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Auditing Foundry Smart Contract Security

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tradecatlabs
auditing-foundry-smart-contract-security

Pre-deployment security audit of Solidity smart contracts in a Foundry project. Combines static analysis (Slither, Aderyn), symbolic execution (Mythril), and property-based testing (forge fuzz + invariant tests with handlers) to catch reentrancy, access-control, oracle/price manipulation, and arithmetic bugs BEFORE deploying to an EVM chain. Also enforces key hygiene (no plaintext private keys, encrypted cast keystore) and a secure deploy workflow. Use when writing, reviewing, testing, or deploying Solidity/Foundry contracts, building a dApp, or working with forge/cast/anvil, MetaMask, or Web3/DeFi code.

Overview

Publishertradecatlabs
Repositoryvibe-coding-cn
Skill nameauditing-foundry-smart-contract-security
Stars
16.3K
Forks
1.6K
Bundled files
4
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by tradecatlabs on GitHub. Read the source before you install it.

Installation

Install the Auditing Foundry Smart Contract Security AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/tradecatlabs/vibe-coding-cn.git /tmp/vibe-coding-cn
mkdir -p .claude/skills
cp -r /tmp/vibe-coding-cn/research/vibe-cybersecurity-cn/skills/smart-contract-audit/auditing-foundry-smart-contract-security .claude/skills/auditing-foundry-smart-contract-security
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Auditing Foundry Smart Contract Security in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Auditing Foundry Smart Contract Security on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Auditing Foundry Smart Contract Security is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Auditing Foundry Smart Contract Security

Overview

Deployed smart contracts are immutable and custody real funds, so a bug shipped to mainnet cannot be patched — it can only be exploited. Most catastrophic DeFi losses come from a small set of recurring classes: reentrancy, broken access control, oracle/price manipulation, and unchecked arithmetic or external calls.

This skill runs a defense-in-depth, pre-deployment audit of a Foundry project, layering four independent techniques that each catch what the others miss:

  1. Static analysisslither (90+ detectors) and aderyn (Cyfrin, Rust) scan the AST/IR in seconds for known anti-patterns.
  2. Symbolic executionmythril (optional, slow) explores execution paths and SMT-solves for deep arithmetic/reentrancy bugs.
  3. Property-based testingforge test with fuzzing (testFuzz_*) and invariant tests (invariant_* + handler contracts with ghost variables) proves protocol-level properties hold across millions of random sequences.
  4. Manual review + key hygiene — a structured checklist (see references/vulnerability-checklist.md) and a secrets/keystore audit so no private key ever lives in plaintext and deployment goes through an encrypted cast keystore (see references/secure-deployment-and-keys.md).

The skill is dev-side and pre-deployment — it is run by the engineer building the contract, not by a SOC after an incident. Findings gate the deploy: any high/critical static finding, failing test, leaked key, or low coverage = FAIL.

When to Use

  • Before deploying any Solidity contract to a testnet or mainnet EVM chain.
  • When writing or reviewing a Foundry project (foundry.toml, src/, test/, script/).
  • When a contract handles value: tokens (ERC-20/721/1155), vaults, staking, AMMs, bridges, governance.
  • When adding fuzz or invariant tests, or when coverage of value-moving functions is unknown.
  • When wiring deployment scripts — to verify keys are in an encrypted keystore, not .env plaintext.
  • When integrating a price oracle, external call, delegatecall, or upgradeable proxy.
  • When triaging a Slither/Aderyn report and needing to separate real bugs from false positives.

Prerequisites

  • Foundry installed (forge, cast, anvil): curl -L https://foundry.paradigm.xyz | bash && foundryup
  • Slither + solc: pip install slither-analyzer and solc-select install <ver> && solc-select use <ver>
  • Aderyn (recommended): cargo install aderyn (or npm i -g @cyfrin/aderyn)
  • Mythril (optional, slow symbolic exec): pip install mythril
  • gitleaks (key-leak scan): see the companion implementing-secret-scanning-with-gitleaks skill
  • A Foundry project that compiles (forge build succeeds) — analyzers need build artifacts.
  • Solidity ^0.8.x is assumed (built-in overflow checks); pre-0.8 contracts need extra SafeMath review.

Install the Python tools in a virtualenv (recommended on externally-managed distros). Never run analysis against untrusted contract source on a machine with funded wallets unlocked.

Steps

Step 1: Build and sanity-check the project

bash
forge build                    # analyzers require fresh artifacts
forge fmt --check              # style gate (optional)
cat foundry.toml               # note solc version, optimizer, remappings, evm_version

Step 2: Static analysis (fast, run every time)

bash
# Slither — full project (uses foundry.toml + remappings automatically)
slither . --json slither-report.json

# Aderyn — Cyfrin Rust analyzer, complementary detectors
aderyn . -o aderyn-report.json

Or run the bundled orchestrator that runs both, deduplicates, and gates the result:

bash
python3 scripts/agent.py --project . --output audit-report.json

Step 3: Symbolic execution on critical contracts (optional, slow)

bash
# Only on the highest-value contract(s) — Mythril is path-explosive
myth analyze src/Vault.sol --solc-json mythril.config.json --execution-timeout 300 -o json
# or: python3 scripts/agent.py --project . --mythril src/Vault.sol

Step 4: Property-based testing — fuzz + invariants

bash
forge test -vvv                                  # unit + fuzz tests
forge coverage --report summary                  # coverage of value-moving code
forge test --match-test invariant_ -vvv          # invariant suite (handler-based)

Every value-moving contract should have invariant tests with a handler (bounded inputs, ghost variables, targetContract(handler)) — not just unit tests. See references/api-reference.md for the handler pattern, and write a test_RevertWhen_* (with vm.expectRevert) for each access-control guard.

Step 5: Manual review against the checklist

Walk references/vulnerability-checklist.md for every contract: reentrancy (checks-effects-interactions / nonReentrant), access control, oracle manipulation, delegatecall/proxy storage layout, unchecked return values, tx.origin, weak randomness, DoS, front-running/MEV, and ERC-specific pitfalls (approve race, fee-on-transfer, rebasing).

Step 6: Key hygiene & secure deploy

bash
gitleaks detect --no-banner            # no private keys / mnemonics / .env committed
git ls-files | grep -E '\.env$|keystore' && echo "WARN: secrets tracked by git"

# Import the deploy key ONCE into an encrypted keystore — never a plaintext PRIVATE_KEY env
cast wallet import deployer --interactive

# Deploy via the keystore account (testnet first), simulate before --broadcast
forge script script/Deploy.s.sol --account deployer --rpc-url <testnet> --broadcast --verify

See references/secure-deployment-and-keys.md for the full hardening rules (MetaMask hygiene, hardware wallet for mainnet, RPC trust, post-deploy verification).

Step 7: Triage and report

Combine Slither + Aderyn + Mythril + test results, deduplicate by (file, line), drop confirmed false positives, rank by exploitability × financial impact, and map each to its SWC id. The orchestrator emits audit-report.json with a PASS/FAIL gate.

Expected Output

A JSON audit report listing findings with SWC identifiers, severity, tool source, affected contract/function/line, and remediation; plus the test/coverage summary and a single PASS / FAIL deploy gate. FAIL on any high/critical static finding, failing test, leaked secret, or coverage below the configured threshold on value-moving code.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Auditing Foundry Smart Contract Security AI skill do?

Pre-deployment security audit of Solidity smart contracts in a Foundry project. Combines static analysis (Slither, Aderyn), symbolic execution (Mythril), and property-based testing (forge fuzz + invariant tests with handlers) to catch reentrancy, access-control, oracle/price manipulation, and arithmetic bugs BEFORE deploying to an EVM chain. Also enforces key hygiene (no plaintext private keys, encrypted cast keystore) and a secure deploy workflow. Use when writing, reviewing, testing, or deploying Solidity/Foundry contracts, building a dApp, or working with forge/cast/anvil, MetaMask, or W...

Why use Auditing Foundry Smart Contract Security on TypingMind?

Because you install it once and use it with any model. Auditing Foundry Smart Contract Security is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Auditing Foundry Smart Contract Security in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tradecatlabs/vibe-coding-cn/tree/develop/research/vibe-cybersecurity-cn/skills/smart-contract-audit/auditing-foundry-smart-contract-security. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Auditing Foundry Smart Contract Security?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Auditing Foundry Smart Contract Security?

As many as you like. As long as a model supports skills, you can use Auditing Foundry Smart Contract Security with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Auditing Foundry Smart Contract Security AI skill free?

Yes. It is published on GitHub by tradecatlabs under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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