🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risks across various categories and is primarily focused on client-side Unix-domain-socket communication, which does not inherently pose significant threats.

Low network and shell execution risks.
No signs of obfuscation or credential harvesting.

Per-check LLM notes

Network: Network calls suggest the package may be designed to communicate with external services, which could be legitimate but requires further investigation into its purpose and permissions.
Shell: No shell execution patterns detected, indicating a low risk of direct system command execution.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
Credentials: No credential harvesting patterns detected, indicating low risk of secret theft.
Metadata: The maintainer has only one package, which may indicate a new or less active account, raising some suspicion but not conclusive evidence of malice.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

ort(uds=str(path)) return httpx.Client(transport=transport, base_url=BASE_URL, timeout=timeout) d
ort(uds=str(path)) return httpx.AsyncClient(transport=transport, base_url=BASE_URL, timeout=timeout) ""

✓ 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 SpillwaveSolutions/agent-brain appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Spillwave Solutions" 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 agent-brain-uds

Create a mini-application called 'SocketChat' that allows users to send messages between two instances of the app using Unix domain sockets, leveraging the 'agent-brain-uds' package. This application will serve as a basic chat interface where one instance acts as the server and another as the client. Here’s a detailed breakdown of what your project should include:

1. **Setup**: Begin by installing the 'agent-brain-uds' package and setting up a virtual environment for your Python project.
2. **Server Implementation**: Develop a simple server that listens on a specified Unix domain socket path and waits for incoming connections. Use the 'agent-brain-uds' package to handle socket path resolution and permission validation securely.
3. **Client Implementation**: Create a client that connects to the server via the same Unix domain socket path. Ensure that the connection is established through the 'agent-brain-uds' package's HTTPX UDS client factory.
4. **Message Handling**: Implement functionality to send and receive messages between the server and client. Each message should be prefixed with the sender's username for clarity.
5. **Security Enhancements**: Utilize the permission validation feature of 'agent-brain-uds' to ensure only authorized clients can connect to the server.
6. **Logging and Debugging**: Add logging capabilities to both the server and client to track events like successful connections, message exchanges, and any errors encountered.
7. **User Interface**: For simplicity, use command-line interfaces for both the server and client. However, consider adding a basic text-based user interface that displays incoming messages and prompts for outgoing ones.
8. **Testing and Validation**: Test the application thoroughly to ensure it works correctly under various conditions, including multiple clients connecting simultaneously and handling disconnections gracefully.
9. **Documentation**: Write clear documentation explaining how to set up and run 'SocketChat', including details about using the 'agent-brain-uds' package effectively.

Your goal is to create a functional, secure, and user-friendly chat application that showcases the capabilities of the 'agent-brain-uds' package in managing Unix domain socket communications.