AI Analysis
Final verdict: SUSPICIOUS
The package shows low risks in direct execution and network activities but has a moderate metadata risk due to the maintainer's limited history and lack of community engagement.
- Low risk in network, shell execution, and obfuscation
- Moderate risk in metadata due to maintainer's limited history
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require internet access.
- Shell: No shell execution patterns detected, indicating the package does not execute external commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The repository has no stars or forks, and the maintainer has limited history with PyPI, which raises some concerns.
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
score 3.0
Suspicious email domain flags: Very short email domain: qq.com>
Very short email domain: qq.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 shortAuthor "" 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 PySide6-Fluent-Widgets-Qiao
Create a modern desktop application using PySide6-Fluent-Widgets-Qiao that functions as a simple task manager. This application should allow users to add, edit, delete, and mark tasks as completed. Additionally, implement a feature that categorizes tasks into different lists such as 'Personal', 'Work', and 'School'. The UI should be visually appealing and intuitive, leveraging the fluent design principles provided by the PySide6-Fluent-Widgets-Qiao package.
Step 1: Set up your development environment with Python and install PySide6-Fluent-Widgets-Qiao.
Step 2: Design the main window of the application, which includes:
- A menu bar with options like 'File' and 'Help'
- A toolbar with buttons for adding new tasks and clearing completed tasks
- A side panel that allows users to switch between different task categories ('Personal', 'Work', 'School')
- A central area that displays the list of tasks within the selected category
Step 3: Implement functionality for adding new tasks, including a dialog where users can enter task details such as title, description, due date, and priority level.
Step 4: Allow users to edit existing tasks by providing an option to modify task details from the main window.
Step 5: Enable marking tasks as completed, which should visually change the appearance of the task in the list.
Step 6: Add a feature to delete tasks, ensuring there is a confirmation dialog before deletion.
Throughout the process, utilize the PySide6-Fluent-Widgets-Qiao package to enhance the user interface with elements such as rounded corners, soft shadows, and other visual effects that adhere to the fluent design language. Pay special attention to the transition animations and hover effects to ensure a smooth and enjoyable user experience.