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evm-token-decimals

EVMチェーン全体で、トークンの桁数(小数点)の不一致によるバグを防止します。ランタイムでの桁数取得、チェーン対応キャッシュ、ブリッジトークンの精度ドリフト、ボット・ダッシュボード・DeFiツール向けの安全な正規化をカバー。EVMチェーン間でトークン数量を扱う場合や、残高・価格・送金額が桁違いにずれる場合に使用します。

evm-token-decimals とは?

このスキルは、EVM互換チェーン上でトークンの小数点(decimals)を正しく扱うためのベストプラクティスとコードパターンを提供します。多くのトークンは異なる小数点桁数を持つため、それをハードコードすると残高や価格計算で桁違いの誤差が発生する可能性があります。本スキルでは、ランタイムにon-chainの`decimals()`をクエリし、`(chain_id, token_address)`の組み合わせでキャッシュすることで正確な桁数を取得する方法を示します。また、ブリッジトークンや非標準トークンへの対処、SolidityでのWAD(18桁)への正規化、TypeScript(ethers)やPython(web3.py)での実装例も含まれています。エラーハンドリングやフォールバック値(デフォルト18)のログ出力に関するルールも定められており、様々なEVMチェーンや多様なトークン標準を扱う開発者にとって信頼性の高いツールです。

対応~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/affaan-m/everything-claude-code/tree/main/skills/evm-token-decimals

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このエージェントスキルを事前に読み込んだ状態で新しいチャットを開きます。

ドキュメント

EVMトークンの小数点

小数点(decimals)の不一致は、エラーを出さずに残高やUSD価値を桁違いにずらしてしまう、最も見落としやすいバグのひとつです。

使用すべき場面

  • Python、TypeScript、SolidityでERC-20残高を読み取る場合
  • オンチェーン残高から法定通貨価値を計算する場合
  • 複数のEVMチェーン間でトークン数量を比較する場合
  • ブリッジされたアセットを扱う場合
  • ポートフォリオトラッカー、ボット、アグリゲーターを構築する場合

動作の仕組み

ステーブルコインがどこでも同じ桁数を使っていると決めつけてはいけません。ランタイムでdecimals()をクエリし、(chain_id, token_address)でキャッシュし、桁数を考慮した安全な計算を使用します。

例

ランタイムで桁数をクエリ

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)

シンボル名から「通常6桁」と決めつけて 1_000_000 をハードコードしないでください。

チェーンとトークンでキャッシュ

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()

非標準トークンを防御的に処理

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

フォールバックをログに残し、可視化しておきます。古いトークンや非標準トークンは依然として存在します。

Solidityで18桁WADに正規化

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(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);
}

クイックオンチェーンチェック

cast call <token_address> "decimals()(uint8)" --rpc-url <rpc>

ルール

  • 常にランタイムでdecimals()をクエリすること
  • シンボルではなく、チェーンIDとトークンアドレスの組み合わせでキャッシュすること
  • Decimal、BigInt、または同等の正確な計算(floatは不可)を使用すること
  • ブリッジ後やラッパー変更後は桁数を再クエリすること
  • 比較や価格算出の前に、内部アカウンティングを一貫して正規化すること

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/claude-api

Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.

affaan-m/everything-claude-code

End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.

affaan-m/everything-claude-code

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/everything-claude-code-conventions

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/frontend-design

Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.

affaan-m/gget

gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics evidence logs.

affaan-m/literature-review

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

affaan-m/motion-ui

Production-ready UI motion system for React/Next.js. Use when implementing animations, transitions, or motion patterns.

affaan-m/project-guidelines-example

Example project-specific skill template based on a real production application.

affaan-m/pubmed-database

Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring.

affaan-m/scholar-evaluation

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.

affaan-m/uspto-database

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

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