AI Analysis
The package ansinout v1.0.3 has minimal risks associated with it, with no network calls, shell executions, or obfuscation techniques observed. While metadata concerns exist, they do not indicate malicious intent.
- Low risk scores across all categories.
- Missing author information and lack of Git repository link.
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution 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 missing author information and no linked Git repository, but there's no evidence of typosquatting or malicious intent.
Package Quality Overall: Low (3.2/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (10379 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
23 type-annotated function signatures detected in source
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: gmail.com>
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a terminal-based task management application using the 'ansinout' Python package. This application will allow users to manage their daily tasks through a user-friendly interface directly within the terminal. The application should support adding new tasks, marking tasks as completed, deleting tasks, and listing all tasks with their status. ### Core Features: - **Task Addition:** Users should be able to add new tasks with descriptions and due dates. - **Task Completion:** Users can mark tasks as completed. - **Task Deletion:** Tasks can be deleted if they are no longer needed. - **Task Listing:** Display all tasks with their current status (completed or not). - **Due Date Sorting:** List tasks sorted by their due date. ### Additional Features (Optional): - **Search Functionality:** Allow searching for specific tasks by keywords. - **Priority Levels:** Introduce priority levels for tasks (high, medium, low). - **Export/Import:** Option to export task lists to a file and import them back into the application. - **User Authentication:** Basic user authentication to protect personal task lists. ### How to Use 'ansinout': - Utilize 'ansinout' to create a clean and interactive command-line interface for the task management application. Implement menus, input prompts, and display outputs in a structured manner to enhance user experience. - Use 'ansinout' functions to handle user inputs effectively and provide real-time feedback on actions taken. ### Development Steps: 1. Set up your development environment with Python installed. 2. Install the 'ansinout' package. 3. Design the structure of your application including classes for tasks and the main application logic. 4. Implement the core functionalities mentioned above. 5. Enhance the application by adding additional features as desired. 6. Test your application thoroughly to ensure it works as expected. 7. Document your code and provide instructions for running the application.
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