🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows some red flags, particularly regarding the execution of shell commands for retrieving passwords, which could indicate potential unauthorized access or credential harvesting. However, there are no clear signs of malicious intent beyond this.

Shell risk due to executing commands to retrieve passwords
Low effort in metadata and maintainer history

Per-check LLM notes

Network: No network calls detected, which is not necessarily suspicious.
Shell: Executing shell commands to retrieve passwords suggests potential unauthorized access attempts or credential harvesting.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
Credentials: No credential harvesting patterns detected, suggesting secure handling of sensitive information.
Metadata: The package shows low effort in metadata and maintainer history, but lacks clear indicators of malicious intent.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

conn_dict["password"] = subprocess.check_output( [ "az",

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: rio.st>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository rioriost/age_mcp_server appears legitimate

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Author name is missing or very short
Author "" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with age_mcp_server

Develop a social networking platform focused on connecting individuals based on their age groups. This platform, named 'AgeConnect', will utilize the 'age_mcp_server' package to manage connections between users efficiently. Here's a detailed breakdown of the steps and features required for the project:

1. **Setup Environment**: Begin by setting up your development environment. Install Python and the necessary libraries including 'age_mcp_server'. Ensure you have PostgreSQL installed as well, since 'age_mcp_server' works closely with it.

2. **Database Configuration**: Configure the database using 'age_mcp_server'. This involves setting up the MCP server to handle graph queries effectively, which will be crucial for managing connections and relationships between users.

3. **User Registration and Authentication**: Implement user registration and login functionalities. Users should be able to create accounts specifying their age group, name, and other relevant details.

4. **Friendship Requests**: Allow users to send friendship requests to others within their specified age range. Utilize 'age_mcp_server' to manage these connections in a graph structure, making it easy to query and update friendships.

5. **News Feed**: Develop a news feed feature where users can see updates from friends in their network. Use 'age_mcp_server' to fetch and display posts from connected users.

6. **Event Management**: Enable users to create events and invite friends within their age group. Use 'age_mcp_server' to manage event attendance lists and notifications.

7. **Profile Management**: Provide users with tools to manage their profiles, including updating personal information and privacy settings.

8. **Search Functionality**: Implement a search feature that allows users to find other members based on age, interests, and location. Leverage 'age_mcp_server' to enhance search efficiency through graph traversal.

9. **Notifications**: Set up a notification system for new friend requests, event invitations, and messages. Use 'age_mcp_server' to keep track of user interactions and generate real-time notifications.

10. **Testing and Deployment**: Finally, thoroughly test all features to ensure they work seamlessly. Deploy the application using a cloud service provider like AWS or Heroku, ensuring that 'age_mcp_server' is correctly configured in the production environment.

This project not only leverages 'age_mcp_server' for its powerful graph database capabilities but also creates a unique social networking experience centered around age-based connections.