AI Analysis
The package appears safe with low risks across network and shell execution. The metadata risk slightly increases due to the maintainer's limited package history, but there is no evidence of a supply-chain attack.
- Low network and shell risk
- Maintainer has only one other package
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external communication.
- Shell: No shell execution detected, indicating no immediate risk of command injection or system exploitation.
- Metadata: The maintainer has only one package, indicating a potentially new or less active account.
Package Quality Overall: Low (3.8/10)
Partial test coverage signals detected
Test runner config found: pyproject.toml
Some documentation present
Detailed PyPI description (1449 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
34 type-annotated function signatures detected in source
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: gmail.com>
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
1 maintainer concern(s) found
Author "Elias Benbourenane" 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 fully-functional mini-application called 'EmbyAnimeCatalog' using the 'anibridge-emby-provider' package. This application aims to simplify the process of managing anime content within Emby media server, offering users a streamlined way to discover, organize, and manage their anime library. ### Key Features: 1. **User Authentication:** Implement a simple login system to authenticate users against their Emby server credentials. 2. **Library Syncing:** Allow users to sync their anime library from AniBridge to their Emby server, ensuring all titles, seasons, episodes, and metadata are accurately reflected. 3. **Metadata Fetching:** Utilize the 'anibridge-emby-provider' package to fetch metadata (such as title, episode count, synopsis, images) for each anime entry. 4. **Custom Filters & Sorting:** Enable users to filter and sort their anime library based on various criteria such as genre, year, popularity, and user ratings. 5. **Notifications & Updates:** Provide real-time notifications for new anime releases and updates to existing entries in the library. 6. **User Interface:** Design a clean and intuitive UI using Flask for the backend and Bootstrap for the frontend, ensuring a seamless user experience. 7. **API Documentation:** Generate comprehensive API documentation detailing endpoints for syncing, fetching metadata, and custom filters. ### Implementation Steps: 1. Set up a Flask application and integrate the 'anibridge-emby-provider' package for handling interactions with both AniBridge and Emby servers. 2. Develop a secure authentication system allowing users to log in with their Emby server credentials. 3. Create endpoints for syncing anime libraries from AniBridge to Emby, utilizing the 'anibridge-emby-provider' for data transfer. 4. Implement functions to fetch and display metadata for anime entries, ensuring rich details like images and descriptions are included. 5. Build out filtering and sorting functionalities, allowing users to customize their view of the anime library. 6. Integrate real-time notification capabilities for new releases and updates, enhancing user engagement. 7. Design and implement a user-friendly interface using Bootstrap, ensuring easy navigation and interaction with the app's features. 8. Document all APIs and provide clear instructions on how to use them, along with examples. 9. Test the application thoroughly, focusing on data accuracy, performance, and user experience. 10. Deploy the application on a cloud platform like Heroku or AWS, making it accessible to end-users.
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