🤖 AI Analysis

Final verdict: SAFE

The aiolifx package poses minimal risk based on the analysis of its network, shell, obfuscation, and credential risks, all scoring low. The metadata risk is slightly elevated due to the author's single package, but there are no clear signs of malicious activity.

Low risk scores across all categories
Single package from the author

Per-check LLM notes

Network: The observed network call is likely for product information retrieval and seems legitimate for a package dealing with LIFX smart home devices.
Shell: No shell execution patterns were detected.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent related to code obfuscation.
Credentials: No credential harvesting patterns detected, suggesting the package does not pose a risk for stealing secrets or credentials.
Metadata: The author has only one package, which may indicate a new or less active account, but no other red flags were identified.

📦 Package Quality Overall: Low (4.6/10)

○ Low Test Suite 1.0

No test suite detected

No test files or test-runner configuration detected

◈ Medium Documentation 5.0

Some documentation present

Detailed PyPI description (3476 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

5 type-annotated function signatures (partial)

✦ High Multiple Contributors 10.0

Active multi-contributor project

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

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

r/products.json"]: resp = requests.get(url) lifxp = json.loads(resp.text) defaults = lifxp[

✓ 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: wautier.eu

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository aiolifx/aiolifx appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "François Wautier" 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 aiolifx

Create a Python-based home automation tool using the 'aiolifx' library to control LIFX smart bulbs locally via a command-line interface. This tool will allow users to perform various actions on their LIFX bulbs such as turning them on/off, changing colors, adjusting brightness levels, and more. Additionally, the application should include a feature that allows users to set up and save custom light scenes which can be triggered at any time.

Step-by-Step Guide:
1. Install the required packages including 'aiolifx'.
2. Implement a function to discover all LIFX bulbs connected to the same network.
3. Develop functions to turn lights on and off individually or in groups.
4. Add functionality to change the color of the bulbs either by name or hex code.
5. Include options to adjust the brightness level of the bulbs.
6. Create a feature to set up custom light scenes where multiple settings can be saved together and applied instantly.
7. Integrate a scheduler to automate scene changes based on predefined times.
8. Ensure the application provides clear feedback about the status of commands sent to the bulbs.
9. Test the application thoroughly with different scenarios and configurations.

Suggested Features:
- Support for multiple bulb groups with unique identifiers.
- Ability to fade between colors gradually over a specified duration.
- Command history logging for troubleshooting purposes.
- User-friendly CLI interface with auto-completion support.