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Openclaw Relay

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steipete
openclaw-relay

OpenClaw session relay: prompts/posts via local/remote acpx over SSH.

Overview

Publishersteipete
Repositoryagent-scripts
Skill nameopenclaw-relay
Stars
6.6K
Forks
547
Bundled files
3
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by steipete on GitHub. Read the source before you install it.

Installation

Install the Openclaw Relay AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/steipete/agent-scripts.git /tmp/agent-scripts
mkdir -p .claude/skills
cp -r /tmp/agent-scripts/skills/openclaw-relay .claude/skills/openclaw-relay
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Openclaw Relay in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Openclaw Relay on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Openclaw Relay is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

OpenClaw Relay

Use this when the job is:

  • "talk to Molty"
  • "relay this into an OpenClaw channel session"
  • "use acpx"
  • "send this through the gateway via acp"
  • "work through a remote OpenClaw bridge over SSH"

One skill. Two transports:

  1. local
  2. ssh

Default to local for direct telephone-game work from the current OpenClaw checkout. Use ssh when the target agent/session lives on another machine.

For Peter's setup, Molty normally lives on the Mac Studio gateway, reached as steipete@steipete-macstudio.local; avoid the mac-studio SSH alias for one-shot relay work because that alias auto-attaches tmux.

Script path: scripts/openclaw_relay.py

Target aliases file: config/session_aliases.json

Mode Selection

Choose local when:

  • the user explicitly says acpx
  • the target session is on the current machine
  • the goal is quick relay or private ask

Choose ssh when:

  • the target agent/session lives on another host
  • you want a persistent bridge session
  • you need async queue/wait/show flows on a remote machine

Defaults

The script avoids baked-in personal paths. Override with env or flags when needed.

  • transport: local
  • local repo cwd: current working directory
  • local acpx repo: <cwd>/extensions/acpx
  • ssh host: steipete@steipete-macstudio.local
  • remote repo cwd: <remote-home>/clawdbot
  • remote acpx repo: <remote-home>/Projects/oss/acpx
  • gateway token file: <home>/.openclaw/gateway.token
  • control session name: codex-bridge
  • target aliases file: config/session_aliases.json

Useful env vars:

  • OPENCLAW_RELAY_TRANSPORT
  • OPENCLAW_RELAY_HOST
  • OPENCLAW_RELAY_CWD
  • OPENCLAW_RELAY_ACPX_REPO
  • OPENCLAW_RELAY_GATEWAY_URL
  • OPENCLAW_RELAY_GATEWAY_TOKEN_FILE
  • OPENCLAW_RELAY_SESSION
  • OPENCLAW_RELAY_TARGETS_FILE

Quick Start

Health check:

bash
python3 scripts/openclaw_relay.py doctor

List known target aliases:

bash
python3 scripts/openclaw_relay.py targets

Resolve a target alias:

bash
python3 scripts/openclaw_relay.py resolve --target maintainers

Ask a target session a question privately:

bash
python3 scripts/openclaw_relay.py ask \
  --target maintainers \
  --message "Summarize the current vibe in this channel."

Force-send text to the resolved target:

bash
python3 scripts/openclaw_relay.py force-send \
  --target maintainers \
  --text "Deploy is done."

For multiline posts, use --text-file <path> or --text-file - instead of shell-quoting the message.

Force-send media when the user explicitly wants a channel post:

bash
python3 scripts/openclaw_relay.py force-send \
  --transport ssh \
  --host steipete@steipete-macstudio.local \
  --target maintainers \
  --text "Demo video." \
  --media /tmp/demo.mp4

Use the persistent control session:

bash
python3 scripts/openclaw_relay.py ensure
python3 scripts/openclaw_relay.py send --message "Reply with exactly OK."
python3 scripts/openclaw_relay.py show

Remote host example:

bash
python3 scripts/openclaw_relay.py doctor --transport ssh --host steipete@steipete-macstudio.local
python3 scripts/openclaw_relay.py send \
  --transport ssh \
  --host steipete@steipete-macstudio.local \
  --message "Reply with exactly OK."

Async Workflow

Queue work and poll the same control session:

bash
python3 scripts/openclaw_relay.py start --message "Work on X and reply when done."
python3 scripts/openclaw_relay.py wait --after-seq <last-seq>
python3 scripts/openclaw_relay.py show

Target Aliases

config/session_aliases.json ships with placeholders. Replace them with real values for your setup.

Example shape:

json
{
  "main": "agent:<agentId>:main",
  "maintainers": "agent:<agentId>:discord:channel:<channelId>"
}

Session Rules

Use these rules when choosing a command:

  • Want a private reply from a specific session: ask
  • Want the target session to decide whether to post: publish
  • Want a guaranteed direct post: force-send
  • Want blocking continuity with the control brain: send
  • Want fire-and-forget async: start, then wait and show
  • Want to stop queued work: cancel

Failure Handling

If relay work fails:

  1. Run doctor.
  2. Run status.
  3. Run show.
  4. If the control session is wedged, run cancel, then ensure, then retry.

If route discovery is uncertain:

  1. Resolve the target first.
  2. Prefer alias or exact session key.
  3. Use a tiny probe ask before sending the real payload.

Output Relay

Return the actual assistant text or delivery result, not shell noise.

For relay tasks, report:

  • transport used
  • target session key
  • whether the route probe/resolve succeeded
  • final posted or returned result

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Openclaw Relay AI skill do?

OpenClaw session relay: prompts/posts via local/remote acpx over SSH.

Why use Openclaw Relay on TypingMind?

Because you install it once and use it with any model. Openclaw Relay is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Openclaw Relay in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/steipete/agent-scripts/tree/main/skills/openclaw-relay. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Openclaw Relay?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Openclaw Relay?

As many as you like. As long as a model supports skills, you can use Openclaw Relay with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Openclaw Relay AI skill free?

Yes. It is published on GitHub by steipete under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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