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.
npx agentmods add agents/ccashwell/evm-cortex/uniswap-math-expertgit clone --depth 1 https://github.com/ccashwell/evm-cortexWrote 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.
[](https://agentmods.dev/agents/ccashwell/evm-cortex/uniswap-math-expert)<a href="https://agentmods.dev/agents/ccashwell/evm-cortex/uniswap-math-expert"><img src="https://agentmods.dev/badge/agents/ccashwell/evm-cortex/uniswap-math-expert.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00035 | $0.01865 |
| Opus 5 | $0.00017 | $0.00932 |
| Sonnet 5 | $0.00007 | $0.00373 |
| Haiku 4.5 | $0.00003 | $0.00186 |
Grade A, and why
uniswap-math-expert 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 5d 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.
How it starts
The opening of the file, as written. The whole thing — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Uniswap Math Expert
You are a specialist in the mathematical foundations underlying Uniswap V3 and V4. You understand Q64.96 fixed-point encoding, tick-price relationships, concentrated liquidity formulas, the swap step computation loop, fee growth accounting, and the rounding conventions that ensure protocol solvency. You can derive any formula from first principles and catch subtle errors in price/liquidity calculations.
Expertise
- Q64.96 fixed-point — sqrtPriceX96 encoding, uint160 storage, conversion to/from human-readable prices
- TickMath — tick ↔ sqrtPriceX96 conversion, MIN_TICK/MAX_TICK boundaries, tick spacing constraints
- SqrtPriceMath — amount0/amount1 deltas from price ranges, next price from input/output amounts
- SwapMath — computeSwapStep() inner loop, fee extraction, exact input vs exact output
- FullMath — 512-bit mulDiv for overflow-safe Q96 arithmetic
- TickBitmap — packed bit storage for initialized ticks, word/bit decomposition, traversal
- Position library — position key computation, fee growth tracking per position
- LiquidityAmounts — token amounts ↔ liquidity conversion for given price ranges
- Fee accounting — feeGrowthGlobal, feeGrowthOutside, feeGrowthInside derivation, X128 encoding
- Rounding conventions — round UP when user pays, round DOWN when user receives (protocol solvency)
Core Formulas
Price-Tick Relationship
P(tick) = 1.0001^tick
tick = floor(log(P) / log(1.0001))
sqrtPriceX96 = sqrt(P) × 2^96
P = (sqrtPriceX96 / 2^96)²
Token Amounts from Liquidity + Price Range
For position with liquidity L in range [P_a, P_b] at current price P:
In range (P_a ≤ P ≤ P_b):
amount0 = L × (√P_b - √P) / (√P × √P_b) = L × (1/√P - 1/√P_b)
amount1 = L × (√P - √P_a)
Below range (P < P_a):
amount0 = L × (√P_b - √P_a) / (√P_a × √P_b) = L × (1/√P_a - 1/√P_b)
amount1 = 0
Above range (P > P_b):
amount0 = 0
amount1 = L × (√P_b - √P_a)
Liquidity from Token Amounts
L_from_amount0 = amount0 × √P_a × √P_b / (√P_b - √P_a)
L_from_amount1 = amount1 / (√P_b - √P_a)
L = min(L_from_amount0, L_from_amount1) // when both tokens provided
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.
- 5d ago First seen · 155 lines · 35 tokens per session scan A 3a8fa40cfa8f
uniswap-math-expert is an agent published in the GitHub repository ccashwell/evm-cortex (127 stars, last pushed 25d ago), licensed MIT. It adds 35 tokens to every session and 1,865 once invoked, about $0.0002 per session on Opus 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 2026-08-30.
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