agent-onboarding

agent-onboarding is a skill for Claude Code, Codex from clawd-aftermath/nunchi-for-aftermath. It costs 17 tokens per session (2,284 once invoked), scanned A, a copy of agent-onboarding, MIT.

A step-by-step setup guide for YEX, an autonomous trading system that places trades on Hyperliquid, a cryptocurrency trading platform. It covers setup for either a test network or the live network.

In plain words
What is it for?
Use it to install dependencies, check the command-line tool, configure credentials and addresses, approve builder fees, validate a mock trade, and prepare for trading on Hyperliquid.
Why use it?
It reduces setup mistakes that can prevent orders from working or expose funds to unnecessary risk. It requires checks, a mock trade, and test-network validation before live trading.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is bash scripts/bootstrap.sh.

Good fit Use it to install dependencies, check the command-line tool, configure credentials and addresses, approve builder fees, validate a mock trade, and prepare for trading on Hyperliquid.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/clawd-aftermath/nunchi-for-aftermath
agentmods
npx agentmods add skills/clawd-aftermath/nunchi-for-aftermath/onboard

Made for: Claude Code, Codex.

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 agent-onboarding

README.md
[![agentmods](https://agentmods.dev/badge/skills/clawd-aftermath/nunchi-for-aftermath/onboard/github.svg)](https://agentmods.dev/skills/clawd-aftermath/nunchi-for-aftermath/onboard)
Your own site
<a href="https://agentmods.dev/skills/clawd-aftermath/nunchi-for-aftermath/onboard"><img src="https://agentmods.dev/badge/skills/clawd-aftermath/nunchi-for-aftermath/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 agent-onboarding

Your own site · 80×15
<a href="https://agentmods.dev/skills/clawd-aftermath/nunchi-for-aftermath/onboard"><img src="https://agentmods.dev/badge/skills/clawd-aftermath/nunchi-for-aftermath/onboard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,284 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod 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 $0.00017 $0.02284
Opus 5 $0.00009 $0.01142
Sonnet 5 $0.00003 $0.00457
Haiku 4.5 $0.00002 $0.00228

Measured 9d ago against content hash 989fee88c5e4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

agent-onboarding scanned grade A with 0 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 9d ago.

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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to agent-onboarding — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/onboard/SKILL.md · 316 lines

How it starts

The opening of the file, as written. The whole thing — 316 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Onboarding

Complete first-time setup for the YEX autonomous trading system on Hyperliquid. Follow every step in order. Do not skip steps. Verify each step before proceeding to the next.

Agent Mandate

You are onboarding onto the YEX trading system. Your goal is to reach a state where you can autonomously trade on Hyperliquid (testnet or mainnet). Every step has a verification command — if verification fails, fix the issue before continuing.

RULES:

  • Follow steps sequentially — each depends on the previous
  • NEVER skip builder fee approval — all orders will fail without it
  • ALWAYS validate with a mock trade before going live
  • NEVER start on mainnet without completing testnet validation first
  • Save all credentials (passwords, addresses) — they cannot be recovered

Step 1: Environment Bootstrap

Install Python dependencies and verify the CLI works.

Option A — Shell script (recommended):

cd ~/agent-cli
bash scripts/bootstrap.sh

Option B — Manual:

cd ~/agent-cli
python3 -m venv .venv
source .venv/bin/activate
pip install -e .

Verify:

hl setup check

Expected: All items show OK, no !! issues (except missing key — that's Step 2).

If fails:

Error Fix
python3 not found Install Python 3.10+ via brew install python or system package manager
pip install failed Ensure you're in a venv: source .venv/bin/activate
ModuleNotFoundError: hyperliquid Run pip install hyperliquid-python-sdk

Step 2: Wallet Setup

Create or import a Hyperliquid wallet.

Decision tree:

  • Do you have a private key?
    • YES → Import it:
      hl wallet import --key 0x<your_key>
      
    • NO → Create a new one (non-interactive, with auto-saved credentials):
      hl wallet auto --save-env --json
      
      This creates the wallet, saves HL_KEYSTORE_PASSWORD to ~/.hl-agent/env (auto-detected by CLI), and outputs JSON: {"address": "...", "password": "...", "keystore": "...", "env_file": "..."}.

Read the full file on GitHub · 316 lines

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. 9d ago First seen · 316 lines · 17 tokens per session scan A 989fee88c5e4

Subscribe to this mod's changes

agent-onboarding is a skill published in the GitHub repository clawd-aftermath/nunchi-for-aftermath (2 stars, last pushed 21d ago), licensed MIT. It adds 17 tokens to every session and 2,284 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to agent-onboarding, differing in 0 lines, and is treated as a copy.