🤖 AI Analysis

Final verdict: SAFE

The package MuffinTrack v2.0.1 exhibits minimal risk indicators. It does not engage in potentially harmful activities such as making network calls, executing shell commands, or using obfuscation techniques.

No network calls detected
No shell executions detected
No credential harvesting patterns detected

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require external communications.
Shell: No shell executions detected, indicating the package does not perform system-level commands that could be exploited.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The author has only one package, which might indicate a new or less active account, but no other red flags were raised.

🔬 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

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository jstz84/MuffinTrack appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Jessica Stultz" 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 MuffinTrack

Create a fully-functional mini-project management application using the Python package 'MuffinTrack'. This application will serve as a digital notebook where users can input their project tasks, deadlines, and notes directly in plain text format. Your goal is to leverage 'MuffinTrack' to parse these text inputs into structured objects, making it easier to manage and track projects.

**Steps to Build the Application:**
1. **Setup Environment**: Begin by setting up your Python environment and installing the necessary packages, including MuffinTrack.
2. **User Interface**: Design a simple user interface (CLI or basic GUI) where users can input their text notes about their projects.
3. **Parsing Notes**: Use MuffinTrack to parse the text notes into structured objects. Ensure that the parsing logic can identify key elements like task names, due dates, priorities, and additional notes.
4. **Task Management**: Implement functionality to add, edit, delete, and mark tasks as completed based on the parsed data.
5. **Display Options**: Provide options for displaying tasks in different views such as upcoming tasks, overdue tasks, and completed tasks.
6. **Exporting Data**: Allow users to export their project data in a readable format such as CSV or JSON.
7. **Integration with Calendar**: Consider integrating the app with a calendar API (like Google Calendar) to sync tasks and deadlines.
8. **Testing and Documentation**: Thoroughly test the application to ensure all functionalities work as expected and document the process and usage of the application.

**Suggested Features**:
- Priority levels for tasks (High, Medium, Low)
- Recurring tasks support
- Custom tags for categorizing tasks
- Search functionality within notes
- Notification system for upcoming deadlines

This project aims to demonstrate the versatility and utility of MuffinTrack in simplifying project management through text-based inputs.