🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risks in terms of network usage, shell execution, obfuscation, and credential harvesting. However, incomplete author details and the absence of a GitHub repository raise concerns about its provenance.

Incomplete author details and missing GitHub repository.
Low risk in network, shell execution, obfuscation, and credential harvesting.

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require internet access.
Shell: No shell execution detected, which is expected unless the package needs to execute external commands.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
Credentials: No credential harvesting patterns detected, suggesting no immediate threat to stored secrets.
Metadata: The author's details are incomplete and the lack of a GitHub repository is concerning, but no typosquatting or suspicious links were detected.

🔬 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

Create a multimedia processing tool called 'ClipMaster' using the Python package 'PyVideoKit'. ClipMaster will allow users to perform various operations on video files such as trimming, merging, splitting, and converting formats. Additionally, it will provide basic editing functionalities like adding subtitles and adjusting volume levels. The application should have both command-line interface (CLI) and graphical user interface (GUI) options for ease of use.

Step 1: Set up the project environment. Install necessary packages including PyVideoKit and any other dependencies required for GUI development if choosing to implement one.

Step 2: Develop the CLI version of ClipMaster. This version should accept input parameters for specifying the source file, desired operation(s), and output file. Implement functions to handle each operation supported by PyVideoKit.

Step 3: Create a simple yet intuitive GUI for ClipMaster using a framework like Tkinter or PyQt. The GUI should allow users to select video files, choose operations from dropdown menus, configure settings (e.g., start/end times for trimming), and specify output locations.

Step 4: Integrate PyVideoKit's functionality into both the CLI and GUI versions. Ensure that all operations specified in the requirements are correctly implemented using PyVideoKit's APIs.

Step 5: Test the application thoroughly to ensure reliability and efficiency. Conduct tests on different types of videos and operations to validate the correctness of the implementation.

Suggested Features:
- Support for popular video formats.
- Real-time progress updates during processing.
- Ability to preview changes before finalizing edits.
- Saving and loading of projects for ongoing work.