evm-token-decimals
Helps your agent avoid errors with decimal numbers across different blockchain networks. It ensures token values are accurate in transactions and calculations.
What it does
This tool helps ensure that digital currency (token) values across different blockchain networks are calculated correctly. It prevents errors that make values appear much larger or smaller than they actually are.
When to use it
- ✓When checking a digital currency's balance.
- ✓When calculating the real-world money value of your digital assets.
- ✓When comparing digital currency values across different blockchain networks.
Example of what to ask your AI
“What is the actual balance of UNI tokens in my wallet on the Polygon network?”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
It queries the correct information about the digital currency in real-time and stores this information for future use. This ensures calculations are always accurate, even if the same digital currency has different representations on different networks.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add affaan-m/ECC --skill evm-token-decimalsOr download just the file:
curl -L https://raw.githubusercontent.com/affaan-m/ECC/main/skills/evm-token-decimals/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
EVM Token Decimals
Silent decimal mismatches are one of the easiest ways to ship balances or USD values that are off by orders of magnitude without throwing an error.
When to Use
- Reading ERC-20 balances in Python, TypeScript, or Solidity
- Calculating fiat values from on-chain balances
- Comparing token amounts across multiple EVM chains
- Handling bridged assets
- Building portfolio trackers, bots, or aggregators
How It Works
Never assume stablecoins use the same decimals everywhere. Query decimals() at runtime, cache by (chain_id, token_address), and use decimal-safe math for value calculations.
Examples
Query decimals at runtime
from decimal import Decimal
from web3 import Web3
ERC20_ABI = [
{"name": "decimals", "type": "function", "inputs": [],
"outputs": [{"type": "uint8"}], "stateMutability": "view"},
{"name": "balanceOf", "type": "function",
"inputs": [{"name": "account", "type": "address"}],
"outputs": [{"type": "uint256"}], "stateMutability": "view"},
]
def get_token_balance(w3: Web3, token_address: str, wallet: str) -> Decimal:
contract = w3.eth.contract(
address=Web3.to_checksum_address(token_address),
abi=ERC20_ABI,
)
decimals = contract.functions.decimals().call()
raw = contract.functions.balanceOf(Web3.to_checksum_address(wallet)).call()
return Decimal(raw) / Decimal(10 ** decimals)
Do not hardcode 1_000_000 because a symbol usually has 6 decimals somewhere else.
Cache by chain and token
from functools import lru_cache
@lru_cache(maxsize=512)
def get_decimals(chain_id: int, token_address: str) -> int:
w3 = get_web3_for_chain(chain_id)
contract = w3.eth.contract(
address=Web3.to_checksum_address(token_address),
abi=ERC20_ABI,
)
return contract.functions.decimals().call()
Handle odd tokens defensively
try:
decimals = contract.functions.decimals().call()
except Exception:
logging.warning(
"decimals() reverted on %s (chain %s), defaulting to 18",
token_address,
chain_id,
)
decimals = 18
Log the fallback and keep it visible. Old or non-standard tokens still exist.
Normalize to 18-decimal WAD in Solidity
interface IERC20Metadata {
function decimals() external view returns (uint8);
}
function normalizeToWad(address token, uint256 amount) internal view returns (uint256) {
uint8 d = IERC20Metadata(token).decimals();
if (d == 18) return amount;
if (d < 18) return amount * 10 ** (18 - d);
return amount / 10 ** (d - 18);
}
TypeScript with ethers
import { Contract, formatUnits } from 'ethers';
const ERC20_ABI = [
'function decimals() view returns (uint8)',
'function balanceOf(address) view returns (uint256)',
];
async function getBalance(provider: any, tokenAddress: string, wallet: string): Promise<string> {
const token = new Contract(tokenAddress, ERC20_ABI, provider);
const [decimals, raw] = await Promise.all([
token.decimals(),
token.balanceOf(wallet),
]);
return formatUnits(raw, decimals);
}
Quick on-chain check
cast call <token_address> "decimals()(uint8)" --rpc-url <rpc>
Rules
- Always query
decimals()at runtime - Cache by chain plus token address, not symbol
- Use
Decimal,BigInt, or equivalent exact math, not float - Re-query decimals after bridging or wrapper changes
- Normalize internal accounting consistently before comparison or pricing
FAQ
Why does a digital currency balance appear wrong?
This can happen because different blockchain networks use a different number of 'decimal places' to represent the same digital currency. This tool corrects for this difference.
What are 'decimal places' in the context of digital currencies?
It's how the digital currency is divided. For example, 1 Bitcoin might be represented as 1,000,000,000,000,000,000 smaller units, depending on the defined 'decimal places'.
Does this tool work for all digital currencies?
It's designed for digital currencies on EVM (Ethereum Virtual Machine) networks, which include popular networks like Ethereum, Polygon, Binance Smart Chain, and others.
Details
Original description by the author
Prevent silent decimal mismatch bugs across EVM chains. Covers runtime decimal lookup, chain-aware caching, bridged-token precision drift, and safe normalization for bots, dashboards, and DeFi tools. Use when handling token amounts across EVM chains, or when a balance, price, or transfer amount is off by orders of magnitude.
repo: affaan-m/ECC
Popularity
- GitHub stars
- 280k
- Ranking position
- #187
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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