AI Analysis
The package exhibits low risks across all categories except metadata, where the maintainer's incomplete profile raises slight concerns. However, there is no concrete evidence to suggest malicious intent.
- No network calls or shell executions detected
- Maintainer has an incomplete profile
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires network interaction for its functionality.
- Shell: No shell execution patterns detected, reducing risk of unauthorized system access.
- Obfuscation: No obfuscation patterns detected, suggesting low risk.
- Credentials: No credential harvesting patterns detected, indicating safe usage.
- Metadata: The maintainer has an incomplete profile and a new/inactive account, raising some suspicion but not definitive evidence of malice.
Package Quality Overall: Medium (6.2/10)
Test suite present — 5 test file(s) found
Test runner config found: pyproject.toml5 test file(s) detected (e.g. test_common.py)
Some documentation present
Detailed PyPI description (3570 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
163 type-annotated function signatures detected in source
Active multi-contributor project
8 unique contributor(s) across 100 commits in home-assistant-libs/aioshellyActive community — 5 or more distinct 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
Email domain looks legitimate: home-assistant.io>
All external links appear legitimate
Repository home-assistant-libs/aioshelly appears legitimate
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a home automation dashboard using the 'aioshelly' Python package to control and monitor Shelly smart home devices. This application will serve as a central hub for managing various Shelly devices such as switches, plugs, sensors, etc., providing real-time status updates and allowing users to remotely control their devices from a web interface. Step 1: Set up the environment - Install Python and necessary libraries including 'aioshelly'. - Configure your Shelly devices to allow remote access. - Obtain API credentials if required by the Shelly cloud service. Step 2: Develop the backend - Use 'aioshelly' to establish connections with Shelly devices. - Implement functions to retrieve device statuses, including power consumption, temperature readings, etc. - Create functions to send commands to Shelly devices, like turning lights on/off, adjusting thermostat settings, etc. Step 3: Design the frontend - Build a simple yet intuitive web interface using HTML/CSS/JavaScript. - Integrate the frontend with the backend via RESTful APIs. - Display live data from Shelly devices on the dashboard. - Allow users to interact with the dashboard to control their devices. Suggested Features: - Real-time monitoring of multiple Shelly devices. - Historical data visualization for energy usage and other metrics. - User authentication to secure access to the dashboard. - Notifications for device status changes or alerts based on sensor readings. How 'aioshelly' is Utilized: - Establishing asynchronous connections to Shelly devices to ensure smooth and responsive operation. - Using 'aioshelly' to periodically fetch and update device statuses in real-time. - Leveraging 'aioshelly' for sending commands to Shelly devices to execute user actions from the dashboard.