🤖 AI Analysis

Final verdict: SAFE

The package has minimal risks with no network calls, shell executions, obfuscations, or credential harvesting attempts detected. The only notable concern is incomplete metadata, which does not indicate malicious intent.

No network calls detected.
Incomplete metadata.

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 no immediate risk of command injection or similar attacks.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows some signs of potential low activity and incomplete metadata but no clear malicious indicators.

🔬 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 score 2.0

Found 1 suspicious link(s) on the package page

Non-HTTPS external link: http://www.w3.org/2000/svg

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author name is missing or very short
Author "" 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 PyVideoKit-Libs

Develop a multimedia editing tool named 'ClipMaster' using the Python package 'PyVideoKit-Libs'. This tool will allow users to perform basic video editing tasks such as trimming, merging, and adding audio tracks to their videos. Additionally, ClipMaster should include features like adjusting volume levels and exporting the final edited video in various formats supported by FFmpeg.

Step-by-Step Instructions:
1. Setup your development environment with Python and install the necessary packages including 'PyVideoKit-Libs'.
2. Design a user-friendly command-line interface (CLI) for ClipMaster where users can input commands to edit their videos.
3. Implement functionality to trim video clips by specifying start and end times.
4. Add support for merging multiple video clips into a single video file.
5. Enable users to add audio tracks from external files to their videos.
6. Include options to adjust the volume of the video's audio track.
7. Allow users to export their edited video in different formats (e.g., MP4, AVI).
8. Test each feature thoroughly to ensure they work correctly with various video inputs.
9. Document the CLI commands and provide examples on how to use ClipMaster effectively.

How 'PyVideoKit-Libs' is Utilized:
- Use PyVideoKit-Libs for all FFmpeg-based operations such as reading video files, trimming, merging, adding audio, adjusting volume, and exporting videos. This package simplifies the interaction with FFmpeg, allowing developers to focus more on implementing the user interface and less on handling the complexities of video processing.