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Tool.Setup Slack.2e0c4f53cfa18218

Organization
AI45Lab
tool.setup_slack.2e0c4f53cfa18218

Sets up the Slack messaging adapter with agent-first config, reload, verification, and identity linking steps. Use when onboarding or repairing Slack channel integration.

Overview

PublisherAI45Lab
RepositoryOpenART
Skill nametool.setup_slack.2e0c4f53cfa18218
Stars
251
Forks
28
Bundled files
1
LicenseAGPL-3.0
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.

  • 1 bundled files

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

  • Open source

    Published by AI45Lab on GitHub. Read the source before you install it.

Installation

Install the Tool.Setup Slack.2e0c4f53cfa18218 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/AI45Lab/OpenART/tree/main/openart-tools/tool.setup_slack.2e0c4f53cfa18218
  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/AI45Lab/OpenART.git /tmp/OpenART
mkdir -p .claude/skills
cp -r /tmp/OpenART/openart-tools/tool.setup_slack.2e0c4f53cfa18218 .claude/skills/tool.setup_slack.2e0c4f53cfa18218
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Tool.Setup Slack.2e0c4f53cfa18218 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 Tool.Setup Slack.2e0c4f53cfa18218 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 Tool.Setup Slack.2e0c4f53cfa18218 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.

setup-slack

Use this skill when the user asks to set up Slack messaging for mu.

Goal: get /mu ... working end-to-end in Slack, with the agent doing all local setup and asking the user only for Slack-console actions/secrets the agent cannot perform.

Contents

Required user-provided inputs

  • Public webhook base URL reachable by Slack (for example https://mu.example.com)
  • Slack app Signing Secret
  • Slack app Bot User OAuth Token (xoxb-...) for outbound replies/media

Agent-first workflow

0) Verify local prerequisites (agent)

bash
command -v mu >/dev/null && echo "mu: ok"
command -v python3 >/dev/null && echo "python3: ok (required for config patching)"
command -v curl >/dev/null && echo "curl: ok (required for API checks)"
command -v jq >/dev/null && echo "jq: ok (required for filtered JSON checks)"

If any required command is missing, stop and ask the user to install it before proceeding.

1) Preflight local state

bash
mu control status --pretty
mu store paths --pretty
mu control identities --all --pretty

If no running server is available when reload/route checks are attempted, ask the user to run mu serve in another terminal, then continue.

2) Drive user through Slack console steps (minimal ask)

Ask the user to do only these actions in Slack API UI:

  1. Create/install a Slack app in target workspace.
  2. Configure request URL for all inbound surfaces to:
    • https://<public-base>/webhooks/slack
  3. Enable at least:
    • Slash command /mu
    • Event Subscriptions (app_mention)
    • Interactivity
  4. Ensure bot scopes include:
    • app_mentions:read
    • chat:write
    • files:read
    • files:write
  5. Return signing_secret and bot_token to the agent.

3) Agent patches mu config (do not ask user to edit JSON)

Use this canonical patch snippet (preserves unrelated keys):

bash
export MU_SLACK_SIGNING_SECRET='<SLACK_SIGNING_SECRET>'
export MU_SLACK_BOT_TOKEN='<SLACK_BOT_TOKEN>'
config_path="$(mu control status --json | python3 -c 'import json,sys; print(json.load(sys.stdin)["config_path"])')"

python3 - "$config_path" <<'PY'
import json
import os
import sys
from pathlib import Path

path = Path(sys.argv[1])
if path.exists():
    data = json.loads(path.read_text())
else:
    data = {"version": 1, "control_plane": {}}

cp = data.setdefault("control_plane", {})
adapters = cp.setdefault("adapters", {})
slack = adapters.setdefault("slack", {})
slack["signing_secret"] = os.environ["MU_SLACK_SIGNING_SECRET"]
slack["bot_token"] = os.environ["MU_SLACK_BOT_TOKEN"]

path.parent.mkdir(parents=True, exist_ok=True)
path.write_text(json.dumps(data, indent=2) + "\n")
PY

Replace placeholder values with secrets from the user, then unset MU_SLACK_SIGNING_SECRET MU_SLACK_BOT_TOKEN after patching.

4) Reload and verify adapter status

bash
mu control reload
mu control status --json --pretty
curl -sS http://localhost:3000/api/control-plane/channels | jq '.channels[] | select(.channel=="slack")'

Verify:

  • configured: true
  • active: true (when server is running)
  • route /webhooks/slack

5) Identity link with least user effort

Preferred flow:

  1. Ask user to send one Slack turn (for example /mu status).
  2. Extract actor + tenant IDs from audit.
  3. Link identity as operator.
bash
mu store tail cp_adapter_audit --limit 50 --json \
  | jq -r '[.[] | select(.channel=="slack")] | last | "actor=\(.actor_id) tenant=\(.channel_tenant_id)"'

mu control link --channel slack --actor-id <actor-id> --tenant-id <tenant-id> --role operator
mu control identities --pretty

If audit rows are unavailable, ask user for Slack IDs (U... user id, T... workspace id).

6) Smoke test + forensic confirmation

bash
mu control status --pretty
mu store tail cp_adapter_audit --limit 20 --pretty
mu store tail cp_outbox --limit 20 --pretty

Ask user to run /mu status again and confirm response delivery.

Evaluation scenarios

  1. Happy path onboarding

    • Inputs: valid public base URL, signing_secret, bot_token, running mu serve.
    • Expected: /api/control-plane/channels reports Slack configured=true and active=true; Slack /mu status returns a response.
  2. Signature validation failure

    • Inputs: wrong signing_secret configured.
    • Expected: inbound command is rejected; cp_adapter_audit shows deterministic signature/timestamp reason code; skill proposes secret rotation and reload as next step.
  3. Outbound token missing/invalid

    • Inputs: webhook ingress works but bot_token missing or invalid.
    • Expected: ingress may ACK but delivery fails; cp_outbox/adapter audit expose concrete failure reason; skill guides user to update token and re-run smoke test.

Safety and UX requirements

  • Never expose secrets in chat logs unnecessarily; redact in summaries.
  • Do not overwrite unrelated config.json fields.
  • Keep the user ask short and sequential (one external-console step at a time).
  • If setup fails, report concrete reason codes from audit/outbox and propose the next smallest recovery step.

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 Tool.Setup Slack.2e0c4f53cfa18218 AI skill do?

Sets up the Slack messaging adapter with agent-first config, reload, verification, and identity linking steps. Use when onboarding or repairing Slack channel integration.

Why use Tool.Setup Slack.2e0c4f53cfa18218 on TypingMind?

Because you install it once and use it with any model. Tool.Setup Slack.2e0c4f53cfa18218 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 Tool.Setup Slack.2e0c4f53cfa18218 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AI45Lab/OpenART/tree/main/openart-tools/tool.setup_slack.2e0c4f53cfa18218. 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 Tool.Setup Slack.2e0c4f53cfa18218?

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 Tool.Setup Slack.2e0c4f53cfa18218?

As many as you like. As long as a model supports skills, you can use Tool.Setup Slack.2e0c4f53cfa18218 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Tool.Setup Slack.2e0c4f53cfa18218 AI skill free?

Yes. It is published on GitHub by AI45Lab under the AGPL-3.0 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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