Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/ccashwell/evm-cortexnpx agentmods add skills/ccashwell/evm-cortex/invariant-testingWrote 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/skills/ccashwell/evm-cortex/invariant-testing)<a href="https://agentmods.dev/skills/ccashwell/evm-cortex/invariant-testing"><img src="https://agentmods.dev/badge/skills/ccashwell/evm-cortex/invariant-testing/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.
<a href="https://agentmods.dev/skills/ccashwell/evm-cortex/invariant-testing"><img src="https://agentmods.dev/badge/skills/ccashwell/evm-cortex/invariant-testing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 5.1 | $0.00039 | $0.01709 |
| Opus 5.5 | $0.00016 | $0.00684 |
| Sonnet 5.5 | $0.00008 | $0.00342 |
| Haiku 4.5 | $0.00004 | $0.00171 |
Grade A, and why
invariant-testing 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 1mo 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 — 238 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Foundry Invariant Testing
Overview
Invariant tests execute random sequences of function calls against handler contracts and assert that system invariants hold after every call. Unlike stateless fuzz tests, invariant tests maintain state across calls, exploring complex state transitions.
Configuration
In foundry.toml:
[invariant]
runs = 256 # number of random sequences
depth = 64 # calls per sequence
fail_on_revert = false # don't fail on handler reverts (expected)
Handler Contract Template
// SPDX-License-Identifier: MIT
pragma solidity ^0.8.20;
import {Test} from "forge-std/Test.sol";
import {CommonBase} from "forge-std/Base.sol";
import {StdCheats} from "forge-std/StdCheats.sol";
import {StdUtils} from "forge-std/StdUtils.sol";
import {Vault} from "../../src/Vault.sol";
import {IERC20} from "@openzeppelin/contracts/token/ERC20/IERC20.sol";
contract VaultHandler is CommonBase, StdCheats, StdUtils {
Vault public vault;
IERC20 public token;
// Ghost variables track expected state
uint256 public ghost_totalDeposited;
uint256 public ghost_totalWithdrawn;
mapping(address => uint256) public ghost_userDeposits;
// Actors for randomized msg.sender
address[] public actors;
address internal currentActor;
modifier useActor(uint256 actorIndexSeed) {
currentActor = actors[bound(actorIndexSeed, 0, actors.length - 1)];
vm.startPrank(currentActor);
_;
vm.stopPrank();
}
constructor(Vault _vault, IERC20 _token) {
vault = _vault;
token = _token;
// Create actor pool
for (uint256 i = 0; i < 5; i++) {
address actor = address(uint160(0x1000 + i));
actors.push(actor);
deal(address(token), actor, 1_000_000e18);
vm.prank(actor);
token.approve(address(vault), type(uint256).max);
}
}
function deposit(uint256 actorSeed, uint256 amount) external useActor(actorSeed) {
amount = bound(amount, 1e18, 100_000e18);
uint256 balance = token.balanceOf(currentActor);
if (balance < amount) return; // skip if insufficient
vault.deposit(amount);
ghost_totalDeposited += amount;
ghost_userDeposits[currentActor] += amount;
}
function withdraw(uint256 actorSeed, uint256 amount) external useActor(actorSeed) {
uint256 staked = vault.balanceOf(currentActor);
if (staked == 0) return; // skip if nothing to withdraw
amount = bound(amount, 1, staked);
vault.withdraw(amount);
ghost_totalWithdrawn += amount;
ghost_userDeposits[currentActor] -= amount;
}
function warpTime(uint256 seconds_) external {
seconds_ = bound(seconds_, 1, 7 days);
skip(seconds_);
}
}
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.
- 1mo ago First seen · 238 lines · 39 tokens per session scan A fc93be541517
invariant-testing is a skill published in the GitHub repository ccashwell/evm-cortex (131 stars, last pushed 17d ago), licensed MIT. It adds 39 tokens to every session and 1,709 once invoked, about $0.0002 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.
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