agent-easy-framework

v0.0.5 suspicious
4.0
Medium Risk

Enterprise golden-path framework for scaffolding MCP-first agent servers in Python.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has low risks in terms of network, shell execution, obfuscation, and credential handling. However, the metadata risk score suggests low maintainer activity and poor metadata quality, making it suspicious.

  • Low maintainer activity
  • Poor metadata quality
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communication.
  • Shell: No shell execution patterns detected, indicating the package likely does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, indicating secure handling of secrets.
  • Metadata: The package shows signs of low maintainer activity and metadata quality, raising some suspicion but not conclusive evidence of malice.

🔬 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

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ 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 agent-easy-framework 
Develop a fully-functional mini-application named 'MCP-Agent-Manager' using the 'agent-easy-framework' Python package. This application will serve as a management tool for agents running on a Multi-Cloud Platform (MCP). The goal of this project is to demonstrate how 'agent-easy-framework' simplifies the process of setting up and managing agent servers, which are crucial for various enterprise applications such as monitoring, data collection, and automation.

#### Project Scope:
1. **Agent Registration:** Users should be able to register new agents into the system by providing necessary credentials and details such as IP address, port, and agent type.
2. **Status Monitoring:** Implement a feature that allows users to monitor the status of registered agents, including their online/offline state and last seen time.
3. **Command Execution:** Enable the functionality for users to send commands to specific agents. These commands could include starting/stopping services, executing scripts, etc.
4. **Data Collection:** Agents should periodically report back to the server with performance metrics and other relevant data. The server should store this information and provide a dashboard for visualization.
5. **Security Measures:** Ensure that all communications between agents and the server are secure. Use encryption for data transmission and implement authentication mechanisms.
6. **Scalability:** Design the application to support multiple instances of the server and a large number of agents, showcasing the scalability provided by 'agent-easy-framework'.

#### Utilization of 'agent-easy-framework':
- **Scaffolding Agent Servers:** Use 'agent-easy-framework' to quickly scaffold the agent server infrastructure, ensuring that the setup is optimized for MCP environments.
- **Golden Path Implementation:** Apply the golden path principles of 'agent-easy-framework' to streamline the development process, focusing on common use cases while allowing for customization.
- **Integration with MCP Services:** Leverage 'agent-easy-framework's capabilities to easily integrate with MCP-specific services and APIs for enhanced functionality.
- **Monitoring and Management:** Take advantage of the built-in monitoring and management tools provided by 'agent-easy-framework' to keep track of agent performance and health.

#### Deliverables:
- A fully functional 'MCP-Agent-Manager' application.
- Detailed documentation explaining how each feature was implemented using 'agent-easy-framework'.
- A demonstration video showcasing the application's key functionalities.