AI Analysis
Final verdict: SAFE
The package AllyTools v0.7.0 presents minimal risks based on the analysis conducted. It lacks network calls, shell executions, obfuscations, and credential harvesting activities.
- missing maintainer information
- untraceable repository
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external API access.
- Shell: No shell execution patterns detected, indicating no immediate signs of malicious activity.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
- Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
- Metadata: The package shows some red flags, including a missing maintainer name and a repository that cannot be found.
Package Quality Overall: Low (3.2/10)
β Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
β Medium
Documentation
5.0
Some documentation present
Brief PyPI description (568 chars)
β Low
Contributing Guide
2.0
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
β Medium
Type Annotations
7.0
Partial type annotation coverage
Classifier: Typing :: Typed48 type-annotated function signatures detected in source
β Low
Multiple Contributors
1.0
Could not retrieve contributor data from GitHub
GitHub API error: 404
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
All external links appear legitimate
Git Repository History
score 3.0
Repository not found (deleted or private)
Repository not found (deleted or private)
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 allytools
Your task is to develop a Python-based desktop application named 'TaskMaster' using the 'allytools' utility toolkit. This application aims to streamline daily task management for users, providing them with a user-friendly interface to organize their tasks, set reminders, and track progress. Hereβs a detailed breakdown of what your application should achieve: 1. **Task Creation**: Users should be able to create new tasks with titles, descriptions, due dates, and priority levels. 2. **Task Management**: Tasks should be categorized into different lists such as 'To Do', 'In Progress', and 'Completed'. Users can move tasks between these lists as they progress. 3. **Reminders**: For each task, users can set reminders. These reminders can be configured to notify users via email or desktop notifications. 4. **Progress Tracking**: The application should allow users to mark tasks as completed and provide a visual representation of the completion status. 5. **Search Functionality**: A robust search function should enable users to find specific tasks based on keywords from titles or descriptions. 6. **User Profiles**: Each user should have a profile where they can set default task settings and preferences. 7. **Data Persistence**: Ensure that all data is saved locally or remotely so that it persists across sessions. ### Utilizing 'allytools' - Use 'allytools' for its core functionalities related to data manipulation, file handling, and utility functions that will simplify the development process. Specifically, leverage 'allytools' for: - Efficiently storing and retrieving task data. - Handling user profiles and preferences. - Generating and managing reminders. - Enhancing the user interface with additional widgets and utilities provided by the package. ### Development Steps 1. Set up the initial project structure and install necessary packages including 'allytools'. 2. Design and implement the database schema using 'allytools' for data persistence. 3. Develop the user interface using a framework like PyQt or Tkinter, integrating 'allytools' utilities for enhanced functionality. 4. Implement task creation, management, and tracking functionalities. 5. Add reminder functionality, utilizing 'allytools' for email and notification services. 6. Integrate a search feature for easy task retrieval. 7. Implement user profile management. 8. Test the application thoroughly to ensure all features work as expected. 9. Deploy the application, ensuring it is user-friendly and efficient. This project will not only demonstrate your ability to utilize 'allytools' effectively but also showcase your skills in developing comprehensive applications that solve real-world problems.