🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low individual risks but has incomplete author information and appears to be from a new or inactive account, raising concerns about its legitimacy.

Incomplete author information
New or inactive account

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires external services.
Shell: No shell execution patterns detected, indicating no immediate signs of malicious activity.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The author's information is incomplete and the account seems new or inactive, which could indicate potential issues but does not strongly suggest malice.

📦 Package Quality Overall: Medium (5.6/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

1 test file(s) detected (e.g. test_example_coverage.py)

◈ Medium Documentation 7.0

Some documentation present

Documentation URL: "Documentation" -> https://github.com/jenreh/appkit/tree/main/docs
Detailed PyPI description (13095 chars)

○ Low Contributing Guide 2.0

No contributing guide or governance files found

No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found

◈ Medium Type Annotations 5.0

Partial type annotation coverage

29 type-annotated function signatures detected in source

✦ High Multiple Contributors 8.0

Active multi-contributor project

3 unique contributor(s) across 100 commits in jenreh/appkit
Small but multi-author team (3–4 contributors)

🔬 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 jenreh/appkit appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author name is missing or very short
Author "" 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 appkit-mantine

Create a fully-functional mini-app using the 'appkit-mantine' package in Python, which integrates Mantine UI input components for Reflex with type safety and comprehensive examples. This app will serve as a simple task manager where users can create, view, edit, and delete tasks. Additionally, it should include a search functionality to find tasks based on keywords.

Step-by-Step Instructions:
1. Set up your development environment with Python installed and the 'appkit-mantine' package.
2. Initialize a new Reflex project and install the necessary dependencies.
3. Design the user interface using Mantine components provided by 'appkit-mantine'. Ensure you utilize at least three different input components such as TextField, Select, and DatePicker.
4. Implement backend logic to handle CRUD operations (Create, Read, Update, Delete) for tasks.
5. Add a search feature that allows users to search for tasks by title or description.
6. Make sure the app is responsive and works well on both desktop and mobile devices.
7. Test the app thoroughly to ensure all features work as expected.
8. Deploy the app to a hosting service of your choice.

Suggested Features:
- Utilize the TextField component for task titles and descriptions.
- Use the Select component for choosing task priorities (High, Medium, Low).
- Implement the DatePicker component for setting task deadlines.
- Include buttons for adding, editing, and deleting tasks.
- Display a list of tasks dynamically updated based on the backend data.
- Provide a search bar that filters the task list based on user input.
- Ensure the app maintains state across different pages or views.

How 'appkit-mantine' is Utilized:
- Leverage the 'appkit-mantine' package to quickly set up UI components with type safety.
- Follow the comprehensive examples provided by 'appkit-mantine' to integrate components seamlessly into your Reflex project.
- Take advantage of the package's built-in validation and error handling mechanisms to improve user experience.