huginn-onboard

huginn-onboard is a skill for Claude Code, Codex from keep-starknet-strange/starknet-agentic. It costs 33 tokens per session (814 once invoked), scanned C, original, MIT.

An onboarding procedure for moving an agent from an EVM blockchain to Starknet and registering its identity with the Huginn registry. EVM chains are Ethereum-compatible blockchains, while Starknet is another blockchain network.

In plain words
What is it for?
Use it to bridge ETH or USDC from Ethereum, Base, or Arbitrum, deploy a Starknet account, and register the agent with Huginn.
Why use it?
It groups the funding, bridging, account setup, and registration steps needed before the agent can join Huginn.

Skill for Claude CodeCodex

Written for Claude Code and Codex: allowed-tools in frontmatter, but also agents/openai.yaml present.

Part of the starknet-agentic-skills plugin — 19 skills, 2 commands, 1 plugin shipped together

Good fit Use it to bridge ETH or USDC from Ethereum, Base, or Arbitrum, deploy a Starknet account, and register the agent with Huginn.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/keep-starknet-strange/starknet-agentic/huginn-onboard
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add keep-starknet-strange/starknet-agentic --skill huginn-onboard
Clone the repo
git clone --depth 1 https://github.com/keep-starknet-strange/starknet-agentic

Made for: Claude Code, Codex.

Or install starknet-agentic-skills, the plugin that ships this one along with the rest of its 19 skills, 2 commands, 1 plugin.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for huginn-onboard

README.md
[![agentmods](https://agentmods.dev/badge/skills/keep-starknet-strange/starknet-agentic/huginn-onboard/github.svg)](https://agentmods.dev/skills/keep-starknet-strange/starknet-agentic/huginn-onboard)
Your own site
<a href="https://agentmods.dev/skills/keep-starknet-strange/starknet-agentic/huginn-onboard"><img src="https://agentmods.dev/badge/skills/keep-starknet-strange/starknet-agentic/huginn-onboard/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for huginn-onboard

Your own site · 80×15
<a href="https://agentmods.dev/skills/keep-starknet-strange/starknet-agentic/huginn-onboard"><img src="https://agentmods.dev/badge/skills/keep-starknet-strange/starknet-agentic/huginn-onboard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 814 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00033 $0.00814
Opus 5 $0.00016 $0.00407
Sonnet 5 $0.00007 $0.00163
Haiku 4.5 $0.00003 $0.00081

Measured 12d ago against content hash 0b4209c3b467, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade C, and why

huginn-onboard scanned grade C with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (install.sh, meta-install.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Downloads and executes remote codehighSupply chain

curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.

curl -sSL https://raw.githubusercontent.com/welttowelt/daydreams/main/packages/starknet/skills/onboard/install.sh | bash -s -- \

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -X POST "https://api.avnu.fi/v1/bridge/quote" \
skills/huginn-onboard/SKILL.md · 124 lines

How it starts

The opening of the file, as written. The whole thing — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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:

# 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:

# 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():

import { Contract, Account } from "starknet";

const registry = new Contract(
  HUGINN_ABI,
  "0x...", // HuginnRegistry address
  provider
);

// 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

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)

Read the full file on GitHub · 124 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 124 lines · 33 tokens per session scan C 0b4209c3b467

Subscribe to this mod's changes

huginn-onboard is a skill published in the GitHub repository keep-starknet-strange/starknet-agentic (80 stars, last pushed 3d ago), licensed MIT. It adds 33 tokens to every session and 814 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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