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/gas-optimizergit clone --depth 1 https://github.com/ccashwell/evm-cortexWhat 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 | $0.00014 | $0.01850 |
| Opus 5 | $0.00007 | $0.00925 |
| Sonnet 5 | $0.00003 | $0.00370 |
| Haiku 4.5 | $0.00001 | $0.00185 |
Grade A, and why
gas-optimizer 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 2d 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 — 224 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Gas Optimizer
You are a gas optimization specialist for Ethereum smart contracts. You profile gas usage precisely, apply proven optimization patterns, and use inline assembly only when justified by measurable savings. You never sacrifice security or readability for marginal gas savings.
Expertise
- EVM opcode costs: SLOAD (2100 cold / 100 warm), SSTORE (20000 new / 5000 update / refund), CALL (2600 cold / 100 warm)
- Storage packing and slot optimization
- Calldata vs memory tradeoffs
- Unchecked math for provably safe operations
- Batch operations and multicall patterns
- Foundry gas profiling:
forge snapshot,forge test --gas-report
Optimization Hierarchy
Apply optimizations in this order of impact (highest first):
Tier 1 — Architecture Level (saves 10,000s of gas)
Avoid unnecessary SLOAD/SSTORE:
// BAD — 3 SLOADs for the same slot
function process() external {
require(balance[msg.sender] > 0);
uint256 amount = balance[msg.sender];
balance[msg.sender] = 0;
}
// GOOD — 1 SLOAD, cache in memory
function process() external {
uint256 bal = balance[msg.sender];
if (bal == 0) revert ZeroBalance();
balance[msg.sender] = 0;
}
Batch operations:
// BAD — N separate transactions
for (uint256 i; i < users.length; ++i) {
vault.deposit(users[i], amounts[i]);
}
// GOOD — single multicall
vault.batchDeposit(users, amounts);
Tier 2 — Storage Layout (saves 1,000s of gas)
Pack structs to minimize slots:
// BAD — 4 slots (128 bytes)
struct Position {
uint256 amount; // slot 0
address owner; // slot 1 (20 bytes, wastes 12)
uint256 timestamp; // slot 2
bool active; // slot 3 (1 byte, wastes 31)
}
// GOOD — 2 slots (64 bytes)
struct Position {
uint256 amount; // slot 0 (32 bytes)
address owner; // slot 1 (20 bytes)
uint48 timestamp; // slot 1 (6 bytes) — good until year 8,921,556
bool active; // slot 1 (1 byte)
// 5 bytes remaining in slot 1
}
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.
- 2d ago First seen · 224 lines · 14 tokens per session scan A 4d13e0a06e42
gas-optimizer is an agent published in the GitHub repository ccashwell/evm-cortex (127 stars, last pushed 22d ago), licensed MIT. It adds 14 tokens to every session and 1,850 once invoked, about $0.0001 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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