signal-detector

Captures and logs inbound ambient signals for automated testing and message monitoring.

Updated Jun 2, 2026
One-click install
npx skills add https://github.com/Ninatuzi/gbrain --skill signal-detector-ninatuzi
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: signal-detector
Source: https://github.com/Ninatuzi/gbrain/tree/main/test/fixtures/openclaw-reference-minimal/skills/signal-detector
Command: npx skills add https://github.com/Ninatuzi/gbrain --skill signal-detector-ninatuzi

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill addresses the need for continuous, automated monitoring of inbound communication channels to ensure no critical signals are missed by the agent.

Core Features & Use Cases

  • Ambient Capture: Operates in the background to detect and log incoming messages or signals.
  • Fixture Integration: Specifically designed to support end-to-end testing and validation of the OpenClaw reference architecture.
  • Use Case: Use this skill during system integration testing to verify that the agent correctly registers and responds to inbound message triggers in a controlled environment.

Quick Start

Activate the signal-detector skill to begin monitoring all incoming message streams for the current session.

Frequently Asked Questions about signal-detector

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate testing for inbound message monitoring?

Automated testing for inbound message monitoring is handled by capturing and logging ambient signals in a configured test environment to validate agent communication protocols and end-to-end system integration workflows.

What is ambient signal capture in system integration testing?

Ambient signal capture is a continuous background monitoring process that detects and logs incoming messages or signals to ensure no critical triggers are missed during end-to-end validation of agent communication.

Do I need a configured test environment to intercept message events?

Yes, a configured test environment is required to intercept and process incoming message events, enabling the signal-detector to correctly register and log inbound communication triggers for validation.

Can I use this for end-to-end validation of agent communication protocols?

Yes, it is specifically designed to support end-to-end testing and validation of the OpenClaw reference architecture, verifying that the agent correctly registers and responds to inbound message triggers.

How do I start monitoring inbound communication channels for a session?

To start monitoring inbound communication channels, activate the signal-detector skill to begin operating in the background, detecting and logging all incoming message streams for the current session.

What is the best way to verify an agent responds to inbound message triggers?

The best way to verify an agent responds to inbound message triggers is to use ambient signal capture during system integration testing, logging inbound events to confirm the agent correctly registers and responds.