🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has no network calls, shell executions, or obfuscations, which are all good signs. However, it has low-quality metadata and appears to be newly created, which raises some suspicion.

Low metadata quality
Recently created package

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.
Metadata: The package shows signs of being newly created with low metadata quality, raising suspicion but not conclusive evidence of malice.

🔬 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: gmail.com

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ 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 2 day(s) ago
Author "Imortal" 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 Air-stt

Create a voice-controlled home automation system using Python and the 'Air-stt' package. This mini-app will allow users to control various smart home devices such as lights, thermostats, and security systems through voice commands. The app should have the following core functionalities:

1. **Voice Command Recognition**: Utilize the 'Air-stt' package to convert spoken words into text. This will form the basis of your voice command recognition system.
2. **Device Control**: Integrate the app with popular smart home devices APIs (e.g., Philips Hue for lights, Nest for thermostats) to enable users to turn devices on/off, adjust settings, etc., via voice commands.
3. **User Authentication**: Implement a simple user authentication mechanism to ensure only authorized users can access and control the devices.
4. **Command History Log**: Maintain a log of all executed commands for auditing purposes and to provide users with a history of their interactions with the system.
5. **Error Handling and Feedback**: Provide clear feedback to the user when commands are not recognized or cannot be executed due to device unavailability.
6. **Customizable Voice Commands**: Allow users to customize their voice commands to suit their preferences.

To utilize the 'Air-stt' package effectively, follow these steps:
- Install the package via pip or the method specified in its documentation.
- Use 'Air-stt' to capture audio input from the user, process it, and convert it into text.
- Map the recognized text to predefined commands and actions for controlling smart home devices.
- Ensure robust error handling and logging mechanisms are in place to enhance reliability and user experience.