ai-voice-answers

v0.1.7 safe
4.0
Medium Risk

A click-to-talk interface that turns voice questions into spoken AI answers.

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risk indicators with no network calls or obfuscation, and no signs of credential harvesting. However, the metadata risk due to low engagement and anonymous authorship slightly elevates the overall risk score.

  • Low network and obfuscation risk
  • No credential harvesting
  • Metadata and shell execution raise minor concerns
Per-check LLM notes
  • Network: No network calls detected, which is normal and expected.
  • Shell: Shell executions observed are likely intended for opening files on different operating systems, which is not inherently malicious but should be reviewed in context.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, indicating low risk of secret theft.
  • Metadata: The repository's lack of engagement and the author's anonymity suggest potential risks, but there's no concrete evidence of malicious intent.

📦 Package Quality Overall: Low (3.2/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/trucomanx-voice/AiVoiceAnswers/tree/main/
  • Detailed PyPI description (1067 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
◈ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 24 commits in trucomanx-voice/AiVoiceAnswers
  • Single author but highly active (24 commits)

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 6.0

Found 3 shell execution pattern(s)

  • esktop_path) try: subprocess.run( ["update-desktop-database", applications_dir],
  • == 'darwin': # macOS subprocess.run(["open", filepath]) elif os.name == 'posix': # Linux/ma
  • osix': # Linux/macOS subprocess.run(['xdg-open', filepath]) ###################################
✓ 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 score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ 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 ai-voice-answers 
Create a voice-based educational quiz application using the 'ai-voice-answers' package. This application should allow users to engage in a series of multiple-choice questions on various topics such as history, science, or general knowledge. The user will speak their answer, and the app will provide feedback through voice output, either confirming the correctness of the answer or providing the correct answer if incorrect.

Steps to develop the application:
1. Set up the development environment with Python and install the 'ai-voice-answers' package.
2. Design a simple user interface that includes a start button to begin the quiz session and a visual indicator showing the current question number.
3. Implement a backend that fetches a set of pre-defined questions from a local file or an online API. Each question should have four possible answers.
4. Integrate the 'ai-voice-answers' package to convert the spoken questions into text and generate spoken responses based on the user's input.
5. Develop a scoring system that tracks the number of correct answers and displays it at the end of the quiz session.
6. Add voice feedback for each question answered, including positive reinforcement for correct answers and constructive feedback for incorrect ones.
7. Ensure the application can handle different languages and accents to make it accessible to a wider audience.
8. Test the application thoroughly to ensure smooth operation and accurate voice recognition.

Suggested Features:
- User authentication to save scores across sessions.
- Multiple difficulty levels for the quizzes.
- Voice-based navigation through the application menus.
- Integration with social media platforms to share scores.
- Real-time voice feedback for quicker learning.
- Offline mode to access quizzes without internet connection.