🤖 AI Analysis

Final verdict: SAFE

The package has no detected risks such as network calls, shell execution, obfuscation, or credential harvesting. It appears to be safe with a very low risk score.

No network calls detected.
No shell execution patterns found.

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require internet access.
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.

📦 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 5.0

Some documentation present

Brief PyPI description (499 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

12 type-annotated function signatures detected in source

✦ High Multiple Contributors 10.0

Active multi-contributor project

9 unique contributor(s) across 100 commits in timmo001/aiolyric
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

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: timmo.dev

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository timmo001/aiolyric appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author "Aidan Timson (Timmo)" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with aiolyric

Develop a home automation dashboard using the 'aiolyric' Python package which interfaces with the Honeywell Lyric Platform. This dashboard will allow users to monitor and control their home’s heating, ventilation, and air conditioning (HVAC) systems remotely. Your task is to create a simple yet functional web application using Flask, a lightweight web framework for Python, that integrates seamlessly with the aiolyric package. Here’s a detailed plan for your project:

1. **Setup Project Environment**: Begin by setting up your Python virtual environment and installing necessary packages including Flask and aiolyric.
2. **Authentication & Initialization**: Use the aiolyric package to authenticate with the Honeywell Lyric Platform. Implement user authentication for your Flask app to ensure secure access to HVAC controls.
3. **Data Retrieval**: Utilize aiolyric’s functionalities to retrieve real-time data from connected HVAC systems, such as current temperature, humidity levels, and system status.
4. **Dashboard Development**: Design a clean and intuitive dashboard within your Flask app to display this data. Include widgets that show temperature graphs over time, current conditions, and any alerts or notifications from the HVAC system.
5. **Control Interface**: Provide users with an interface to adjust settings on their HVAC systems directly through the dashboard. Features might include changing the setpoint temperature, switching modes (e.g., heat, cool), and scheduling.
6. **Alerts & Notifications**: Implement a feature where users receive notifications if there are issues detected with their HVAC systems, like low battery alerts for thermostats or unexpected changes in system performance.
7. **User Preferences & Settings**: Allow users to customize their experience with options to save preferred settings, configure alert preferences, and view historical data.
8. **Testing & Deployment**: Thoroughly test all functionalities of your application before deploying it to a server. Ensure that all data transmissions are secure and that user privacy is maintained.

This project will not only demonstrate the capabilities of the aiolyric package but also provide a practical solution for managing home HVAC systems more efficiently.