uniswap-math

uniswap-math is a skill for Claude Code, Codex from ccashwell/evm-cortex. It costs 64 tokens per session (8,851 once invoked), scanned A, original, MIT.

A guide to the mathematics behind Uniswap's concentrated-liquidity pools. It explains price ticks, liquidity formulas, square-root prices, fixed-point numbers, and the calculations used during swaps.

In plain words
What is it for?
Use it when implementing or reviewing Uniswap pricing, tick calculations, liquidity amounts, swap formulas, or fixed-point arithmetic.
Why use it?
It helps developers calculate prices and token amounts correctly while avoiding precision and decimal-conversion errors.

Skill for Claude CodeCodex

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

Good fit Use it when implementing or reviewing Uniswap pricing, tick calculations, liquidity amounts, swap formulas, or fixed-point arithmetic.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ccashwell/evm-cortex/uniswap-math
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 ccashwell/evm-cortex --skill uniswap-math
Clone the repo
git clone --depth 1 https://github.com/ccashwell/evm-cortex

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 uniswap-math

README.md
[![agentmods](https://agentmods.dev/badge/skills/ccashwell/evm-cortex/uniswap-math/github.svg)](https://agentmods.dev/skills/ccashwell/evm-cortex/uniswap-math)
Your own site
<a href="https://agentmods.dev/skills/ccashwell/evm-cortex/uniswap-math"><img src="https://agentmods.dev/badge/skills/ccashwell/evm-cortex/uniswap-math/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for uniswap-math

Your own site · 80×15
<a href="https://agentmods.dev/skills/ccashwell/evm-cortex/uniswap-math"><img src="https://agentmods.dev/badge/skills/ccashwell/evm-cortex/uniswap-math.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 8,851 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found 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 $0.00064 $0.08851
Opus 5.5 $0.00026 $0.03540
Sonnet 5.5 $0.00013 $0.01770
Haiku 4.5 $0.00006 $0.00885

Measured 17d ago against content hash 74583454cd00, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

uniswap-math 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 17d 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.

skills/uniswap-math/SKILL.md · 943 lines

How it starts

The opening of the file, as written. The whole thing — 943 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Uniswap Concentrated Liquidity Math

Q64.96 Fixed-Point Arithmetic

Uniswap V3/V4 stores prices as Q64.96 fixed-point numbers representing the square root of the price ratio. This encoding fits in uint160 and enables efficient swap math without division.

sqrtPriceX96 = √(price) × 2⁹⁶
  • 64 bits for the integer part, 96 bits for the fractional part
  • Stored as uint160 — fits alongside int24 tick and uint128 liquidity in the pool's Slot0
  • Price of token1 in terms of token0: price = (sqrtPriceX96 / 2⁹⁶)²
  • Inverse conversion: sqrtPriceX96 = √(price) × 2⁹⁶

Why Store √P Instead of P

  1. The core swap formulas only need √P, never P directly
  2. amount1 = L × Δ√P is a simple multiplication — no square root at runtime
  3. amount0 = L × Δ(1/√P) avoids computing reciprocals of prices
  4. Avoids the precision loss of squaring and rooting during swaps

Decimal Normalization

Prices are always in raw token units — you must account for decimals manually.

token0 = WETH (18 decimals)
token1 = USDC (6 decimals)

Human-readable price: 1 ETH = 3000 USDC
Raw price (token1/token0) = 3000 × 10⁶ / 10¹⁸ = 3000 × 10⁻¹²

sqrtPrice = √(3000 × 10⁻¹²) = √(3 × 10⁻⁹) ≈ 5.47722558 × 10⁻⁵
sqrtPriceX96 = 5.47722558 × 10⁻⁵ × 2⁹⁶ ≈ 4_339_505_179_874_779_489_431_521

For a pair where both tokens have 18 decimals (e.g., WETH/DAI at price 3000):

Raw price = 3000 (decimals cancel)
sqrtPrice = √3000 ≈ 54.7722558
sqrtPriceX96 = 54.7722558 × 2⁹⁶ ≈ 4_339_505_179_874_779_489_431_521_786_241

Converting sqrtPriceX96 to Human Price

// In Solidity — use FullMath to avoid overflow
uint256 priceX192 = FullMath.mulDiv(sqrtPriceX96, sqrtPriceX96, 1);
// priceX192 is price * 2^192, divide by 2^192 to get raw price
// For display: rawPrice * 10^(decimals0 - decimals1) = human price
# In Python (offchain)
def sqrtPriceX96_to_price(sqrtPriceX96, decimals0, decimals1):
    price = (sqrtPriceX96 / 2**96) ** 2
    adjusted = price * 10 ** (decimals0 - decimals1)
    return adjusted

# ETH/USDC: sqrtPriceX96 = 4_339_505_179_874_779_489_431_521
sqrtPriceX96_to_price(4_339_505_179_874_779_489_431_521, 18, 6)
# ≈ 3000.0

Read the full file on GitHub · 943 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. 17d ago Changed 74583454cd00
  2. 1mo ago First seen · 943 lines · 64 tokens per session scan A b59ffd246cb1

Subscribe to this mod's changes

uniswap-math is a skill published in the GitHub repository ccashwell/evm-cortex (131 stars, last pushed 17d ago), licensed MIT. It adds 64 tokens to every session and 8,851 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.