asrada

v0.0.1 suspicious
4.0
Medium Risk

Reserved dummy Python package for the asrada project namespace.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal activity and does not engage in risky behaviors such as network calls or shell executions. However, its novelty and lack of clear purpose raise some concerns.

  • New package with limited maintainer history
  • No apparent functionality beyond package metadata
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package's functionality requires external communications.
  • Shell: No shell execution detected, indicating no immediate signs of executing system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting no immediate threat to secrets or credentials.
  • Metadata: The package appears new and has limited maintainer history, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Low (2.0/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Brief PyPI description (252 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
○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

  • GitHub API error: 404

🔬 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 score 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Author "asrada maintainers" 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 asrada 
Create a voice-to-text transcription tool using the 'asrada' Python package. This application will serve as a simple yet powerful utility for converting spoken language into written text, which can be particularly useful for note-taking during lectures, interviews, or meetings. Here’s a step-by-step guide on how to develop this tool:

1. **Project Setup**: Start by setting up your development environment. Ensure you have Python installed, then create a new virtual environment for your project. Install the 'asrada' package via pip.

2. **Core Functionality**: Utilize the 'asrada' package to enable real-time speech recognition. Your app should allow users to start and stop recording their voices and display the transcribed text in real-time.

3. **User Interface**: Design a simple and intuitive user interface where users can interact with the app. Consider using a GUI framework like Tkinter or a web framework like Flask if you prefer a web-based solution.

4. **Enhancements**:
   - **Voice Control**: Implement features that allow users to control the app using voice commands (e.g., starting/stopping the recording).
   - **Multiple Languages Support**: Extend the functionality to support multiple languages for transcription.
   - **File Saving**: Enable users to save their transcriptions to a file or upload them to a cloud storage service.

5. **Testing**: Thoroughly test the application to ensure it works seamlessly across different devices and environments. Pay special attention to the accuracy of the transcriptions and the responsiveness of the UI.

6. **Documentation**: Write comprehensive documentation that guides users through installing and using the application effectively.

Remember, the 'asrada' package is designed to handle the core speech recognition tasks. Your job is to integrate its functionalities into a user-friendly application that makes voice-to-text transcription accessible and efficient.

💬 Discussion Feed

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