🤖 AI Analysis

Final verdict: SAFE

The package appears safe with no detected malicious activities. However, the unknown author and minimal repository activity raise some concerns.

Network calls to localhost
Unknown author and minimal repository activity

Per-check LLM notes

Network: The package makes a network call to localhost, which is likely for internal health checks and not indicative of malicious activity.
Shell: No shell execution patterns were detected, indicating low risk.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows some red flags with an unknown author and minimal repository activity, but no clear evidence of typosquatting or other malicious intent.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

try: resp = urllib.request.urlopen("http://localhost:8000/health", timeout=2)

✓ 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: meok.ai>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks

⚠ 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 a2a-governance-bridge-mcp

Create a mini-application named 'TrustRegistryInspector' using Python, which leverages the 'a2a-governance-bridge-mcp' package from MEOK AI Labs. This application will serve as a tool for administrators to manage and inspect agents within a trust registry system. Here’s a detailed breakdown of the application's requirements and functionalities:

1. **Agent Compliance Verification**: Implement a feature that allows users to input an agent ID and check if the agent complies with the governance rules defined in the trust registry.
2. **Transaction Authorization**: Develop a module where users can initiate an authorization request for a specific agent-to-agent (A2A) transaction. The application should then communicate with the MCP server to process the request and return the result.
3. **Trust Registry Management**: Provide a user-friendly interface for viewing and managing the trust registry. Users should be able to see the current state of the trust registry, including registered agents and their statuses.
4. **Logging and Notifications**: Integrate logging capabilities to track all actions performed within the application. Additionally, implement a notification system to alert users about important events such as compliance failures or transaction authorizations.
5. **Security Measures**: Ensure the application includes basic security measures like authentication for accessing the management interface and encryption for sensitive data.

To achieve these functionalities, utilize the 'a2a-governance-bridge-mcp' package as follows:
- For agent compliance verification, use the 'verify_agent_compliance()' method provided by the package.
- To authorize A2A transactions, employ the 'authorize_a2a_transaction()' function.
- Access the trust registry data through the 'get_trust_registry()' method to display and manage the registry.

The application should be designed to be modular and scalable, allowing for easy updates and extensions in the future.