AI Analysis
Final verdict: SAFE
The package FloriaKit v0.2.0 exhibits low risk across multiple indicators such as network, shell, and obfuscation risks. However, there are some concerns about its metadata, suggesting it may be from an inactive maintainer or is relatively new with no community engagement.
- Low risk in network, shell, and obfuscation categories.
- Metadata suggests potential inactivity or newness of the package.
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires internet access to function.
- 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 package shows signs of potentially being new or from an inactive maintainer, with no community engagement.
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: yandex.ru>
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 FloriaKit
Create a Python-based task management application named 'TaskMaster' that leverages the 'FloriaKit' package for annotation, validation, protocol adherence, and utility functionalities. TaskMaster will allow users to create, manage, and track tasks with various attributes such as title, description, due date, priority level, and status (e.g., pending, completed). Additionally, the application should support user authentication for secure access control. Here’s a detailed breakdown of the project requirements and how 'FloriaKit' will be integrated: 1. **User Authentication**: Implement a simple user registration and login system using Flask-Security or similar. Ensure that user data is securely stored. 2. **Task Management**: Users should be able to: - Create new tasks with required fields like title and description, and optional fields like due date, priority level, and status. - Edit existing tasks. - Mark tasks as completed. - Delete tasks. 3. **Data Validation**: Use FloriaKit to validate all input data ensuring that no invalid data gets saved into the database. For example, ensure that the due date is a valid date, and the priority level is within acceptable values. 4. **Annotation and Protocols**: Annotate your classes and methods using FloriaKit to adhere to specific protocols which could include methods for handling CRUD operations, logging, and error handling. 5. **Utility Functions**: Utilize FloriaKit’s utility functions to simplify common operations such as generating unique IDs for tasks or formatting dates. 6. **User Interface**: Develop a basic web interface using Flask or Django to interact with the application. The UI should be clean, intuitive, and responsive. 7. **Testing**: Write unit tests for your application to ensure all components work as expected. 8. **Documentation**: Provide comprehensive documentation on how to set up and use TaskMaster, including API documentation if applicable. By following these steps, you will build a robust, user-friendly task management tool that showcases the power and flexibility of the FloriaKit package.