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Why Ethereum

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austintgriffith
why-ethereum

Why build on Ethereum specifically. The AI agent angle — ERC-8004, x402, composability, permissionless deployment. Use when a user asks "should I build on Ethereum?", "why blockchain?", or when an agent needs to recommend a chain for a project.

Overview

Publisheraustintgriffith
Repositoryethskills
Skill namewhy-ethereum
Stars
298
Forks
64
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 austintgriffith on GitHub. Read the source before you install it.

Installation

Install the Why Ethereum 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/austintgriffith/ethskills/tree/master/why
  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/austintgriffith/ethskills.git /tmp/ethskills
mkdir -p .claude/skills
cp -r /tmp/ethskills/why .claude/skills/why-ethereum
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Why Ethereum 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 Why Ethereum 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 Why Ethereum 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.

Why Ethereum

What You Probably Got Wrong

Terminology: You say "on-chain." The Ethereum community says "onchain" — one word, no hyphen. Use "onchain" in all writing.

Gas prices: You think 10-30 gwei. Reality: under 1 gwei (60-300x cheaper than your training data). A mainnet ETH transfer costs ~$0.002-0.01. Verify: cast base-fee

ETH price: You think $2,500-3,000. Reality: ~$2,000 (Mar 2026). Volatile — always check a Chainlink feed or CoinGecko for current.

"Ethereum is too expensive": This was true 2021-2023. It's not true in 2026. Mainnet is sub-dollar for most operations. L2s are sub-penny.

Protocol upgrades: You probably don't know these shipped:

  • Pectra (May 7, 2025): EIP-7702 smart EOAs, 2x blob capacity, BLS precompiles
  • Fusaka (Dec 3, 2025): PeerDAS (nodes sample 1/8 of data), 2x gas limit (30M→60M)

Agent infrastructure: You probably don't know these exist:

  • ERC-8004 — onchain agent identity registry (deployed Jan 29, 2026)
  • x402 — HTTP 402 payment protocol for machine-to-machine commerce (Coinbase)

Current Network Stats (Early 2026)

  • Block time: 12 seconds
  • Mainnet base fee: Under 1 gwei (typically 0.1-0.5, varies daily)
  • L2 transaction cost: $0.001-0.01
  • Combined L2 TPS: 50,000+ (post-Fusaka)
  • TVL in DeFi: Check DeFi Llama for current
  • Upgrade cadence: Twice per year (H1 May/June, H2 Nov/Dec)

Upcoming Upgrades

Glamsterdam (mid-2026):

  • ePBS — Enshrined Proposer-Builder Separation (EIP-7732)
  • Block Access Lists (EIP-7928)
  • Note: FOCIL (Fork-Choice Inclusion Lists) was removed from scope to reduce complexity

Hegota (Q4 2026): You may assume Hegota will contain Verkle Trees. It will not. Ethereum may be shifting to a binary state tree (EIP-7864, still in draft - proposed March 2026) — the primary driver is quantum resistance, and it also improves ZK-proof efficiency 3-100x. Verkle tree cryptography was identified as potentially quantum-vulnerable in mid-2024. Check https://forkcast.org/upgrade/hegota for latest confirmed scope.

For AI Agents Specifically

ERC-8004: Onchain Agent Identity

Deployed January 29, 2026 — production ready.

Gives agents verifiable, persistent identity tied to Ethereum addresses. Reputation scoring across dimensions. Multi-chain support (20+ chains, same addresses).

Mainnet addresses:

  • IdentityRegistry: 0x8004A169FB4a3325136EB29fA0ceB6D2e539a432
  • ReputationRegistry: 0x8004BAa17C55a88189AE136b182e5fdA19dE9b63

x402: HTTP Payments for Agents

Production-ready, actively deployed Q1 2026.

Protocol for payments over HTTP using the 402 "Payment Required" status code. Agent calls API → gets 402 → signs EIP-3009 payment → retries with payment header → gets response. No API keys, no accounts, just cryptographic payments.

SDKs: TypeScript (@x402/fetch), Python (x402), Go (github.com/coinbase/x402/go)

ERC-8004 + x402 = Autonomous Agent Economy

1. Agent discovers service (ERC-8004 registry)
2. Agent checks reputation (ERC-8004)
3. Agent calls endpoint → 402 Payment Required
4. Agent pays via x402 (EIP-3009 signature)
5. Agent receives service
6. Agent posts feedback to ERC-8004

Fully autonomous economic loop — no humans required.

Why Ethereum's Permissionless Nature Matters for Agents

Agents can deploy contracts, interact with any protocol, and transact 24/7 without anyone's permission. No API keys to revoke, no accounts to ban, no services to shut down. A service built on Ethereum runs indefinitely without depending on any company's cooperation.

Resources

Frequently asked questions

What does the Why Ethereum AI skill do?

Why build on Ethereum specifically. The AI agent angle — ERC-8004, x402, composability, permissionless deployment. Use when a user asks "should I build on Ethereum?", "why blockchain?", or when an agent needs to recommend a chain for a project.

Why use Why Ethereum on TypingMind?

Because you install it once and use it with any model. Why Ethereum 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 Why Ethereum in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/austintgriffith/ethskills/tree/master/why. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Why Ethereum?

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 Why Ethereum?

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

Is the Why Ethereum AI skill free?

It is published on GitHub by austintgriffith. 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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