a2a_agentmesh

v3.7.0 safe
1.0
Low Risk

A2A protocol bridge for AgentMesh — trust-verified agent-to-agent communication via the A2A standard

🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activity with minimal risk factors identified.

  • No network calls detected
  • No shell execution patterns
  • No obfuscation or credential harvesting attempts
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires network interactions for its functionality.
  • Shell: No shell execution patterns detected, indicating the package does not execute external commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.

🔬 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 a2a_agentmesh
Create a mini-application called 'SecureAgentConnector' that leverages the 'a2a_agentmesh' package to facilitate secure, trust-verified communication between agents following the A2A protocol. This application will serve as a bridge to connect different agents, ensuring that all communications are encrypted and verified through a trust model. Here’s a detailed breakdown of what your SecureAgentConnector should achieve:

1. **Setup and Configuration**: Start by setting up a basic environment for your application. Ensure you have the 'a2a_agentmesh' package installed. Configure your application to accept two types of agents - senders and receivers.

2. **Trust Verification Model**: Implement a trust verification mechanism that allows agents to verify each other's identities before establishing a connection. This could involve exchanging digital certificates or using a predefined trust network.

3. **Communication Channels**: Utilize 'a2a_agentmesh' to establish encrypted channels between agents. Each channel should be unique and identifiable by the sender and receiver pair.

4. **Message Passing**: Develop a feature that allows agents to send and receive messages over these secure channels. Messages should be encrypted and decrypted using the 'a2a_agentmesh' package.

5. **Error Handling and Logging**: Include robust error handling and logging mechanisms to track any issues that arise during the communication process. This will help in debugging and maintaining the application.

6. **User Interface (Optional)**: For a more interactive experience, consider developing a simple UI where users can input sender and receiver details, and see real-time status updates on message passing.

7. **Testing**: Finally, thoroughly test your application to ensure that all aspects of the communication process work as expected. Test different scenarios including successful connections, failed verifications, and message transmission failures.

The 'a2a_agentmesh' package is crucial in this project as it provides the necessary tools for establishing secure, trust-verified connections between agents. It simplifies the process of implementing encryption, decryption, and trust verification, allowing developers to focus on building the application logic.

💬 Discussion Feed

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