AI Analysis
The package ailingues-core v0.3.5 exhibits low risks in terms of network activity, shell execution, and obfuscation. However, the lack of a GitHub repository and incomplete maintainer information elevate its metadata risk, raising concerns about potential supply-chain attacks.
- No network calls detected
- Incomplete maintainer information
- No associated GitHub repository
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution patterns detected, indicating no immediate signs of malicious shell command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package has no associated GitHub repository and the maintainer information is incomplete, which raises some suspicion.
Package Quality Overall: Low (2.0/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (6654 chars)
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
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: ailingues.com>
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a language learning app called 'PolyglotPal' that leverages the 'ailingues-core' package to provide users with personalized language learning experiences. This app should include features such as vocabulary quizzes, sentence structure practice, and pronunciation guides. Utilize 'ailingues-core' to handle the backend logic for these features, including data retrieval, user progress tracking, and adaptive difficulty adjustment based on user performance. Step 1: Set up the project environment, ensuring you have 'ailingues-core' installed. Step 2: Design the user interface for the app, focusing on simplicity and ease of use. Step 3: Implement the vocabulary quiz feature using 'ailingues-core' to fetch relevant vocabulary data and track user scores. Step 4: Add a sentence structure practice section where users can input sentences and receive feedback on their grammar and structure. Step 5: Integrate a pronunciation guide that allows users to record their voice and get real-time feedback on their pronunciation accuracy. Step 6: Ensure the app adapts its difficulty level based on the user's performance, making it more challenging as they improve. Step 7: Test the app thoroughly to ensure all features work smoothly and provide a satisfying user experience.
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