AI Analysis
Final verdict: SAFE
The package shows minimal signs of potential risks, primarily due to its use of network calls for API interactions and the maintainer having a single PyPI package.
- Low risk of shell execution, obfuscation, and credential harvesting.
- Metadata risk slightly elevated due to a single package from the maintainer.
Per-check LLM notes
- Network: The network calls suggest the package is making authenticated API requests, which could be normal for interacting with an API service.
- Shell: No shell execution patterns were detected.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity related to code obfuscation.
- Credentials: No credential harvesting patterns detected, suggesting that the package is not involved in secret or credential theft activities.
- Metadata: The maintainer has only one package on PyPI, which may indicate a new or less active account.
Package Quality Overall: Medium (6.0/10)
◈ Medium
Test Suite
6.0
Partial test coverage signals detected
Test runner config found: pyproject.toml
◈ Medium
Documentation
7.0
Some documentation present
Documentation URL: "Documentation" -> https://github.com/Thomas55555/aioautomowerDetailed PyPI description (3068 chars)
○ Low
Contributing Guide
4.0
No contributing guide or governance files found
Development Status classifier >= Beta
◈ Medium
Type Annotations
5.0
Partial type annotation coverage
82 type-annotated function signatures detected in source
✦ High
Multiple Contributors
8.0
Active multi-contributor project
3 unique contributor(s) across 100 commits in Thomas55555/aioautomowerSmall but multi-author team (3–4 contributors)
Heuristic Checks
Outbound Network Calls
score 3.0
Found 2 network call pattern(s)
) async with ( aiohttp.ClientSession(headers=AUTH_HEADERS) as session, session.post(AUTH_} async with ( aiohttp.ClientSession(headers=headers) as session, session.post(
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: gmail.com
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository Thomas55555/aioautomower appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Thomas Peter Protzner" 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 aioautomower
Create a real-time monitoring and control application for Husqvarna Automower using the 'aioautomower' Python package. Your application will allow users to connect to their Automower remotely and retrieve information about its status, such as battery level, lawn coverage percentage, and any detected obstacles or errors. Additionally, users should be able to send commands to start, stop, or pause the mower operation based on their preferences or environmental conditions. Key Features: 1. Connect to the Automower via Bluetooth or Wi-Fi. 2. Display current status including battery level, lawn coverage, and operational mode. 3. Log and display any error messages or obstacle detections. 4. Allow users to send commands to start, stop, or pause the mower. 5. Implement a user-friendly interface with clear visual indicators for each status. 6. Optionally, integrate with an external API (such as weather data) to automatically adjust mower operations based on weather conditions. Utilization of 'aioautomower': - Use 'aioautomower' to establish a connection with the Automower. - Retrieve status updates using the provided functions within the package. - Send commands to the mower using the package's command functionalities. - Ensure asynchronous handling of commands and status updates for smooth operation.