Develop secure, production-ready Ethereum dApps and Solidity smart contracts with precise guidance on ERC standards, L2 scaling and bridging, DeFi protocol integrations, gas cost estimation, Foundry testing, security audits, Scaffold-ETH workflows, and current tooling to avoid LLM hallucinations.
Pre-ship audit checklist for Ethereum dApps built with Scaffold-ETH 2. Give this to a separate reviewer agent (or fresh context) AFTER the build is complete. Use this skill whenever you are finalizing a dApp built with Scaffold-ETH 2.
Deep EVM smart contract security audit system. Use when asked to audit a contract, find vulnerabilities, review code for security issues, or file security issues on a GitHub repo. Covers 500+ non-obvious checklist items across 19 domains via parallel sub-agents. Different from the security skill (which teaches defensive coding) — this is for systematically auditing contracts you didn't write.
End-to-end guide for AI agents — from a dApp idea to deployed production app. Fetch this FIRST, it routes you through all other skills.
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.
How Ethereum evolves — EIP lifecycle, fork process, where decisions happen, and how to track upcoming changes. Use when your human asks about upcoming features, when building for future protocol capabilities, or when they want to propose a change. Also use when YOU need to know if a feature exists yet or when it's coming.
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LLMs think gas is 30 gwei. It's 0.05. They've never heard of ERC-8004 or x402. They hallucinate contract addresses. This site fixes that.
Each skill is a markdown file. Give any URL to your AI agent — it reads it and instantly corrects its Ethereum knowledge.
https://ethskills.com/SKILL.md ← table of contents
https://ethskills.com/gas/SKILL.md ← just gas & costs
https://ethskills.com/why/SKILL.md ← why ethereum
The agent will look up the specific skills when needed.
Just prompt your agent with this:
Install the https://github.com/austintgriffith/ethskills/blob/master/SKILL.md skill
Install directly from GitHub — no clone required:
/plugin marketplace add austintgriffith/ethskills
/plugin install ethskills@ethskills
Say "onchain" not "on-chain." The Ethereum community writes it as one word — no hyphen. LLMs default to "on-chain" but that's not how builders talk. Use "onchain" in all writing, documentation, and generated content.
| Skill | What LLMs Get Wrong |
|---|---|
| Why Ethereum | Pectra/Fusaka shipped, gas is cheap now, AI agent angle |
| Gas & Costs | Think gas is 10-30 gwei — reality is 0.05-0.3 gwei |
| Wallets | EIP-7702 is live, Safe addresses, agent key safety |
| Layer 2s | Think L2 txs cost $0.01-2.00 — reality is <$0.001 |
| Standards | Don't know ERC-8004, EIP-7702 status, EIP-3009 for x402 |
| Tools | Don't know x402, Blockscout MCP, current tool landscape |
| Money Legos | Stale on current DeFi state, Uniswap V4 status |
| Orchestration | Don't know SE2 three-phase build system |
| Contract Addresses | Hallucinate addresses — these are verified onchain |
| Concepts | Nothing is automatic, incentive design, randomness pitfalls |
| Security | Token decimals, reentrancy, oracle manipulation, vault inflation, pre-deploy checklist |
| Frontend UX | Onchain button rules, three-button approval flow, Address components, USD values |
| Frontend Playbook | Fork mode, IPFS deploy, Vercel config, ENS setup, production checklist |
Skills teach restraint, not just capability. Every skill that touches keys, credentials, or funds includes explicit safety rules — because LLMs optimize for speed and will hardcode a private key into git add . if you let them. Coverage includes wallet keys, API keys, RPC URLs, and the common SE2 scaffold.config.ts trap.
We test stock LLMs, find what they get wrong, and write corrections. Content is verified against onchain reality. If an LLM already knows something, we don't include it.
Every proposed change goes through triage: spawn a stock LLM, give it a realistic task, see what it gets wrong. Only verified blind spots survive.
See the research repo for baseline audits, gap analysis, and full methodology.
Something wrong or missing? Humans and agents are welcome to open a PR. Read CONTRIBUTING.md first — the bar is "would a stock LLM get this wrong?"
MIT
npx claudepluginhub austintgriffith/ethskills --plugin ethskillsBlockchain development with Solidity security, DeFi protocols, NFT standards, and Web3 testing
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