AI Analysis
The package shows minimal direct risks but raises concerns due to its new creation and lack of maintainance history, suggesting potential supply-chain attack indicators.
- metadata risk due to new creation
- limited maintainer history
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external communications.
- Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows signs of being newly created with limited maintainer history and an empty git repository, raising suspicion but not conclusive evidence of malice.
Package Quality Overall: Medium (5.4/10)
Test suite present — 4 test file(s) found
Test runner config found: pyproject.toml4 test file(s) detected (e.g. test_channel_unique_id_golden.py)
Some documentation present
Detailed PyPI description (4594 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
Classifier: Typing :: Typed11 type-annotated function signatures detected in source
Single-author or unverifiable project
1 unique contributor(s) across 6 commits in sukramj/aiohomematic-contractSingle author with few commits — possibly a personal or throwaway project
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: icloud.com>
All external links appear legitimate
Git history flags: Repository created very recently: 5 day(s) ago (2026-06-01T18:27:09Z)
Repository created very recently: 5 day(s) ago (2026-06-01T18:27:09Z)Repository has zero stars and zero forks
4 maintainer concern(s) found
Only one version has ever been released — brand new packagePackage is very new: uploaded 3 day(s) agoAuthor 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 Python that integrates with various smart home devices through the 'aiohomematic-contract' package. This package provides cross-implementation contracts that help in maintaining consistency between different implementations of smart home device protocols. Your goal is to build a mini-application that can control and monitor smart home devices such as lights, thermostats, and security systems. Step 1: Set up your development environment. Ensure you have Python installed and create a virtual environment. Install necessary packages including 'aiohomematic-contract'. Step 2: Use 'aiohomematic-contract' to establish connections with your smart home devices. This involves understanding the contract specifications provided by the package to ensure compatibility and reliability across different devices and implementations. Step 3: Develop a user interface (UI) for your dashboard. This could be a simple command-line interface (CLI) or a web-based UI using Flask or Django. The UI should allow users to control their smart devices (turn lights on/off, adjust thermostat settings, etc.) and view real-time status updates from these devices. Step 4: Implement functionality for monitoring device statuses. Utilize the reference algorithms and golden fixtures provided by 'aiohomematic-contract' to accurately interpret data from your devices and display it in your dashboard. Suggested Features: - Device Control: Ability to turn devices on/off, adjust settings, etc. - Real-Time Monitoring: Display current status of devices in real-time. - Historical Data: Store and display historical data for analysis. - Notifications: Alert users via email or SMS when certain conditions are met. - Customizable Dashboard: Allow users to customize their dashboard layout. How 'aiohomematic-contract' is Utilized: - Establishing reliable connections with smart home devices through standardized contracts. - Ensuring consistent data interpretation across different devices and protocols. - Providing reference algorithms for accurate data processing. - Offering golden fixtures for testing and validating implementation correctness.