🤖 AI Analysis

Final verdict: SAFE

The package has minimal risks associated with it, including no shell execution, obfuscation, or credential harvesting. The metadata risk is slightly elevated due to the maintainer having only one package, but this alone does not suggest a supply-chain attack.

Low network risk
Single package from maintainer

Per-check LLM notes

Network: The presence of network calls is common but should be reviewed to ensure they align with the package's intended functionality.
Shell: No shell execution patterns detected, which is normal and does not indicate any immediate risk.
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.

📦 Package Quality Overall: Medium (5.6/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

Test runner config found: pyproject.toml

◈ Medium Documentation 7.0

Some documentation present

Documentation URL: "Documentation" -> https://github.com/jenreh/appkit/tree/main/docs
Detailed PyPI description (8416 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

385 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 score 4.5

Found 3 network call pattern(s)

http_client = httpx.AsyncClient( headers=wrapper.headers,
async with ( httpx.AsyncClient(headers=headers) as http_client, streamable_http
self._http_client = httpx.AsyncClient(timeout=30.0) return self._http_client async de

✓ 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 2.0

1 maintainer concern(s) found

Author "Jens Rehpöhler" 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-assistant

Create a fully-functional desktop application using Python that allows users to manage their daily tasks efficiently. This application will be called 'TaskMaster' and will utilize the 'appkit-assistant' package to enhance its user interface and functionality. Here are the steps and features you need to implement:

1. **Setup Environment**: Ensure you have Python installed along with the 'appkit-assistant' package. Use pip to install the package if it’s not already installed.

2. **Application Structure**: Design the application structure. It should have a main window where users can add, edit, delete, and view tasks. Each task should include details like title, description, due date, and priority level.

3. **User Interface**: Utilize 'appkit-assistant' to create an intuitive and visually appealing UI. The UI should be easy to navigate and should allow users to quickly add new tasks, mark them as completed, or delete them.

4. **Task Management Features**:
- **Add Task**: Users should be able to add new tasks by entering a title, description, due date, and priority level.
- **Edit Task**: Allow users to modify any task they've added.
- **Delete Task**: Provide a way to remove tasks that are no longer needed.
- **View Tasks**: Display all tasks in a list format. Optionally, sort them based on priority or due date.

5. **Data Persistence**: Implement data persistence so that tasks are saved even when the application is closed. You can use SQLite for storing the tasks.

6. **Notifications**: Integrate notifications for upcoming tasks. For example, remind users of tasks that are due soon.

7. **Customization Options**: Allow users to customize the appearance of the application through settings.

8. **Testing and Debugging**: Test the application thoroughly to ensure all features work as expected. Fix any bugs that arise during testing.

9. **Deployment**: Once the application is ready, prepare it for deployment. Create an installer for Windows and macOS to make it easily accessible to users.

Throughout the development process, leverage 'appkit-assistant' to streamline the creation of the UI and enhance the overall user experience. The goal is to provide a robust tool that helps users stay organized and productive.