🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits a moderate level of suspicion due to unclear documentation and a potentially inactive maintainer, despite showing no signs of malicious activity such as obfuscation, credential theft, or shell execution.

Moderate network risk due to unclear package functionality
Metadata risk due to a potentially inactive maintainer

Per-check LLM notes

Network: The observed network calls are typical for packages that require internet connectivity to function, but the lack of clear documentation or purpose raises some suspicion.
Shell: No shell execution patterns were detected.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The maintainer has a new or inactive account and lacks a proper author name, which could indicate potential issues.

📦 Package Quality Overall: Medium (5.0/10)

○ Low Test Suite 1.0

No test suite detected

No test files or test-runner configuration detected

◈ Medium Documentation 7.0

Some documentation present

Documentation URL: "Documentation" -> https://docs.agentoven.dev
Detailed PyPI description (982 chars)

○ Low Contributing Guide 2.0

No contributing guide or governance files found

No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found

◈ Medium Type Annotations 5.0

Partial type annotation coverage

71 type-annotated function signatures detected in source

✦ High Multiple Contributors 10.0

Active multi-contributor project

5 unique contributor(s) across 54 commits in agentoven/agentoven
Active community — 5 or more distinct contributors

🔬 Heuristic Checks

⚠ Outbound Network Calls score 4.5

Found 3 network call pattern(s)

None else None req = urllib.request.Request(url, data=data, headers=self._headers(), method=meth
try: with urllib.request.urlopen(req) as resp: raw = resp.read()
}" resp = httpx.post(ep, json=kwargs, headers=headers, timeout=30)

✓ 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

Repository agentoven/agentoven 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 agentoven

Create a Python-based mini-application called 'AgentOrchestrator' that leverages the capabilities of the 'agentoven' package to manage and orchestrate agents within an enterprise environment. This application will serve as a command-line tool for deploying, monitoring, and managing various types of agents across different environments. Here’s a detailed breakdown of what your application should accomplish:

1. **Deployment**: The user should be able to deploy new agents using configuration files. These configurations could include details like agent type, deployment environment (e.g., production, staging), and specific settings required for the agent to function.
2. **Monitoring**: Once deployed, users need to monitor the status of these agents. Your application should provide real-time updates on the health and performance metrics of each agent, including CPU usage, memory consumption, and network activity.
3. **Management**: Implement functionalities for updating, restarting, and stopping agents. Additionally, support for rolling back to previous versions of an agent should also be included.
4. **Logging**: Integrate logging mechanisms so that all actions performed through the application are recorded. This includes deployment logs, status updates, and any errors encountered during execution.
5. **Security**: Ensure that the application handles sensitive information securely, such as API keys or authentication tokens, used to communicate with the agents.

The 'agentoven' package will be crucial in achieving these goals. Specifically, it will be used to:
- Connect to the enterprise's agent management system.
- Deploy agents based on provided configurations.
- Retrieve and display live status updates from the agents.
- Execute commands for updating, restarting, and stopping agents.
- Manage logging and security protocols.

Your task is to design and implement the 'AgentOrchestrator' application, ensuring it adheres to best practices in software development, including clean code structure, thorough documentation, and robust testing.