🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risks in terms of network, shell, obfuscation, and credential harvesting activities. However, the lack of maintainer information and an inactive repository increase the suspicion level.

Minimal maintainer information
Inactive repository

Per-check LLM notes

Network: The network call to localhost suggests internal health checks, which is generally benign but could indicate unexpected behavior if the package is not intended for local use.
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 has minimal maintainer information and an inactive repository, raising concerns about its legitimacy.

🔬 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-delegation-mcp

Create a task management system using the 'agent-delegation-mcp' Python package. This system will allow users to efficiently manage tasks across multiple agents, ensuring smooth delegation and tracking of task statuses. The application should include the following core functionalities:

1. **User Authentication**: Implement basic user authentication to ensure only authorized users can create, delegate, and track tasks.
2. **Task Creation**: Users should be able to create new tasks by providing a unique identifier, description, and priority level.
3. **Task Delegation**: Once a task is created, it can be delegated to one or more agents based on their availability and expertise.
4. **Task Status Tracking**: Provide a feature to check the current status of any task, whether it's pending, in progress, completed, or failed.
5. **Notifications**: Send notifications to users when a task is assigned to them or when its status changes.
6. **Analytics Dashboard**: Offer a simple dashboard displaying key metrics such as total tasks, completed tasks, average time to completion, etc.

To achieve these functionalities, you will heavily utilize the 'agent-delegation-mcp' package. Specifically, use its 'create task', 'delegate task', and 'get task status' tools to handle task creation, delegation, and status retrieval respectively. Additionally, consider integrating Flask or Django for the web framework, SQLAlchemy for database operations, and Celery for background task processing to enhance the application's scalability and performance.