audiocut

v1.0.2 safe
4.0
Medium Risk

MP3/FLAC/WAV audio cutter

🤖 AI Analysis

Final verdict: SAFE

The package is primarily designed for audio file manipulation and does not exhibit significant risks such as network calls or credential harvesting. However, the use of subprocess execution and signs of low maintainer engagement slightly elevate its risk level.

  • Moderate shell risk due to subprocess usage
  • Low maintainer engagement
Per-check LLM notes
  • Network: No network calls were detected.
  • Shell: The use of subprocess execution might be legitimate for audio processing tasks, but it could also indicate potential risks like executing arbitrary commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows signs of low maintainer engagement and poor metadata quality, but there are no clear indicators of malicious intent.

📦 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 (5216 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 8 commits in kanehekili/AudioCut
  • Two distinct contributors found

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 8.0

Found 4 shell execution pattern(s)

  • , self.path] result = subprocess.Popen( cmd, stdout=subprocess.PIPE, stderr=subprocess.
  • , "quiet", ] result = subprocess.run(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE) if
  • self._proc = subprocess.Popen(args) self._proc.wait() if s
  • rgs) self._proc = subprocess.Popen(args) self._proc.wait() if self._pro
✓ 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

Repository kanehekili/AudioCut 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 audiocut 
Create a Python-based audio editing tool named 'AudioTrim' using the 'audiocut' package. This tool will allow users to easily cut and trim various types of audio files such as MP3, FLAC, and WAV. The application should include a simple GUI interface built with Tkinter, making it user-friendly and accessible.

Core functionalities:
1. Users should be able to load an audio file from their local system.
2. Provide options to specify start and end times for trimming the audio clip.
3. Allow saving the trimmed audio file back to the local system with an option to choose the output format (MP3, FLAC, or WAV).
4. Implement a feature to preview the trimmed audio before saving it.

Advanced Features:
- Support for batch processing multiple audio files at once.
- Option to add fade-in/fade-out effects on the trimmed audio segments.
- Include a feature to adjust volume levels of the trimmed audio clips.
- Provide an option to split the audio file into multiple segments based on time intervals.

Utilization of 'audiocut':
- Use 'audiocut.cut_audio' function to perform the actual cutting/trimming operation on the loaded audio file.
- Ensure compatibility with different audio formats supported by 'audiocut'.
- Leverage 'audiocut.save_audio' to save the modified audio files in the desired format.

This project aims to streamline the process of audio editing for content creators, podcasters, and anyone looking to manipulate audio files efficiently.

💬 Discussion Feed

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