evm-token-decimals

evm-token-decimals is a skill for Claude Code, Codex from Jamkris/everything-gemini-code. It costs 44 tokens per session (940 once invoked), scanned A, a copy of evm-token-decimals, MIT.

A guide to handling token decimal settings on EVM blockchains, networks that run Ethereum-compatible smart contracts. It shows how to read each token’s precision at runtime and safely calculate balances and values.

In plain words
What is it for?
Use it when building wallet tools, portfolio trackers, dashboards, bots, aggregators, or DeFi software that reads ERC-20 balances or calculates fiat values.
Why use it?
It prevents balances and currency values from being wrong by factors of ten or more when tokens use different decimal settings across chains, including bridged assets.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when building wallet tools, portfolio trackers, dashboards, bots, aggregators, or DeFi software that reads ERC-20 balances or calculates fiat values.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jamkris/everything-gemini-code/evm-token-decimals
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Jamkris/everything-gemini-code --skill evm-token-decimals
Clone the repo
git clone --depth 1 https://github.com/Jamkris/everything-gemini-code

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for evm-token-decimals

README.md
[![agentmods](https://agentmods.dev/badge/skills/jamkris/everything-gemini-code/evm-token-decimals.svg)](https://agentmods.dev/skills/jamkris/everything-gemini-code/evm-token-decimals)
Your own site
<a href="https://agentmods.dev/skills/jamkris/everything-gemini-code/evm-token-decimals"><img src="https://agentmods.dev/badge/skills/jamkris/everything-gemini-code/evm-token-decimals.svg" alt="Measured on agentmods" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 940 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 91% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00044 $0.00940
Opus 5 $0.00022 $0.00470
Sonnet 5 $0.00009 $0.00188
Haiku 4.5 $0.00004 $0.00094

Measured 3d ago against content hash 96093b14a1e9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

evm-token-decimals scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

91% identical to evm-token-decimals — 28 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/evm-token-decimals/SKILL.md · 131 lines

How it starts

The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on 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

Read the full file on GitHub · 131 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 131 lines · 44 tokens per session scan A 96093b14a1e9

Subscribe to this mod's changes

evm-token-decimals is a skill published in the GitHub repository Jamkris/everything-gemini-code (87 stars, last pushed 3mo ago), licensed MIT. It adds 44 tokens to every session and 940 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to evm-token-decimals, differing in 28 lines, and is treated as a copy.

Related

Other skills, from other repositories

debugging

MUST USE for any real runtime debugging across ANY language or binary — crashes, silent failures, wrong responses, stuck processes, memory leaks, async misbehavior, unexplained timing, reverse engineering. Runs a hypothesis-driven loop: form ≥3 hypotheses, investigate in parallel, after 2 failed rounds spawn Oracles…

daeryundf2-prog/LAZYANTIGRAVITY · 244 tokens

report-bug

Create a high-signal bug issue or PR in the repo that owns the defect. Use this whenever the user asks to report, file, open, or triage a LazyAntigravity plugin, bundled component, skill, hook, MCP, installer, or packaging bug, especially when they need source-backed root cause, reproduction steps, fix guidance, and…

daeryundf2-prog/LAZYANTIGRAVITY · 79 tokens

debug-assistant

Systematic debugging assistant that helps identify and fix bugs through structured analysis, hypothesis testing, and root cause identification. Use when facing errors, unexpected behavior, or mysterious bugs.

richardcb/oh-my-gemini · 39 tokens

quick-fix

Apply a minimal, targeted fix to a specific bug or issue. Focused on speed and precision - locate the problem, make the smallest correct change, and verify. Not a planning workflow; use for small fixes, patches, and hotfixes.

richardcb/oh-my-gemini · 55 tokens

lcx-report-bug

Alias for report-bug. Create a high-signal bug issue or PR in the repo that owns the defect.

daeryundf2-prog/LAZYANTIGRAVITY · 29 tokens

bug-fixing

Group skill: Systematic bug fixing — diagnose, error analysis, trace logs, performance profiling, targeted fix, regression test, code review, and postmortem.

may215/antigravity-awesome-group-skills · 37 tokens