🤖 AI Analysis

Final verdict: SUSPICIOUS

The package appears to be functional based on its description and features, but the metadata risk due to the author's limited package history warrants further investigation.

Low network and shell risks
Author has only one package, raising suspicion about potential supply-chain risks

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 signs of executing system commands.
Metadata: The author has only one package, which may indicate a new or less active account, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Medium (6.2/10)

✦ High Test Suite 9.0

Test suite present — 1 test file(s) found

Test runner config found: pyproject.toml
1 test file(s) detected (e.g. test_mcp_proxy.py)

◈ Medium Documentation 5.0

Some documentation present

Detailed PyPI description (934 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

9 type-annotated function signatures (partial)

✦ High Multiple Contributors 10.0

Active multi-contributor project

14 unique contributor(s) across 100 commits in microsoft/agent-governance-toolkit
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 microsoft/agent-governance-toolkit appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Microsoft Corporation" 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 agentmesh_mcp_proxy

Create a secure messaging application using Python that leverages the 'agentmesh_mcp_proxy' package for trust verification. This application, named 'SecureChat', should allow users to send encrypted messages to each other while ensuring the identity of the sender is verified through AgentMesh's trust verification mechanisms. Here’s a detailed plan on how to approach this project:

1. **Setup Environment**: Ensure you have Python installed and set up a virtual environment. Install the necessary packages including 'agentmesh_mcp_proxy'.
2. **User Authentication**: Implement user registration and login functionalities. Each user should be able to register with a unique username and password.
3. **Message Encryption**: Messages sent between users should be encrypted before being transmitted. Use a standard encryption protocol such as AES.
4. **Trust Verification with AgentMesh**: Utilize 'agentmesh_mcp_proxy' to wrap your messaging service with trust verification. This ensures that only verified users can communicate within the app.
5. **Real-Time Communication**: Implement real-time communication using WebSockets to allow immediate message transmission between users.
6. **UI/UX Design**: Develop a simple yet effective user interface using a framework like Flask or Django for backend services and React or Vue.js for frontend development.
7. **Testing**: Thoroughly test the application for security vulnerabilities and ensure that the trust verification process works seamlessly.
8. **Documentation**: Provide comprehensive documentation on how to install, use, and contribute to SecureChat.

**Suggested Features**:
- Multi-platform support (Web, Mobile)
- Group chat functionality
- File sharing capabilities
- Customizable user profiles

By following these steps and utilizing 'agentmesh_mcp_proxy', you will create a robust and secure messaging platform.