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EVM 代幣小數位數

防止跨 EVM 鏈因小數位數不匹配而導致的靜默錯誤。涵蓋運行時小數位查詢、鏈感知快取、跨鏈代幣精度漂移以及機器人、儀表板和 DeFi 工具的安全標準化。在處理跨 EVM 鏈的代幣數量,或當餘額、價格、轉帳金額出現數量級偏差時使用。

EVM 代幣小數位數 是什麼?

這項技能旨在解決 EVM 生態系統中一個常見但危險的問題:代幣小數位數不匹配。許多開發者錯誤地假設同種代幣(如 USDC)在不同鏈上使用相同的小數位數,導致餘額、價格和美元價值出現數倍甚至更多的偏差,且由於不會報錯,問題難以察覺。該技能提供了一種安全、高效的模式:始終在運行時通過調用 `decimals()` 方法查詢代幣的小數位數,並根據 `(chain_id, token_address)` 進行快取,避免重複查詢。技能覆蓋了多種主流開發語言和框架,包括 Python (web3.py)、TypeScript (ethers.js) 和 Solidity,並提供了處理行為異常的代幣(如 `decimals()` 呼叫失敗)的防禦性程式碼範例。它還強調了使用 `Decimal` 或 `BigInt` 等精確數學運算的重要性,並建議在跨鏈橋接或代幣包裝操作後重新查詢小數位數。總之,這項技能是任何處理跨鏈 ERC-20 代幣資料的 Bot、儀表板或 DeFi 應用的必備工具,能有效防止因小數位數假設錯誤而導致的重大邏輯錯誤。

相容平台~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/affaan-m/ECC/tree/main/skills/evm-token-decimals

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開啟一個已預先載入此 Agent Skill 的新對話。

說明文件

EVM 代幣小數位數 是做什麼的?

靜默的小數位數不匹配是最容易導致餘額或美元價值出現數量級偏差,卻又不會拋出錯誤的問題之一。

使用時機

  • 在 Python、TypeScript 或 Solidity 中讀取 ERC-20 餘額
  • 根據鏈上餘額計算法幣價值
  • 比較跨越多條 EVM 鏈的代幣數量
  • 處理跨鏈橋接資產
  • 構建投資組合追蹤器、機器人或聚合器

工作原理

切勿假設穩定幣在各處都使用相同的小數位數。應在運行時查詢 decimals(),按 (chain_id, token_address) 進行快取,並使用小數安全運算進行數值計算。

範例

在運行時查詢小數位數

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)

不要因為某個代幣通常有 6 位小數,就硬編碼 1_000_000。

按鏈和代幣進行快取

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()

防禦性處理異常代幣

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

記錄這個回退行為並讓它保持可見。老舊或非標準的代幣依然存在。

在 Solidity 中標準化為 18 位小數的 WAD

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);
}

使用 ethers 的 TypeScript

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);
}

快速鏈上查詢

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

規則

  • 始終在運行時查詢 decimals()
  • 按鏈加代幣地址進行快取,而不是按代幣符號
  • 使用 Decimal、BigInt 或等效的精確數學運算,不要使用浮點數
  • 在跨鏈橋接或包裝器變更後重新查詢小數位數
  • 在比較或定價之前,始終一致地標準化內部記賬

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/content-engine

Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.

affaan-m/ECC

Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.

affaan-m/fal-ai-media

Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.

affaan-m/manim-video

日本語翻訳:このファイルは manim-video 用の日本語翻訳が必要です

affaan-m/remotion-video-creation

Remotion のベストプラクティス - React で動画を作成する。3D、アニメーション、音声、字幕、チャート、トランジションなどをカバーするドメイン固有の29のルール。

affaan-m/video-editing

AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.

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.

agent-self-evaluation

Use after completing any non-trivial task. The agent self-rates its output on 5 axes — accuracy, completeness, clarity, actionability, conciseness — with concrete evidence per criterion. Produces a structured 1-5 scorecard with specific improvement suggestions.

agent-sort

Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.

ai-first-engineering

Engineering operating model for teams where AI agents generate a large share of implementation output. Use when setting team process, review gates, or ownership rules for a codebase largely written by agents.

ai-regression-testing

Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code. Use when adding regression coverage to AI-assisted code, or when the same model both wrote and reviewed a change.

android-clean-architecture

Clean Architecture patterns for Android and Kotlin Multiplatform projects — module structure, dependency rules, UseCases, Repositories, and data layer patterns. Use when structuring modules, layers, or data flow in an Android or KMP project.

angular-developer

Generates Angular code and provides architectural guidance. Trigger when creating projects, components, or services, or for best practices on reactivity (signals, linkedSignal, resource), forms, dependency injection, routing, SSR, accessibility (ARIA), animations, styling (component styles, Tailwind CSS), testing, or CLI tooling.

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