🤖 AI Analysis

Final verdict: SAFE

The package shows minimal signs of malicious activity, with no detected risks in shell execution, obfuscation, or credential harvesting. The metadata risk is slightly elevated due to the maintainer's single package, but this alone does not confirm any malicious intent.

No shell execution patterns detected
Maintainer has only one package

Per-check LLM notes

Network: The network calls seem to be legitimate API interactions, possibly for fetching vocabulary data.
Shell: No shell execution patterns detected, which is normal and expected.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The maintainer has only one package, which might indicate a new or less active account, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Low (2.8/10)

○ Low Test Suite 1.0

No test suite detected

No test files or test-runner configuration detected

◈ Medium Documentation 5.0

Some documentation present

Detailed PyPI description (3438 chars)

○ 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

89 type-annotated function signatures detected in source

○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

try: requests.get(addr) except requests.exceptions.RequestExceptio
: provider_response = requests.get( url, headers=headers, params=params, timeout=MO

✓ 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

Email domain looks legitimate: gmail.com

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "piglei" 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 ai-vocabulary-builder

Create a fully-functional mini-app called 'VocabMaster' that leverages the 'ai-vocabulary-builder' Python package to enhance users' vocabulary learning experience through interactive and engaging methods. This app will serve as an educational tool aimed at students, language learners, and anyone looking to improve their vocabulary skills. Here are the steps and features to include in your project:

1. **User Registration and Login**: Allow users to create accounts and log in securely. User data should be stored safely.
2. **Dashboard**: Display user progress, achievements, and personalized recommendations based on their learning history.
3. **One-Click Vocabulary Building**: Utilize the 'ai-vocabulary-builder' package to automatically generate a list of words tailored to the user's proficiency level and interests. These lists can be customized further by the user.
4. **Story-Based Memorization**: Implement stories where key vocabulary words are embedded naturally. Users can read these stories and answer comprehension questions to reinforce learning.
5. **Interactive Quizzes**: Develop quizzes that test users on their understanding and recall of the vocabulary learned through the stories and one-click lists.
6. **Progress Tracking**: Track user progress over time and provide feedback on areas needing improvement.
7. **Gamification Elements**: Introduce badges, points, and leaderboards to motivate users to engage more deeply with the content.
8. **Integration with External Dictionaries**: Allow users to click on any word in the app to view definitions, synonyms, antonyms, and example sentences from reputable dictionaries.
9. **Feedback System**: Enable users to provide feedback on the app's functionality and suggest improvements, which can be used to refine future updates.

Use the 'ai-vocabulary-builder' package to handle the core functionalities related to vocabulary generation and story creation. Ensure the app is intuitive and easy to use, making it accessible to a wide range of learners.