🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activity such as network calls, shell executions, obfuscations, or credential risks. The primary concern is the metadata risk due to its novelty and limited maintainer history.

No network calls detected
Limited maintainer history

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires external services.
Shell: No shell execution patterns detected, indicating no direct system command execution.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
Credentials: No credential harvesting patterns detected, suggesting safe handling of sensitive information.
Metadata: The package is new and has limited maintainer history, but there are no immediate red flags like typosquatting or suspicious links.

🔬 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: example.com

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Package is very new: uploaded 2 day(s) ago
Author "Project Requiem" 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 Requiem-STT

Create a real-time voice memo app called 'MemoMate' using Python and the 'Requiem-STT' package. This app will allow users to record their voice memos and convert them into written text for easy reference. Here’s how you can develop it step-by-step:

1. **Setup Environment**: Ensure your development environment is set up with Python installed. Install the 'Requiem-STT' package via pip.
2. **User Interface**: Design a simple yet intuitive user interface where users can start and stop recording their voice memos. Consider using libraries like Tkinter or PyQt for the GUI.
3. **Recording Functionality**: Implement functionality to record audio from the user's microphone. Use the 'wave' library to handle audio file creation.
4. **Speech-to-Text Conversion**: Utilize the 'Requiem-STT' package to transcribe the recorded audio into text. Integrate this feature so that as soon as a user stops recording, the app starts converting the audio to text.
5. **Text Display**: Once the conversion is complete, display the transcribed text on the user interface. Allow users to save these memos either locally or to a cloud storage service of their choice.
6. **Enhancements**: Consider adding features such as automatic memo categorization based on content, support for multiple languages, and a search function within saved memos.
7. **Testing**: Thoroughly test the application under various conditions to ensure reliability and accuracy of both the recording and transcription processes.
8. **Documentation**: Provide clear documentation on how to install and use MemoMate, including any setup instructions and troubleshooting tips.