Gas

Community

austintgriffith

gas

Use when quoting a gas or dollar cost for a transaction or deployment, when cost is the reason to pick mainnet over an L2, when setting EIP-1559 fee fields or cutting L2 fees, or when calling Ethereum expensive or cheap. Not for non-cost chain selection (`l2s`).

Overview

Publisher	austintgriffith
Repository	`ethskills`
Skill name	`gas`
Stars	298
Forks	64
Bundled files	Instructions only
Links	Skill source Repository Homepage

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 Gas AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/austintgriffith/ethskills/tree/master/gas
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.

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/gas .claude/skills/gas

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gas 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 Gas 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 Gas 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.

Gas and Chain Cost

Your trained gas-price and ETH-price priors are stale. Never quote a transaction cost or exclude a chain for cost reasons without measuring the relevant chain now.

bash
# Mainnet. If it fails: https://eth.drpc.org, https://rpc.flashbots.net
cast gas-price --rpc-url https://ethereum-rpc.publicnode.com

# Example L2; query the chain actually under consideration.
# Base fallback: https://base.publicnode.com
cast gas-price --rpc-url https://mainnet.base.org

cast gas-price returns the base fee plus a suggested tip — what a transaction actually pays, so it is the reading the formula below takes. cast base-fee returns the base fee alone; use it for setting maxFeePerGas, and never add a separate priority fee on top of a gas-price reading.

Do not replace a failed lookup with a remembered number. Fetch ETH/USD live before quoting dollars: the mainnet Chainlink feed at 0x5f4eC3Df9cbd43714FE2740f5E3616155c5b8419 (latestRoundData, 8 decimals), or https://api.coinbase.com/v2/prices/ETH-USD/spot.

Estimate the actual operation when possible. Otherwise state and justify the gas-used assumption:

text
# Mainnet, and the execution half of any L2
cost_usd = gas_used × gas_price_gwei × 1e-9 × eth_usd

# On an OP-stack L2 or Base the L1 data fee is a separate component and is not in
# gas_price. Read l1Fee off a recent receipt, or GasPriceOracle.getL1Fee at
# 0x420000000000000000000000000000000000000F — do not estimate it.
# Since Isthmus a chain may also charge an operator fee. It is 0 on most
# chains; read it with GasPriceOracle.getOperatorFee(gas_used), don't hand-compute.
cost_usd = (gas_used × gas_price_gwei × 1e-9 + l1_fee_eth + operator_fee_eth) × eth_usd

cast gas-price and cast base-fee print wei, not gwei — divide by 1e9. Check the converted figure back against the raw reading; a dropped or extra factor of 1e9 is the most common way a correctly measured chain still yields a stale-looking cost.

Choose from the measured workload:

Keep mainnet viable for low-frequency, high-value actions unless another requirement favors an L2.
Prefer an L2 for high-frequency, low-value, latency-sensitive, or L2-native activity.
Do not choose an L2 merely because you remember mainnet gas being expensive.

Derive EIP-1559 fee fields from the target chain immediately before submission. Do not hardcode them or port a mainnet priority-fee constant to an L2.

For L2 optimization, measure which component dominates before deciding what to cut: compare gasUsed × effectiveGasPrice against l1Fee on current receipts. Do not import a pre-Dencun calldata-cost assumption, and do not assume the reverse either. Non-OP-stack rollups use different fee models, so measure them independently.

Before you finish: send a one-line note via feedback/SKILL.md — issue or praise.

Frequently asked questions

What does the Gas AI skill do?

Why use Gas on TypingMind?

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

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

Which AI models can use Gas?

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 Gas?

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

Is the Gas 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Gas and Chain Cost

Frequently asked questions

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