🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of network activity, shell execution, obfuscation, or credential harvesting. While the metadata suggests a potentially less active maintainer, there are no clear indications of malicious behavior.

No network calls
No shell execution
No obfuscation
No credential harvesting

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require external communication.
Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
Credentials: No credential harvesting patterns detected, indicating secure handling of secrets.
Metadata: The maintainer has only one package and lacks PyPI classifiers, suggesting low effort or a new/inactive account.

📦 Package Quality Overall: Low (4.4/10)

✦ High Test Suite 9.0

Test suite present — 3 test file(s) found

Test runner config found: conftest.py
3 test file(s) detected (e.g. conftest.py)

◈ Medium Documentation 5.0

Some documentation present

Detailed PyPI description (2484 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

57 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

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

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author "Talent AI" 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 anna-app-runtime-local

Create a simple chat application using the 'anna-app-runtime-local' package. This application will allow users to send messages to each other in real-time within a browser window. The app should utilize the WebSocket bridge provided by 'anna-app-runtime-local' to enable seamless communication between clients. Here’s how you can approach building this application:

1. **Setup Environment**: Install the necessary packages including 'anna-app-runtime-local'. Ensure your development environment is set up to support Python and web technologies.
2. **Application Structure**: Define the structure of your application. Use Flask or a similar lightweight framework for handling HTTP requests and integrating 'anna-app-runtime-local'.
3. **WebSocket Integration**: Utilize 'anna-app-runtime-local' to establish a WebSocket connection. This will serve as the backbone for real-time messaging.
4. **Frontend Development**: Develop a simple HTML/CSS/JavaScript frontend that allows users to input their messages and view messages from others in real-time. The frontend should connect to the WebSocket server and handle sending/receiving messages accordingly.
5. **Backend Logic**: Implement backend logic using 'anna-app-runtime-local' to manage message storage and broadcasting among connected clients. Use the InMemoryWindowStore to keep track of messages and ensure they are delivered to all active users.
6. **Testing**: Thoroughly test the application to ensure that messages are sent and received correctly, and that the WebSocket connection remains stable during user interactions.
7. **Deployment Considerations**: Although this project focuses on local development, consider how such an application could be deployed in a production environment, noting any adjustments needed for scalability and security.