🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has low risks in terms of network usage, shell execution, and obfuscation. However, the presence of a suspicious non-HTTPS link and a new maintainer account raises concerns about potential supply-chain attacks.

Suspicious non-HTTPS link in installation instructions
New maintainer account

Per-check LLM notes

Network: No network calls detected, which is normal unless the package's functionality requires external API interactions.
Shell: No shell execution detected, indicating the package does not execute system commands directly.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: Suspicious non-HTTPS link and new maintainer account indicate potential risk.

📦 Package Quality Overall: Low (3.8/10)

○ Low Test Suite 1.0

No test suite detected

No test files or test-runner configuration detected

◈ Medium Documentation 5.0

Some documentation present

Detailed PyPI description (15844 chars)

○ Low Contributing Guide 2.0

No contributing guide or governance files found

No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found

○ Low Type Annotations 1.0

No type annotations detected

No type annotations, py.typed marker, or stub files detected

✦ High Multiple Contributors 10.0

Active multi-contributor project

25 unique contributor(s) across 100 commits in kenn-io/agentsview
Active community — 5 or more distinct contributors

🔬 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 score 2.0

Found 1 suspicious link(s) on the package page

Non-HTTPS external link: http://127.0.0.1:18080

✓ Git Repository History

Repository kenn-io/agentsview appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Kenn Software LLC" 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 agentsview

Create a real-time monitoring tool for AI agent sessions using the 'agentsview' package. This tool will allow developers to visualize and interact with AI agent sessions in a local web environment, enhancing debugging and analysis capabilities. The application should include the following features:

1. **Session Visualization**: Display the current state of AI agent sessions in a user-friendly web interface. Users should be able to see session logs, actions taken by the agents, and any relevant data.
2. **Real-Time Updates**: Ensure that the web interface updates in real-time as new information from the AI agent sessions becomes available.
3. **Customizable Views**: Allow users to customize the view according to their needs. For example, they could choose to display only certain types of logs or focus on specific agent actions.
4. **Interactive Controls**: Provide controls within the web interface to start, pause, and stop agent sessions. Additionally, users should be able to send commands or queries to the agents directly from the interface.
5. **Error Logging and Alerts**: Implement error logging and alert mechanisms to notify users when issues arise during agent sessions.
6. **User Authentication**: Integrate basic user authentication to restrict access to authorized personnel only.

To utilize the 'agentsview' package, you'll need to first install it via pip. Then, set up a Flask or Django backend to handle requests and integrate 'agentsview' into your application. Use the package's documentation to understand how to connect it to your AI agent sessions and how to configure the web viewer. Your goal is to create a seamless experience where developers can easily monitor and manage their AI agent sessions without leaving the browser.