🤖 AI Analysis

Final verdict: SAFE

The package appears to be safe with no detected network calls, shell executions, obfuscations, or credential risks. The metadata risk is slightly elevated due to low activity and effort, but there are no clear signs of malicious intent.

No network calls
No shell executions
Low obfuscation risk
No credential harvesting patterns
Elevated metadata risk due to low activity

Per-check LLM notes

Network: No network calls were detected, which is normal if the package does not require external API access.
Shell: No shell execution patterns were detected, indicating that the package likely does not execute 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 low activity and effort, but lacks clear indicators of malicious intent.

🔬 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 6.0

3 maintainer concern(s) found

Only one version has ever been released — brand new package
Author "Ayush Singh" 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 AyushTech-STT

Create a voice-controlled task manager application using the AyushTech-STT Python package. This application will allow users to add, delete, and manage tasks through voice commands. Here’s a detailed breakdown of the project requirements and steps:

1. **Project Setup**: Initialize a new Python project and install the AyushTech-STT package.
2. **Voice Input Integration**: Utilize AyushTech-STT to convert user speech into text. Ensure the application captures real-time audio input from the user and processes it accurately.
3. **Task Management Features**:
- **Add Task**: Users should be able to dictate a new task, which the application will then add to their task list.
- **Delete Task**: Implement functionality where users can specify a task by name or number and have it removed from the list.
- **View Tasks**: Provide an option for users to hear back their current task list.
4. **Enhancements**:
- **Priority Levels**: Allow users to set priorities for their tasks by specifying high, medium, or low during dictation.
- **Due Dates**: Enable users to assign due dates to their tasks through voice commands.
5. **User Interface**: Although primarily voice-driven, consider adding a simple console-based UI for displaying task lists and other information.
6. **Testing & Debugging**: Test the application thoroughly to ensure accurate speech recognition and proper task management functionalities.
7. **Documentation**: Write clear documentation on how to use the application, including setup instructions and examples of voice commands.

This project aims to showcase the capabilities of AyushTech-STT in building practical applications that enhance productivity and convenience.