🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has a moderate risk score due to potential new or inactive maintainer activity, which could be indicative of a supply-chain attack.

metadata risk indicating potential new or inactive maintainer
limited repository engagement

Per-check LLM notes

Network: The network call to localhost is likely for local service health checks and does not indicate malicious activity.
Shell: No shell execution patterns detected.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows signs of potential new or inactive maintainer activity with limited repository engagement.

🔬 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 agent-orchestrator-mcp

Develop a comprehensive task management system using the 'agent-orchestrator-mcp' Python package from MEOK AI Labs. This system will serve as a robust backend for managing tasks across multiple agents. Here’s a detailed plan for your project:

1. **Project Overview**: Your goal is to create a web-based task management application where users can create agents, assign tasks to these agents, and track their progress. This application will leverage the capabilities of the 'agent-orchestrator-mcp' package to manage the lifecycle of agents and tasks.

2. **Features**:
   - **Agent Management**: Users should be able to create new agents, list all existing agents, and delete agents if necessary.
   - **Task Assignment**: Once agents are created, users must be able to assign tasks to these agents. Tasks should include details like description, deadline, priority level, etc.
   - **Progress Tracking**: Implement a feature where users can view the status of each task assigned to an agent. This could include completed tasks, ongoing tasks, and pending tasks.
   - **Dashboard**: Develop a user-friendly dashboard that provides an overview of all tasks and agents.

3. **Integration with 'agent-orchestrator-mcp'**:
   - Use the 'create agent' feature of the package to onboard new agents into the system.
   - Utilize the 'list agents' functionality to display a comprehensive list of all agents on the dashboard.
   - Leverage the 'delegate task' capability to assign tasks to specific agents. Ensure that task details are saved correctly and can be retrieved later.

4. **Development Steps**:
   - Set up a Python virtual environment and install the required packages including 'agent-orchestrator-mcp'.
   - Design the database schema to store information about agents and tasks.
   - Build the backend API using Flask or Django to handle requests related to agent and task management.
   - Develop the frontend using HTML, CSS, and JavaScript (or a framework like React or Vue.js) to provide a seamless user experience.
   - Implement authentication and authorization mechanisms to ensure secure access to the application.

5. **Testing and Deployment**:
   - Write unit tests for your backend functions and integration tests for the entire application.
   - Deploy the application on a cloud platform like AWS, Google Cloud, or Heroku.

This project will not only enhance your skills in backend development and API creation but also give you hands-on experience with integrating third-party packages into your projects.