aiohomematic-contract

v2026.6.1 suspicious
4.0
Medium Risk

Cross-implementation contracts (golden fixtures + reference algorithms) shared by aiohomematic and py-openccu-loom-client.

🤖 AI Analysis

Final verdict: SUSPICIOUS

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)

✦ 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_channel_unique_id_golden.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (4594 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
  • 11 type-annotated function signatures detected in source
○ Low Multiple Contributors 2.0

Single-author or unverifiable project

  • 1 unique contributor(s) across 6 commits in sukramj/aiohomematic-contract
  • Single author with few commits — possibly a personal or throwaway project

🔬 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

Email domain looks legitimate: icloud.com>

Suspicious Page Links

All external links appear legitimate

Git Repository History score 5.0

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
Maintainer History score 8.0

4 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Package is very new: uploaded 3 day(s) ago
  • 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 aiohomematic-contract
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.