🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has low individual risks but shows signs of low effort and lacks maintainer information, raising suspicion about its legitimacy.

Low metadata quality
Lack of maintainer information

Per-check LLM notes

Network: No network calls suggest normal behavior for a UI package.
Shell: No shell executions suggest the package is not attempting to run arbitrary commands.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows signs of low effort and could be suspicious due to the lack of maintainer information and history.

📦 Package Quality Overall: Low (4.6/10)

○ Low Test Suite 1.0

No test suite detected

No test files or test-runner configuration detected

◈ Medium Documentation 5.0

Some documentation present

Documentation URL: "Documentation" -> https://thalesgroup.github.io/agilab

○ 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

7 type-annotated function signatures (partial)

✦ High Multiple Contributors 10.0

Active multi-contributor project

5 unique contributor(s) across 69 commits in ThalesGroup/agilab
Active community — 5 or more distinct contributors

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ 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

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository ThalesGroup/agilab appears legitimate

⚠ Maintainer History score 8.0

4 maintainer concern(s) found

Only one version has ever been released — brand new package
Author name is missing or very short
Author "" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with agi-page-app-ui

Create a fully functional mini-application using the 'agi-page-app-ui' package, which is designed for building Streamlit-based UIs owned by apps. Your task is to develop a simple yet powerful tool for managing a personal library of books. This application should allow users to add new books, delete existing ones, and search for specific titles or authors. Additionally, include a feature to mark books as read or unread. Here’s a step-by-step guide on how to proceed:

1. **Setup Environment**: Ensure you have Python installed along with pip. Install necessary packages including 'agi-page-app-ui' and any other dependencies required for your application.
2. **Application Structure**: Organize your project into logical directories and files. For example, separate code for handling data, UI components, and main application logic.
3. **Data Management**: Decide on a method for storing book information. You could use a simple CSV file, SQLite database, or even a more complex setup like PostgreSQL if preferred. Implement functions to add, delete, update, and retrieve book records.
4. **UI Development**: Use 'agi-page-app-ui' to create a user-friendly interface. Design screens for adding new books (with fields for title, author, genre, etc.), viewing all books, searching books by title or author, and marking books as read/unread.
5. **Interactive Features**: Enhance usability with interactive elements such as dropdown menus for selecting genres, checkboxes for marking books as read/unread, and buttons for performing actions like add, delete, and search.
6. **Testing**: Thoroughly test each feature to ensure they work as expected. Pay special attention to edge cases, such as attempting to delete a book that doesn’t exist or searching for a non-existent title.
7. **Documentation**: Write clear documentation explaining how to run your application, including setting up the environment and running the Streamlit server.
8. **Deployment**: Consider deploying your application so others can easily access it. Streamlit makes deployment straightforward, but also look into cloud services for broader accessibility.

By following these steps, you will have created a practical, user-friendly application that showcases the capabilities of 'agi-page-app-ui'.