AI Analysis
The package shows no immediate signs of malicious activity such as network calls, shell executions, or obfuscation. However, its metadata raises concerns due to the absence of a maintainer history and a GitHub repository, suggesting potential issues with its provenance.
- Metadata risk is high due to missing maintainer history and GitHub repository.
- No other significant risks identified.
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
- Shell: No shell execution patterns detected, indicating the package does not execute system commands, reducing potential risks.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package appears suspicious due to its lack of maintainer history and an absent GitHub repository.
Package Quality Overall: Low (2.8/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (16860 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
Type checker (mypy / pyright / pytype) referenced in project
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
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: sppas.org>
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
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 'SyncMaster' that leverages the 'aviss' package to facilitate audio-video synchronization in multimedia projects. The application should allow users to upload both video and audio files separately, detect the clap sound in the audio file to synchronize it accurately with the visual cues in the video file, and then output a synchronized video file. Steps to build the application: 1. Set up a user-friendly interface where users can upload their video and audio files. 2. Implement a feature using the 'aviss' package to detect the clap sound in the audio file. 3. Use the detected clap time as a reference point to align the video frames with the audio. 4. Provide an option for users to preview the synchronization before finalizing the process. 5. Allow users to download the synchronized video file. Suggested Features: - Automatic detection of clap sounds in the audio file. - Manual adjustment options for fine-tuning the synchronization. - Support for multiple video and audio formats. - User-friendly interface for easy navigation and interaction. - Detailed logs or feedback on the synchronization process. How 'aviss' is Utilized: - The 'aviss' package will be used to analyze the uploaded audio file for clap sounds. Once detected, these sounds will serve as markers for synchronizing the video frames. The package's ability to provide frame-accurate synchronization ensures high precision in the alignment process.
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