensure it works correctly across different types of audio files. Validate the trimmed outputs against expected results.

6. **Documentation**: Write comprehensive documentation detailing how to install and use 'VoiceTrimPro', including examples of typical use cases.

This project aims to streamline the workflow of acoustic researchers by providing them with a powerful yet easy-to-use tool for audio trimming tasks.

💬 Discussion Feed

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