AI Analysis
The package exhibits a high shell risk due to the use of subprocess.shell=True, which can be exploited to execute arbitrary commands. However, there is no evidence of obfuscation or credential harvesting, and the network risk is moderate.
- High shell risk due to subprocess.shell=True
- Moderate network risk due to SMTP usage
Per-check LLM notes
- Network: The use of SMTP suggests email functionality which might be legitimate, but without context it could imply unauthorized communication.
- Shell: Executing arbitrary commands with subprocess.shell=True poses a high risk as it can be leveraged to perform any action on the system, suggesting potential for exploitation.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, indicating secure handling of secrets.
- Metadata: Low activity and lack of classifiers suggest low effort, but no clear indicators of malicious intent.
Package Quality Overall: Low (1.2/10)
No test suite detected
No test files or test-runner configuration detected
No documentation detected
No documentation URL, doc files, or meaningful description found
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
Heuristic Checks
Found 1 network call pattern(s)
= args["to"] with smtplib.SMTP("smtp.gmail.com", 587) as s: s.starttls()
No obfuscation patterns detected
Found 4 shell execution pattern(s)
r os.getcwd() r = subprocess.run(args["command"], shell=True, capture_output=True, text=True,' | head -20" r = subprocess.run(cmd, shell=True, capture_output=True, text=True, timeout=10)bprocess.run(args["command"], shell=True, capture_output=True, text=True, timeout=30, cwd=cwd)r = subprocess.run(cmd, shell=True, capture_output=True, text=True, timeout=10) re
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
2 maintainer concern(s) found
Author "Vineeth Konda" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a desktop application named 'AuraControl' using Python and the 'aura-assistant' package. This application will serve as a user-friendly interface to interact with Aura, your personal AI assistant, which provides full system control capabilities. The app should have a clean, modern UI with easy-to-use controls for various system operations managed by Aura. Step-by-Step Instructions: 1. Install the 'aura-assistant' package via pip. 2. Set up a basic Python GUI framework such as PyQt5 or Tkinter for the application window. 3. Integrate Aura's core functionalities into the GUI, allowing users to perform tasks like adjusting system settings, launching applications, controlling media playback, and managing notifications directly from the app. 4. Implement voice command support through Aura's voice recognition API, enabling hands-free operation of the app. 5. Add customization options where users can personalize their experience with Aura, such as changing themes or setting preferences for specific commands. 6. Ensure the application has robust error handling and user feedback mechanisms to improve usability and reliability. 7. Finally, deploy the application as a standalone executable file so it can be easily installed on other computers. Suggested Features: - A dashboard displaying current system status (e.g., CPU usage, network activity). - Buttons and menus for common system actions (e.g., mute/unmute, brightness adjustment). - Voice command activation through a dedicated button or hotkey. - Customizable shortcuts for frequently used commands. - Integration with external services or devices for extended functionality. How 'aura-assistant' is Utilized: - Use 'aura-assistant' to handle all interactions with the underlying system. For example, when a user clicks the 'Mute' button in the app, the 'aura-assistant' package would execute the appropriate system command to mute the audio output. - Leverage Aura's AI capabilities to provide smart suggestions based on user behavior or context, enhancing the overall user experience. - Employ Aura's voice recognition API to process spoken commands and translate them into actions within the application.
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