ethskills

Correct stale Ethereum knowledge for AI agents with authoritative references.

Updated Mar 19, 2026
One-click install
npx skills add https://github.com/involvex/aetheris --skill ethskills-involvex
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ethskills
Source: https://github.com/involvex/aetheris/tree/main/.agents/skills/ethskills
Command: npx skills add https://github.com/involvex/aetheris --skill ethskills-involvex

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Ethereum knowledge for AI agents is often stale; EthSkills provides up-to-date corrections and authoritative references to keep agent knowledge current.

Core Features & Use Cases

  • Corrects gas costs, Layer 2 pricing, token decimals, contract addresses, and ERC standards to reflect 2026 reality, ensuring AI agents reason with current data.
  • Serves as a central knowledge base for AI agents involved in building, auditing, deploying, or interacting with Ethereum-based systems, wallets, or DeFi protocols across mainnet and L2s.
  • Enables on-demand context loading by fetching the SKILL.md page for a given topic, enabling task-specific guidance during coding, security reviews, and deployment planning.

Quick Start

Fetch the EthSkills SKILL.md at https://ethskills.com/ethskills/SKILL.md to load the latest Ethereum knowledge.

Frequently Asked Questions about ethskills

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I keep my AI agent's Ethereum knowledge current with 2026 network updates?

To keep AI agents current on Ethereum's evolution, fetch the EthSkills SKILL.md page to load up-to-date corrections for gas costs, Layer 2 pricing, and ERC standards. This ensures your agent reasons with current mainnet and L2 data instead of stale training information.

Why does my AI agent output outdated Ethereum gas costs and token decimals?

AI agents output outdated Ethereum gas costs and token decimals because their base training data is stale. Loading the EthSkills knowledge base corrects these specific values to reflect current 2026 reality, preventing hallucinated or obsolete data during smart contract interactions.

Can I use this Ethereum knowledge correction skill for Layer 2 deployment planning?

Yes, you can use this Ethereum knowledge correction skill for Layer 2 deployment planning. It serves as a central knowledge base for building, auditing, deploying, and interacting with Ethereum ecosystems across both mainnet and L2 networks.

What is the best way to provide on-demand context to an AI agent during a smart contract security review?

The best way to provide on-demand context during a smart contract security review is fetching the EthSkills SKILL.md page. This loads task-specific guidance and authoritative references for current ERC standards and contract addresses directly into the agent's context window.

Do I need a specific framework to load Ethereum knowledge corrections into my AI agent?

No specific framework is required to load Ethereum knowledge corrections. You only need an AI agent capable of fetching and parsing the EthSkills SKILL.md Markdown page, which provides operational instructions and authoritative knowledge updates.

What are the limitations of relying on base LLM training data for Ethereum DeFi protocol interactions?

Relying on base LLM training data for Ethereum DeFi protocol interactions risks stale knowledge of contract addresses and Layer 2 pricing. EthSkills mitigates this by providing current 2026 corrections, though agents still require external fetching to access the live SKILL.md page.