AI Analysis
The package exhibits low individual risks across various categories, but the metadata risk score suggests potential concerns about the maintainer's account activity level.
- Maintainer has only one package
- Low metadata risk score
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution detected, indicating no direct system command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has only one package, which may indicate a new or less active account, raising some suspicion but not enough to conclusively label it as malicious.
Package Quality Overall: Low (2.8/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (2523 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
14 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: wearcane.com
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
1 maintainer concern(s) found
Author "Arcane" 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 modern, user-friendly desktop application using Python and the 'arcane-notification' package that allows users to manage their daily notifications effectively. This application will serve as a personal notification hub, enabling users to schedule reminders, set alarms, and receive notifications from various sources such as emails, social media updates, and important news alerts. The app should also support customization of notification styles, sounds, and delivery times. Key Features: 1. User Interface: Develop an intuitive and sleek GUI using PyQt or Tkinter that allows easy interaction with the notification system. 2. Notification Scheduling: Implement functionality to allow users to schedule notifications at specific times or intervals. 3. Customization Options: Provide settings where users can customize the appearance and sound of notifications, including the ability to choose different themes and sound effects. 4. Integration Capabilities: Enable the app to pull notifications from external services like email accounts and social media platforms, ensuring secure data handling. 5. Notification History: Maintain a history of all sent notifications for review and reference. 6. Priority Levels: Allow setting priority levels for different types of notifications to ensure critical alerts are not missed. 7. Mobile App Sync: Consider integrating with a mobile app (if developed separately) for seamless cross-device notifications. Utilizing the 'arcane-notification' Package: - Use the 'NotificationManager' class from 'arcane-notification' to handle the creation, scheduling, and delivery of notifications. - Leverage the 'NotificationTemplate' feature to define customizable templates for different types of notifications. - Implement error handling mechanisms provided by 'arcane-notification' to ensure robustness in delivering notifications even under varying conditions. - Explore advanced features such as 'NotificationScheduler' for managing time-based notifications and 'NotificationReceiver' for integrating with external notification sources.
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