🤖 AI Analysis

Final verdict: SAFE

The package has minimal risks associated with it, showing no signs of network calls, shell executions, obfuscations, or credential harvesting. The main concern lies in its metadata, particularly the anonymity of the author and low activity level, but these do not conclusively indicate malicious intent.

No network calls detected
No shell execution patterns
No obfuscation patterns
No credential harvesting patterns
Anonymous author and low activity

Per-check LLM notes

Network: No network calls detected, which is normal for most utility packages.
Shell: No shell execution patterns detected, indicating the package does not execute system commands.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows some red flags such as an anonymous author and low activity, but no clear signs of typosquatting or other malicious intent.

🔬 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 score 2.5

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks

⚠ 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 CTkTrimSlider

Your task is to develop a simple yet powerful video trimming tool using Python. This utility will allow users to load a video file, set start and end points for trimming, and save the trimmed video as a new file. To accomplish this, you'll leverage the 'CTkTrimSlider' package, which provides a customizable slider widget for selecting video trim points within a customtkinter GUI.

### Project Steps:
1. **Setup Environment**: Ensure your environment has Python installed and install necessary packages such as `customtkinter`, `moviepy`, and `CTkTrimSlider`.
2. **GUI Design**: Use `customtkinter` to design a user-friendly interface. Include buttons for opening a video file, setting trim points via `CTkTrimSlider`, and saving the trimmed video.
3. **Video Loading**: Implement functionality to load a video file into the application. Display basic information about the video (e.g., duration).
4. **Trimming Functionality**: Utilize `CTkTrimSlider` to enable users to select start and end points for trimming. These points should dynamically update as the user interacts with the slider.
5. **Save Trimmed Video**: Add a feature to save the trimmed video to a specified location on the user's device.
6. **Enhancements**: Consider adding additional features such as previewing the trimmed video before saving, support for multiple video formats, and error handling for common issues like unsupported file types or incorrect trim settings.

### Key Features:
- **User-Friendly Interface**: Intuitive design with clear instructions and visual feedback.
- **Customizable Slider**: Use `CTkTrimSlider` to offer a sleek and responsive way to set trim points.
- **Multiple File Formats Support**: Allow users to work with various video formats.
- **Preview Feature**: Before saving, provide a quick preview of the trimmed video.
- **Error Handling**: Gracefully handle errors such as invalid file paths or unsupported video formats.

This project not only showcases the capabilities of `CTkTrimSlider` but also demonstrates effective integration of multimedia processing libraries in Python.