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EVM-Token-Decimals

Verhindert stille Dezimalstellen-Konflikte auf EVM-Chains. Deckt Laufzeit-Dezimalabfrage, chain-bewusstes Caching, Präzisionsabweichungen bei gebrückten Token und sichere Normalisierung für Bots, Dashboards und DeFi-Tools ab.

Was ist EVM-Token-Decimals?

Diese Skill adressiert ein kritisches Problem in der EVM-Entwicklung: Stille Dezimalstellen-Konflikte, die zu um Größenordnungen falschen Balances oder USD-Werten führen können, ohne einen Fehler zu werfen. Sie leitet Entwickler an, `decimals()` zur Laufzeit abzufragen, anstatt feste Dezimalstellenwerte zu hardcoden. Zudem wird empfohlen, die Dezimalstellen pro (Chain-ID, Token-Adresse) zu cachen und Dezimalstellen-sichere Mathematik (z.B. mit Python's Decimal, BigInt) zu verwenden. Die Skill bietet praktische Codebeispiele in Python, TypeScript und Solidity, demonstriert defensives Fallback-Verhalten für seltsame Token und zeigt, wie man Beträge auf eine konsistente Basis (z.B. 18 Dezimalstellen für WAD) normalisiert – entscheidend für Bots, Dashboards, Portfolio-Tracker und DeFi-Aggregatoren, die Werte über mehrere EVM-Chains hinweg vergleichen.

Funktioniert mit~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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Dokumentation

EVM Token Decimals

Stille Dezimalstellen-Konflikte sind einer der einfachsten Wege, um Bilanzen oder USD-Werte auszuliefern, die um Größenordnungen daneben liegen, ohne einen Fehler zu werfen.

Wann verwenden

  • Einlesen von ERC-20-Bilanzen in Python, TypeScript oder Solidity
  • Berechnen von Fiat-Werten aus On-Chain-Bilanzen
  • Vergleichen von Token-Beträgen über mehrere EVM-Chains hinweg
  • Umgang mit gebrückten Assets
  • Erstellen von Portfolio-Trackern, Bots oder Aggregatoren

Wie es funktioniert

Gehen Sie nie davon aus, dass Stablecoins überall die gleiche Dezimalstellenanzahl verwenden. Fragen Sie decimals() zur Laufzeit ab, cachen Sie das Ergebnis pro (chain_id, token_address) und verwenden Sie dezimalsichere Mathematik für Wertberechnungen.

Beispiele

Dezimalstellen zur Laufzeit abfragen

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)

Hardcoden Sie nicht 1_000_000, nur weil ein Symbol woanders meist 6 Dezimalstellen hat.

Nach Chain und Token cachen

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()

Defensiv mit ungewöhnlichen Tokens umgehen

try:
    decimals = contract.functions.decimals().call()
except Exception:
    logging.warning(
        "decimals() reverting auf %s (Chain %s), Standardwert 18 verwendet",
        token_address,
        chain_id,
    )
    decimals = 18

Protokollieren Sie den Fallback und halten Sie ihn sichtbar. Alte oder nicht standardkonforme Tokens existieren weiterhin.

Auf 18-Dezimalstellen WAD in Solidity normalisieren

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 mit 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);
}

Schnelle On-Chain-Prüfung

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

Regeln

  • Fragen Sie decimals() immer zur Laufzeit ab
  • Cachen Sie nach Chain plus Token-Adresse, nicht nach Symbol
  • Verwenden Sie Decimal, BigInt oder gleichwertige exakte Mathematik, kein Float
  • Fragen Sie die Dezimalstellen nach einem Bridging oder Wrapper-Wechsel erneut ab
  • Normalisieren Sie interne Buchhaltung konsistent, bevor Sie Vergleiche oder Preisberechnungen durchführen

Individual skills in this repo

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

accessibility

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affaan-m/claude-api

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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

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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

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agent-eval

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agent-harness-construction

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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

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agent-introspection-debugging

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agent-payment-x402

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