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Configure Channel

OrganizationPopular
openclaw
configure-channel

Configure and prove a chat channel with non-interactive one-liners; secrets only as SecretRefs.

Overview

Publisheropenclaw
Repositoryopenclaw
Skill nameconfigure-channel
Stars
391K
Forks
82.2K
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Configure Channel 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.
    https://github.com/openclaw/openclaw/tree/main/custodian-skills/configure-channel
  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/openclaw/openclaw.git /tmp/openclaw
mkdir -p .claude/skills
cp -r /tmp/openclaw/custodian-skills/configure-channel .claude/skills/configure-channel
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Configure Channel 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 Configure Channel 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 Configure Channel 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.

Configure a channel

Never print or persist secret values; channel tokens enter config only as SecretRefs, or through the in-session connect_channel flow where the operator types the secret into a masked prompt. Never hand-edit config files on disk. Every run ends with the observable Prove result or an exact explanation of why it could not be proven.

Gather

openclaw channels list --all
openclaw channels status
openclaw config get channels --json        # "Config path not found" is normal before first setup

Confirm the exact config path before writing — key names differ per channel (channels.telegram.botToken, channels.discord.token, ...):

openclaw config schema --json | jq '.properties.channels.properties.telegram'

Mutate

Confirm the intended account and access changes with the operator before writing. Preserve existing approved allowlist entries, dmPolicy, and groupPolicy unless their replacement or change is explicitly approved; never broaden access to make a probe pass.

Preferred shell path — token staged as an env var on the gateway process or in a 0600 file, wired as a SecretRef (Telegram example):

openclaw config set channels.telegram.botToken --ref-provider default --ref-source env --ref-id TELEGRAM_BOT_TOKEN

With the bot connected and DM policy pairing, ask the operator to DM it. Read Your Telegram user id in the pairing reply, or run openclaw logs --follow and read senderUserId in that sender's telegram pairing request entry. Stop following once captured; keep unrelated logs private. If the current policy prevents this flow, use an already verified ID or report the discovery blocker; do not broaden access.

Use the numeric Telegram user ID, not a phone number, username, chat/group ID, or bot ID. In this single-user example, 123456789 is a placeholder: replace it with the verified, approved user ID and retain any other approved entries.

openclaw config set channels.telegram.allowFrom '["123456789"]' --strict-json

Multi-field changes in one validated write:

openclaw config patch --stdin <<'JSON'
{ channels: { telegram: { enabled: true, groupPolicy: "allowlist" } } }
JSON

In-session alternative: call the connect_channel tool action with the channel id — the operator enters the token in a masked prompt, never in chat. Avoid openclaw channels add --token <value>: it puts the secret in argv and process listings.

Repair

openclaw doctor --lint
openclaw channels status --probe

doctor --lint can exit 1 for findings: read the report and continue the remaining checks. Ordinary doctor and doctor --non-interactive can write config/state; do not use them for diagnosis before approval. Apply openclaw doctor --fix --non-interactive only after explicit approval, then re-check status.

Prove

Send one real, clearly labeled test message and confirm delivery from the command result (use --dry-run first to inspect the payload):

openclaw message send --channel telegram --target <chatId> --message "OpenClaw channel test — please ignore" --dry-run
openclaw message send --channel telegram --target <chatId> --message "OpenClaw channel test — please ignore"

If sending fails, report the exact account, permission, destination, or network blocker without exposing credentials.

Report

State the channel and account changed, the exact config paths written (never values), the test destination, and the observed delivery result. List any remaining operator action.

Further reference: https://docs.openclaw.ai/channels/telegram (and the matching page for other channels)

Frequently asked questions

What does the Configure Channel AI skill do?

Configure and prove a chat channel with non-interactive one-liners; secrets only as SecretRefs.

Why use Configure Channel on TypingMind?

Because you install it once and use it with any model. Configure Channel 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 Configure Channel in TypingMind?

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

Which AI models can use Configure Channel?

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 Configure Channel?

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

Is the Configure Channel AI skill free?

It is published on GitHub by openclaw. Check the repository for licensing terms. 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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