AI Analysis
The package is flagged as suspicious due to its moderate shell risk and low maintainer activity, which raises concerns about potential malicious intent or poor maintenance.
- moderate shell risk due to use of subprocess
- low maintainer activity and lack of essential metadata
Per-check LLM notes
- Network: No network calls detected.
- Shell: The use of subprocess and shell execution might indicate the package performs system-related tasks, but without context, it could potentially be a risk for executing arbitrary commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
- Credentials: No credential harvesting patterns detected, suggesting the package does not pose a risk for stealing secrets.
- Metadata: The package shows low maintainer activity and lacks essential metadata, suggesting potential low effort or malicious intent.
Package Quality Overall: Low (3.6/10)
Test suite present — 4 test file(s) found
4 test file(s) detected (e.g. test_App.py)
Some documentation present
Brief PyPI description (550 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
No type annotations detected
No type annotations, py.typed marker, or stub files detected
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
Found 1 shell execution pattern(s)
] result = subprocess.check_output(cmd, text=True) data = json.loads(result)
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
3 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Your task is to develop a fully-functional mini-application called 'Task Manager' using the Python package 'applp'. This application will serve as a simple tool for managing daily tasks, allowing users to add, edit, delete, and mark tasks as completed. The application should have a user-friendly graphical interface provided by the 'applp' library, which simplifies the creation of custom GUIs. ### Key Features: 1. **Add Task**: Users should be able to enter a new task description and add it to their task list. 2. **Edit Task**: Clicking on a task should allow users to edit its description. 3. **Delete Task**: Provide functionality to remove any task from the list. 4. **Mark Task as Completed**: Each task should have a checkbox next to it, allowing users to mark them as completed. 5. **Search Functionality**: Implement a search bar where users can find specific tasks by entering keywords. 6. **Save & Load Tasks**: The application should save the current task list to a file when closed and load it upon opening. 7. **Dark Mode Toggle**: Include a toggle switch for dark mode, changing the color scheme of the GUI. ### Utilizing 'applp': - Use 'applp' to create windows, buttons, text fields, checkboxes, and other UI elements. - Leverage 'applp' features for event handling such as button clicks, text input changes, etc. - Explore 'applp' capabilities for layout management and styling options to enhance the application's appearance. Your goal is to demonstrate proficiency in using 'applp' while building a practical and visually appealing application. Make sure to document your code well and provide clear instructions on how to run the application.
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