AI Analysis
The package has minimal risks associated with network, shell execution, obfuscation, and credential handling. However, it shows low maintainer activity and poor metadata quality, which slightly elevates the metadata risk.
- Low maintainer activity
- Poor metadata quality
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
- Shell: No shell executions detected, reducing the risk of malicious activities like backdoors.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows low maintainer activity and poor metadata quality, but there are no clear signs of malicious intent.
Package Quality Overall: Low (3.4/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (5621 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
Active multi-contributor project
4 unique contributor(s) across 100 commits in AdaCompNUS/Autolife-PlanningSmall but multi-author team (3β4 contributors)
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
No author email provided
All external links appear legitimate
Repository AdaCompNUS/Autolife-Planning appears legitimate
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 Personal Life Planning Assistant using the 'autolife-planning' Python package. This application will help users organize their daily activities, manage their time effectively, and set personal goals. Hereβs a step-by-step guide on how to create this mini-app: 1. **Setup Environment**: Begin by setting up your Python environment and installing the 'autolife-planning' package. Ensure you have all necessary dependencies installed. 2. **User Interface Design**: Create a simple yet user-friendly interface where users can input their daily activities, including start times, end times, and priority levels. 3. **Activity Management**: Utilize 'autolife-planning' to manage these activities. The package should allow for adding, editing, deleting, and viewing activities. 4. **Goal Setting**: Implement a feature for setting personal and professional goals. Users should be able to specify deadlines and track progress towards achieving these goals. 5. **Time Management Tools**: Integrate tools within the app that help users better manage their time. This could include features like scheduling reminders, blocking off time for breaks, and analyzing productivity. 6. **Notifications and Reminders**: Set up notifications and reminders for upcoming tasks and goal milestones. Use the 'autolife-planning' package to handle scheduling and timing of these alerts. 7. **Analytics and Reporting**: Provide users with insights into their productivity over time. This could include graphs showing how much time they spend on different types of activities, trends in meeting deadlines, etc. 8. **Integration with External Services**: Optionally, integrate the app with calendar services or other productivity apps to sync data and enhance functionality. Suggested Features: - Activity categorization (work, leisure, health, etc.) - Priority-based sorting - Recurring event support - Customizable reminder settings - Goal tracking dashboard - Exporting data to CSV or PDF formats - Dark mode for the user interface How to Utilize 'autolife-planning': - For activity management, use the package's core functions to add, modify, and delete entries. - For goal setting, leverage any goal-oriented functionalities provided by the package to set milestones and track progress. - For time management, utilize the packageβs time-related functions to schedule reminders and analyze usage patterns. - For notifications, ensure that the package supports alert mechanisms or integrate third-party services if necessary. This project will not only serve as a practical tool but also as an excellent showcase of how the 'autolife-planning' package can be utilized to improve personal organization and productivity.
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