agent_mcp_governance

v3.7.0 safe
4.0
Medium Risk

Public Preview — MCP governance primitives for the Agent Governance Toolkit.

🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activity, with low risks across all assessed categories. However, the incomplete author metadata suggests caution for further verification.

  • Incomplete author information
  • Single published package by author
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communications.
  • Shell: No shell execution patterns detected, indicating the package likely does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author information is incomplete, and the author has only one published package, which may indicate a new or less active account.

🔬 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-governance-toolkit 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_mcp_governance 
Create a fully-functional mini-application named 'AgentGovernanceDashboard' that leverages the 'agent_mcp_governance' package to manage and visualize governance policies for agents in a simulated environment. This application will serve as a tool for administrators to understand, control, and monitor the behavior of multiple agents within their ecosystem. Here’s a detailed breakdown of what your application should achieve:

1. **Setup and Initialization**:
   - Install and import necessary packages including 'agent_mcp_governance'. Ensure you have the latest version of the package.
   - Initialize the application with a user-friendly interface that allows users to log in and access different sections of the dashboard.

2. **Policy Management**:
   - Implement functionality to create, edit, delete, and view governance policies using the 'agent_mcp_governance' package.
   - Policies should include rules related to data access, privacy, compliance, and operational limits.

3. **Agent Management**:
   - Allow users to register new agents, modify existing ones, and deactivate them if necessary.
   - Each agent should be associated with one or more policies based on its role and responsibilities.

4. **Monitoring and Reporting**:
   - Develop real-time monitoring capabilities to track the adherence of each agent to the applied policies.
   - Generate reports and alerts when an agent breaches a policy limit or violates a rule.

5. **Visualization Tools**:
   - Integrate visualization tools such as graphs and charts to display key metrics like policy violations, agent performance, etc.

6. **User Roles and Permissions**:
   - Define different user roles (admin, manager, viewer) with varying levels of access to the dashboard functionalities.
   - Enforce role-based access control to ensure that only authorized users can perform certain actions.

7. **Testing and Validation**:
   - Write comprehensive tests to validate the correctness and robustness of your application.
   - Include unit tests for critical functions and integration tests to ensure all components work together seamlessly.

8. **Documentation**:
   - Provide clear documentation on how to install, configure, and use the 'AgentGovernanceDashboard'.
   - Document any assumptions made during development and potential limitations of the current implementation.