🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risks across all assessed categories except metadata, where incomplete author information and potentially inactive maintainer account raise concerns. These factors do not conclusively indicate malicious intent but warrant further scrutiny.

Incomplete author information
Potentially inactive maintainer account

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require external communications.
Shell: No shell execution detected, indicating the package does not execute system commands directly.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The maintainer's author information is incomplete, and the account seems new or inactive, raising some concerns but not conclusive evidence of malice.

🔬 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

Email domain looks legitimate: microsoft.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository microsoft/agent-framework appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author name is missing or very short
Author "" 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 agent-framework-hyperlight

Create a fully-functional mini-app that leverages the 'agent-framework-hyperlight' package to integrate Microsoft Agent Framework capabilities into a real-time chatbot system. Your app should be able to perform the following tasks:

1. **User Authentication**: Allow users to log in using their Microsoft accounts. Ensure secure authentication processes are in place.
2. **Real-Time Chat Interface**: Develop a user-friendly interface where authenticated users can start conversations with each other in real-time. Implement features like message sending, receiving, and display.
3. **Agent Integration**: Use the 'agent-framework-hyperlight' package to enable the chatbot to understand and respond to user queries. The chatbot should be capable of providing information based on predefined rules and also learn from interactions to improve responses over time.
4. **Customizable Bot Responses**: Provide an admin panel where bot responses can be customized. Admins should be able to add new answers, modify existing ones, and set up triggers for specific keywords or phrases.
5. **Analytics Dashboard**: Include a dashboard that tracks user interactions, bot performance, and common user queries. This will help in understanding user behavior and improving the chatbot’s effectiveness.
6. **Multi-Language Support**: Enable the chatbot to support multiple languages. Users should be able to switch between languages within the chat interface.
7. **Feedback Mechanism**: Implement a feedback system where users can rate the bot’s responses and provide suggestions for improvement.

**Utilization of 'agent-framework-hyperlight':** 
- Integrate the 'agent-framework-hyperlight' package to handle the backend logic for the chatbot's cognitive abilities. Use its features to manage agents, define skills, and orchestrate interactions between users and the chatbot.
- Leverage the package's code act integrations to enhance the chatbot's ability to process natural language inputs and generate contextually relevant outputs.
- Utilize the package's capabilities to monitor and manage the chatbot's performance, ensuring it operates efficiently and effectively within the application.