Verified:GitHub

bridge-twin

Send signed JSONL messages between Buck and Hermes via webhooks.

Updated May 21, 2026

Search Tags:#webhook #automation tooling #hmac #inter-ai communication #jsonl bridge #message orchestration #docker-agnostic

Ready to run

npx skills add https://github.com/wahajahmed010/openclaw-skills --skill bridge-twin

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: bridge-twin
Source: https://github.com/wahajahmed010/openclaw-skills/tree/main/skills/bridge-twin
Command: npx skills add https://github.com/wahajahmed010/openclaw-skills --skill bridge-twin

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill solves the problem of unreliable or slow inter-AI messaging by providing a secure, webhook-first JSONL bridge between Buck and Hermes (Brian).

Core Features & Use Cases

Send messages to Hermes (Brian): Use signed webhook push with automatic fallback to SSH-triggered inbox reads to ensure delivery.
Read and process incoming messages: Retrieve unread JSONL messages from Hermes into Buck’s inbox with optional JSON output or mark-as-read behavior.
Test bridge connectivity and health: Verify webhook reachability and endpoint health to troubleshoot connectivity and signature mismatches.

Quick Start

Ask the agent to send Hermes a query by writing the JSON message to Hermes via the webhook bridge:

python3 ~/.openclaw/workspace/scripts/bridge_write_hermes.py --type query --payload '{"text":"Hey Brian - status check?"}'

Frequently Asked Questions about bridge-twin

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

FAQPage Schema

How do I send secure webhook notifications between AI agents using HMAC signing?▼

You can send secure webhook notifications between AI agents by writing JSONL inbox messages and pushing HMAC-SHA256 signed webhooks. This inter-AI messaging bridge uses webhook-first delivery with SSH-triggered fallback reads to ensure reliable message orchestration.

What is JSONL message sequencing for inter-AI communication?▼

JSONL message sequencing is the process of writing structured line-delimited JSON inbox files to orchestrate command, query, and response communication between AI agents. It ensures messages are retrieved sequentially and supports mark-as-read behavior for tracking unread message states.

How do I test webhook connectivity and endpoint health for automated message orchestration?▼

You can test webhook connectivity and endpoint health by triggering a health check that verifies webhook reachability and validates HMAC-SHA256 signatures. This troubleshooting step identifies connectivity failures and signature mismatches before sending full query payloads.

Does inter-AI messaging require Docker, or are there docker-agnostic automation tools available?▼

Inter-AI messaging does not require Docker because this automation tooling is docker-agnostic. It relies on JSONL inbox files, HMAC-SHA256 webhook signatures, and SSH-triggered reads to orchestrate message delivery independently of containerized environments.

Why does my webhook bridge fail to deliver messages when the receiver endpoint is unreachable?▼

A webhook bridge fails to deliver messages when endpoint health checks detect reachability issues or HMAC signature mismatches. In these cases, the bridge applies fallback behavior through SSH-triggered inbox reads to retrieve unread JSONL messages and ensure delivery.

Can I use webhook automation tooling to retrieve unread JSONL messages with optional JSON output?▼

Yes, webhook automation tooling can retrieve unread JSONL messages from an inbox file while providing optional JSON output or mark-as-read behavior. This allows you to process incoming queries and responses securely between AI agents.