🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risk in terms of network calls, shell execution, obfuscation, and credential harvesting. However, the metadata risk score is elevated due to incomplete author information and a single package from the maintainer, raising suspicion.

Incomplete author information
Single package from maintainer

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require internet access.
Shell: No shell execution detected, which is expected unless the package requires 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 maintainer has a single package, which may indicate a less experienced or potentially suspicious 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: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository aegra/aegra 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 aegra-api

Create a fully functional mini-application that leverages the 'aegra-api' package to manage and interact with self-hosted agents in a network environment. This application will serve as a simple yet powerful tool for deploying, monitoring, and managing agent tasks across various nodes within your network infrastructure.

### Project Overview:
- **Name:** AgentNet Manager
- **Goal:** Develop an intuitive interface for deploying and managing agents using the 'aegra-api'. The application should allow users to create, start, stop, and monitor agents on different nodes.

### Key Features:
1. **Agent Deployment:** Users should be able to deploy new agents on specified nodes with customizable configurations.
2. **Task Management:** Implement functionality for assigning and tracking tasks for each agent.
3. **Status Monitoring:** Provide real-time status updates of all agents, including their current task status and health metrics.
4. **Node Discovery:** Automatically discover available nodes in the network and display them in the UI.
5. **User Interface:** Design a clean and user-friendly web-based interface for interacting with the application.
6. **Logging & Alerts:** Implement logging for all actions performed through the application and set up alert notifications for critical events.

### Utilizing 'aegra-api':
- Use the 'aegra-api' to handle all interactions with the agents. This includes deployment, task assignment, status retrieval, etc.
- Ensure that the API calls are well-integrated into the backend logic of the application.
- Leverage any additional functionalities provided by the 'aegra-api' to enhance the application's capabilities.

### Steps to Build the Application:
1. **Setup Environment:** Begin by setting up your development environment with Python, Flask/Django for the backend, and React/Vue.js for the frontend.
2. **Integrate 'aegra-api':** Install and integrate the 'aegra-api' into your backend to enable communication with the agents.
3. **Develop Backend Logic:** Write backend functions that utilize the 'aegra-api' to manage agent operations.
4. **Design Frontend Interface:** Create a user-friendly interface where users can perform actions such as deploying agents, assigning tasks, and viewing statuses.
5. **Testing & Debugging:** Thoroughly test the application to ensure all features work as expected and debug any issues encountered.
6. **Deployment:** Once tested, deploy the application to a production environment.

### Additional Considerations:
- Ensure security measures are in place to protect sensitive data and prevent unauthorized access.
- Document the codebase and provide instructions for setting up and using the application.
- Plan for scalability and future enhancements.