AI Analysis
The package shows signs of potential low effort or malicious intent due to metadata issues, including a lack of maintainer history and no GitHub repository. However, other checks show low risks for network, shell execution, and obfuscation.
- Metadata risk with low maintainer history and no GitHub repository
- Potential network risk due to hardcoded URLs
Per-check LLM notes
- Network: Network calls are likely for legitimate API interactions, but could indicate data exfiltration if URLs are hardcoded and suspicious.
- Shell: No shell execution patterns detected, suggesting low risk.
- 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 shows several red flags such as lack of maintainer history and absence of a GitHub repository, indicating potential low effort or malicious intent.
Package Quality Overall: Low (2.8/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (2203 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
8 type-annotated function signatures (partial)
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
Heuristic Checks
Found 2 network call pattern(s)
try: response = requests.post( str(self.oneaccount_login_url),try: response = requests.post( self.api_url, headers=hea
No obfuscation patterns detected
No shell execution patterns detected
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
4 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor name is missing or very shortAuthor "" 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 fully-functional mini-application called 'SpeechGuard' that leverages the 'axa-yap' package to enable secure voice dictation on Windows systems. The application should allow users to activate dictation mode by holding down a specified key (such as the 'Windows' key), and then speak their commands or text input. Once the user releases the key, the spoken words will be converted into text using SecureGPT technology, ensuring that all interactions remain private and secure. Key Features: 1. Hold-to-Speak Mode: Users can start dictating by pressing and holding a predefined key and stop dictation by releasing it. 2. Secure Text Conversion: Utilize SecureGPT to convert spoken words into written text, maintaining privacy throughout the process. 3. Customizable Key Binding: Allow users to choose which key activates the dictation feature. 4. Real-time Feedback: Display the text being dictated in real-time within the application window. 5. Error Correction Interface: Provide an easy-to-use interface for correcting any transcription errors immediately after dictation. 6. Export Functionality: Enable users to save their dictated text to a file or clipboard. 7. User Guide: Include a comprehensive guide explaining how to use each feature and customize settings. Utilization of 'axa-yap': - Import the 'axa-yap' package to handle the Windows-specific hold-to-speak functionality. - Use the SecureGPT component within 'axa-yap' to ensure that all dictation is processed securely. - Integrate the package's event listeners to detect when the activation key is pressed and released. - Implement the package's text conversion methods to receive real-time feedback from SecureGPT during dictation. - Customize the application's UI to reflect the output of the text conversion process. - Ensure all interactions with the package respect user privacy and security principles.
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