🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal risks in terms of network, shell, obfuscation, and credential usage. However, the metadata risk score is elevated due to the maintainer's new or inactive account and lack of proper author information, which raises some suspicion.

metadata risk due to new/inactive maintainer account
lack of detailed author information

Per-check LLM notes

Network: Network calls to an API client are expected if the package interacts with a Panasonic Comfort Cloud service.
Shell: No shell execution patterns detected, which is normal and expected.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The maintainer has a new or inactive account and lacks a proper author name, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Low (4.2/10)

○ 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 (3571 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

65 type-annotated function signatures detected in source

✦ High Multiple Contributors 8.0

Active multi-contributor project

4 unique contributor(s) across 100 commits in sockless-coding/aio-panasonic-comfort-cloud
Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

logging.INFO) async with aiohttp.ClientSession() as session: client = ApiClient(username, password,

✓ 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: sockless.tech>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository sockless-coding/aio-panasonic-comfort-cloud appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

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 aio-panasonic-comfort-cloud

Your task is to develop a user-friendly command-line interface (CLI) tool using Python that integrates with the Panasonic Comfort Cloud API through the 'aio-panasonic-comfort-cloud' package. This tool will allow users to remotely control their Panasonic air conditioning units, providing real-time status updates and the ability to adjust settings such as temperature, fan speed, and operation mode. Here’s a detailed breakdown of the project requirements:

1. **Authentication Module**: Implement a secure method for users to authenticate their Panasonic Comfort Cloud account credentials. Ensure that these credentials are stored securely using environment variables or a configuration file.
2. **Device Discovery**: After successful authentication, the tool should automatically discover all connected Panasonic air conditioning units associated with the user's account. Display a list of devices along with their current status (e.g., power state, temperature).
3. **Control Interface**: Provide commands for users to change the settings of their AC units. Users should be able to turn the unit on/off, set the desired temperature, switch between cooling/heating modes, and adjust the fan speed.
4. **Real-Time Monitoring**: Integrate a feature that periodically fetches and displays the latest status of the AC units. This could be implemented as a continuous loop or through a scheduled task.
5. **Logging and Error Handling**: Ensure that all interactions with the API are logged for debugging purposes. Implement robust error handling to manage potential issues such as network errors or invalid API responses.
6. **Help and Documentation**: Include a help command that provides usage instructions and lists all available commands. Additionally, write a README.md file explaining how to install and use the tool.

Utilize the 'aio-panasonic-comfort-cloud' package to interact with the Panasonic Comfort Cloud API. Familiarize yourself with its documentation to understand how to authenticate, retrieve device information, and send control commands. Your goal is to create a versatile and easy-to-use tool that showcases the capabilities of the package.