🤖 AI Analysis

Final verdict: SAFE

The package appears safe with low risks across all categories except for a moderate obfuscation risk. This could indicate legitimate use of encoding or encryption, but further investigation into the purpose of the obfuscation would be beneficial.

Moderate obfuscation risk due to base64 decoding.
Author has only one package and lacks PyPI classifiers.

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
Shell: No shell execution patterns detected, indicating no immediate risk of command injection or unauthorized system access.
Obfuscation: The use of base64 decoding suggests some level of obfuscation, but it could also be part of legitimate data handling or encryption processes.
Credentials: No clear patterns indicative of credential harvesting were found.
Metadata: Low risk due to lack of suspicious flags, but author has only one package and lacks PyPI classifiers.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 4.0

Found 2 obfuscation pattern(s)

e try: decoded = base64.b64decode(data, validate=True) return types.Part(
try: decoded = base64.b64decode(data_value, validate=True) return types.Part(

✓ 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: contextable.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository ag-ui-protocol/ag-ui appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author "Mark Fogle" 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 ag_ui_adk

Create a fully functional mini-application using the 'ag_ui_adk' Python package that acts as a simple user interface middleware for managing a mock inventory system. This application will allow users to perform CRUD (Create, Read, Update, Delete) operations on a list of products. The application should demonstrate the core functionalities of the 'ag_ui_adk' package by integrating it seamlessly into the user interface for efficient data handling and communication between the frontend and backend systems.

### Application Features:
1. **User Interface:** Design a clean and intuitive UI using HTML/CSS for the frontend. The UI should include forms for adding new products, displaying a list of all products, and editing/deleting existing products.
2. **Product Management:** Implement functionalities to add, read, update, and delete products from a simulated database. Each product should have fields like name, description, price, and stock quantity.
3. **Data Validation:** Ensure that all inputs are validated before being processed or stored. For example, check if the price is a valid number and if the stock quantity is non-negative.
4. **Real-time Updates:** Utilize 'ag_ui_adk' to enable real-time updates in the UI whenever a product is added, updated, or deleted without needing to refresh the page.
5. **Error Handling:** Implement robust error handling to provide meaningful feedback to users in case of any issues during data manipulation.
6. **Logging:** Integrate logging capabilities to track all actions performed on the product data for auditing purposes.

### Utilization of 'ag_ui_adk':
- Use 'ag_ui_adk' to establish a connection between the frontend and backend, ensuring smooth data flow.
- Leverage 'ag_ui_adk' to handle asynchronous requests efficiently, allowing the application to remain responsive even when performing time-consuming tasks like querying large datasets.
- Employ 'ag_ui_adk' to manage state changes in the UI, updating components dynamically based on backend responses.
- Apply 'ag_ui_adk' to enhance security by encrypting sensitive data transmissions and implementing authentication mechanisms for accessing the application.