axio-audio

v0.9.7 safe
3.0
Low Risk

Microphone and speaker helpers for Axio realtime agents

🤖 AI Analysis

Final verdict: SAFE

The package has low risks across all key areas with no indications of malicious activity. However, the metadata quality and maintenance level are concerning.

  • Low network, shell, obfuscation, and credential risks.
  • Metadata quality and maintenance are suboptimal.
Per-check LLM notes
  • Network: No network calls detected, which is typical for most utility packages that do not require internet access.
  • Shell: No shell execution patterns detected, indicating the package does not attempt to execute system commands, reducing the risk of unauthorized access or operations.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows low maintenance and metadata quality issues, but there are no clear signs of malicious intent.

📦 Package Quality Overall: Medium (5.8/10)

✦ High Test Suite 9.0

Test suite present — 2 test file(s) found

  • Test runner config found: pyproject.toml
  • 2 test file(s) detected (e.g. test_microphone.py)
◈ Medium Documentation 5.0

Some documentation present

  • Documentation URL: "Documentation" -> https://docs.axio-agent.com
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 19 type-annotated function signatures detected in source
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 3 unique contributor(s) across 100 commits in mosquito/axio-agent
  • Small but multi-author team (3–4 contributors)

🔬 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

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository mosquito/axio-agent appears legitimate

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 axio-audio 
Create a real-time audio processing mini-app using the 'axio-audio' Python package. Your app will serve as a basic audio analysis tool, allowing users to capture live audio from their microphone, process it in real-time, and visualize the sound spectrum. Additionally, users should be able to play back the captured audio through their speakers. Here are the steps and features your project should include:

1. **Setup Environment**: Ensure you have Python installed and create a virtual environment. Install 'axio-audio' along with any other necessary libraries such as NumPy for numerical operations and Matplotlib for visualization.

2. **Microphone Input**: Use 'axio-audio' to capture live audio input from the user's microphone. Implement functionality to start and stop recording with simple UI controls.

3. **Real-Time Processing**: Once the audio is captured, process it in real-time to analyze the frequency components. Display the sound spectrum on a graph updated continuously as new data comes in.

4. **Visualization**: Utilize Matplotlib to plot the frequency spectrum in real-time. The graph should update dynamically as the audio is being processed.

5. **Playback Functionality**: Implement a feature where users can listen to the recorded audio through their speakers. This should also be controllable via the UI.

6. **User Interface**: Develop a simple GUI using a library like Tkinter. The interface should include buttons to start/stop recording, play/pause playback, and a slider to adjust the volume level.

7. **Save/Load Audio**: Allow users to save the captured audio to a file and load previously saved files for playback or further processing.

8. **Error Handling**: Ensure robust error handling is implemented for cases such as no microphone available or issues with file I/O.

9. **Documentation**: Write comprehensive documentation detailing how to install and use the app, including any dependencies and setup instructions.

By following these steps, you'll develop a fully functional mini-app that showcases the capabilities of 'axio-audio' while providing practical real-world utility.

💬 Discussion Feed

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