invariant-testing

invariant-testing is a skill for Claude Code, Codex from ccashwell/evm-cortex. It costs 39 tokens per session (1,709 once invoked), scanned A, original, MIT.

A guide to Foundry invariant testing, which checks that important rules remain true after many random sequences of contract calls. Foundry is a toolkit for testing Solidity smart contracts.

In plain words
What is it for?
Use it to create handler contracts, stateful fuzz tests, ghost variables, and configuration for testing DeFi protocol invariants.
Why use it?
It can uncover failures caused by combinations of actions that a few hand-written test cases may miss.

Skill for Claude CodeCodex

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

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is import {Vault} from "../../src/Vault.sol";.

Good fit Use it to create handler contracts, stateful fuzz tests, ghost variables, and configuration for testing DeFi protocol invariants.

Compare 6 skills from other repositories ↓
Install

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.

Clone the repo
git clone --depth 1 https://github.com/ccashwell/evm-cortex
agentmods
npx agentmods add skills/ccashwell/evm-cortex/invariant-testing

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 invariant-testing

README.md
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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 invariant-testing

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Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,709 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 $0.00039 $0.01709
Opus 5.5 $0.00016 $0.00684
Sonnet 5.5 $0.00008 $0.00342
Haiku 4.5 $0.00004 $0.00171

Measured 1mo ago against content hash fc93be541517, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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.

skills/invariant-testing/SKILL.md · 238 lines

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_);
    }
}

Read the full file on GitHub · 238 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. 1mo ago First seen · 238 lines · 39 tokens per session scan A fc93be541517

Subscribe to this mod's changes

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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