🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risk indicators with no network calls and benign shell executions. The low metadata score due to the maintainer's limited presence is not enough to conclusively label it as suspicious or malicious.

No network calls detected
Shell executions appear benign
Single package and missing author name in metadata

Per-check LLM notes

Network: No network calls detected, which is typical and not suspicious.
Shell: The detected shell execution pattern appears to be for internal help command generation and does not suggest malicious activity.
Metadata: The maintainer's author name is missing and they appear to have only one package on PyPI, which may indicate a less experienced or potentially suspicious user.

📦 Package Quality Overall: Medium (6.6/10)

✦ High Test Suite 9.0

Test suite present — 4 test file(s) found

Test runner config found: pyproject.toml
4 test file(s) detected (e.g. test_cli.py)

◈ Medium Documentation 7.0

Some documentation present

Documentation URL: "documentation" -> https://aiohomeconnect.readthedocs.io
Detailed PyPI description (2657 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

71 type-annotated function signatures detected in source

✦ High Multiple Contributors 10.0

Active multi-contributor project

5 unique contributor(s) across 100 commits in MartinHjelmare/aiohomeconnect
Active community — 5 or more distinct contributors

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

ython module.""" result = subprocess.run( [sys.executable, "-m", "aiohomeconnect", "--help"],

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository MartinHjelmare/aiohomeconnect 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 aiohomeconnect

Create a home automation assistant application using the 'aiohomeconnect' package. This application will allow users to manage their connected appliances such as washing machines, dishwashers, and ovens remotely. Here's a step-by-step guide on how to build it:

1. **Setup**: Begin by setting up your development environment with Python and installing the 'aiohomeconnect' package. Ensure you have a Home Connect developer account to obtain necessary credentials.
2. **Authentication**: Implement OAuth2 authentication to securely connect your application with Home Connect services. Use 'aiohomeconnect' to handle the authentication process, including obtaining access tokens.
3. **Device Discovery**: Develop a feature that discovers all connected devices. List these devices in a user-friendly interface, showing basic information like device type and status.
4. **Control Devices**: Allow users to control appliances directly from the app. For example, start a wash cycle, select a program, or adjust temperature settings for an oven. Utilize 'aiohomeconnect' methods to send commands to the devices.
5. **Status Updates**: Integrate real-time updates about the appliance statuses. Display notifications or alerts when a cycle ends or if there are any issues detected.
6. **History & Statistics**: Provide a history of recent activities for each device. Include statistics like energy consumption or water usage over time.
7. **Customization**: Offer customization options such as setting preferred programs, adjusting default settings, and configuring notification preferences.
8. **Testing & Deployment**: Thoroughly test the application under various scenarios to ensure reliability. Once satisfied, deploy the application either as a web app or a desktop application.

This project aims to create a versatile and intuitive tool for managing smart home appliances, enhancing user experience through seamless integration with 'aiohomeconnect'.