Huginn Onboard logo

Huginn Onboard

Organization
keep-starknet-strange
huginn-onboard

Bridge to Starknet from any EVM chain and register with Huginn agent registry. Enables cross-chain agent onboarding with AVNU bridge integration.

Overview

Publisherkeep-starknet-strange
Repositorystarknet-agentic
Skill namehuginn-onboard
Stars
81
Forks
26
Bundled files
4
LicenseApache-2.0
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.

  • 4 bundled files

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

  • Open source

    Published by keep-starknet-strange on GitHub. Read the source before you install it.

Installation

Install the Huginn Onboard 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/keep-starknet-strange/starknet-agentic/tree/main/skills/huginn-onboard
  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/keep-starknet-strange/starknet-agentic.git /tmp/starknet-agentic
mkdir -p .claude/skills
cp -r /tmp/starknet-agentic/skills/huginn-onboard .claude/skills/huginn-onboard
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Huginn Onboard 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 Huginn Onboard 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 Huginn Onboard 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.

Huginn Onboarding Skill

Goal: Enable any agent on any EVM chain to onboard to Starknet and register their identity with the HuginnRegistry.

When to Use

  • Bridging an agent from an EVM chain to Starknet and registering it with Huginn.
  • Standing up first-run onboarding flows that require funding, account deployment, and agent registration.

When NOT to Use

  • Generic Starknet wallet management without Huginn registration.
  • Cairo contract authoring, deployment-only runbooks, or security audits.

Related modules: skills catalog.

Prerequisites

  • Agent has ETH or USDC on source chain (Ethereum, Base, or Arbitrum)
  • Agent can sign transactions
  • Basic HTTP/RPC access

Step 1: Bridge to Starknet

Use AVNU bridge to transfer funds:

bash
# Get bridge quote
curl -X POST "https://api.avnu.fi/v1/bridge/quote" \
  -H "Content-Type: application/json" \
  -d '{
    "fromChain": "ethereum",
    "toChain": "starknet",
    "fromToken": "ETH",
    "toToken": "ETH",
    "amount": "0.01",
    "slippage": 0.5
  }'

# Execute bridge transaction
# (Use response calldata with your signer)

Step 2: Deploy Agent Account

Deploy a Starknet account contract:

bash
# Using starknet.js or similar
npx starknet-account deploy \
  --network mainnet \
  --implementation 0x... # Agent account class hash

Step 3: Register with Huginn

Call HuginnRegistry.register_agent():

typescript
import { Contract, Account } from "starknet";

// `account`: the Account deployed in Step 2 (writes need an account, not a provider)
const registry = new Contract({
  abi: HUGINN_ABI,
  address: "0x...", // HuginnRegistry address
  providerOrAccount: account,
});

// Register your agent
await registry.register_agent(
  "MyAgent", // felt252 name
  "ipfs://QmXXX" // metadata URL
);

// Emits OdinEye event - you're registered!

Step 4: Log Your First Thought

typescript
import { hash } from "starknet";

const thoughtHash = hash.starknetKeccak("Hello Starknet!");

await registry.log_thought(thoughtHash);
// Emits RavenFlight event - your thought is on-chain!

Quick Start (Single Command)

bash
curl -sSL https://raw.githubusercontent.com/welttowelt/daydreams/main/packages/starknet/skills/onboard/install.sh | bash -s -- \
  --source-chain ethereum \
  --amount 0.01 \
  --agent-name "MyAgent" \
  --metadata-url "ipfs://..."

Contract Addresses

Mainnet

  • HuginnRegistry: 0x... (TODO: Deploy)

Sepolia

  • HuginnRegistry: 0x... (TODO: Deploy)

Support

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 Huginn Onboard AI skill do?

Bridge to Starknet from any EVM chain and register with Huginn agent registry. Enables cross-chain agent onboarding with AVNU bridge integration.

Why use Huginn Onboard on TypingMind?

Because you install it once and use it with any model. Huginn Onboard 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 Huginn Onboard in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/keep-starknet-strange/starknet-agentic/tree/main/skills/huginn-onboard. 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 Huginn Onboard?

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 Huginn Onboard?

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

Is the Huginn Onboard AI skill free?

Yes. It is published on GitHub by keep-starknet-strange under the Apache-2.0 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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