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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 arithm…

Install / Use

npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill auditing-foundry-smart-contract-security

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

98/100

Category

Security

Supported Platforms

Universal

Our assessment of auditing-foundry-smart-contract-security

auditing-foundry-smart-contract-security scores 98/100 on our quality scale, 30th of 461 Security skills we index (top 7%).

Its SKILL.md is 7.4 KB long, well organised into 19 sections with 6 code examples: a thorough specification that gives an agent plenty to work with.

With 33,340 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
29/30
Structure
20/20
Description
15/15
Adoption
19/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 25 days ago, so auditing-foundry-smart-contract-security is actively maintained.
  • It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

Review

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands (1 minor note below). An AI review judged it risky: The skill instructs the agent to install Foundry by piping a remote script into a shell (`curl -L https://foundry.paradigm.xyz | bash && foundryup`), which the rubric explicitly flags as risky for skill/rules files.

  • noteInstalls by piping a downloaded script into a shellline 77
    - **Foundry** installed (`forge`, `cast`, `anvil`): `curl -L https://foundry.paradigm.xyz | bash && foundryup`

AI review: risky

  • The skill instructs the agent to install Foundry by piping a remote script into a shell (`curl -L https://foundry.paradigm.xyz | bash && foundryup`), which the rubric explicitly flags as risky for skill/rules files.
  • The file is otherwise a legitimate defensive security skill for pre-deployment Solidity auditing (Slither, Aderyn, Mythril, fuzz/invariant tests, gitleaks, encrypted keystores) with no malicious commands or intent.

AI review by kimi-k2.7-code on 2026-09-25. Automated pattern scan on 2026-09-25. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

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Frequently asked questions

How do I install auditing-foundry-smart-contract-security?
Run npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill auditing-foundry-smart-contract-security. The install tabs above show the steps for each supported agent.
Which AI agents does auditing-foundry-smart-contract-security work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is auditing-foundry-smart-contract-security safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands (1 minor note below). An AI review judged it risky: The skill instructs the agent to install Foundry by piping a remote script into a shell (curl -L https://foundry.paradigm.xyz | bash && foundryup), which the rubric explicitly flags as risky for skill/rules files. It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is auditing-foundry-smart-contract-security still maintained?
The repository was last updated 25 days ago, so auditing-foundry-smart-contract-security is actively maintained.

name: auditing-foundry-smart-contract-security description: >- 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. domain: cybersecurity subdomain: blockchain-security tags:

  • solidity
  • foundry
  • forge
  • smart-contract
  • slither
  • aderyn
  • mythril
  • reentrancy
  • defi
  • web3
  • invariant-testing
  • audit version: "1.0" author: devredious license: Apache-2.0 based_on: mukul975/analyzing-ethereum-smart-contract-vulnerabilities swc_registry: https://swcregistry.io/ mitre_attack:
  • T1190
  • T1059

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 analysis — slither (90+ detectors) and aderyn (Cyfrin, Rust) scan the AST/IR in seconds for known anti-patterns.
  2. Symbolic execution — mythril (optional, slow) explores execution paths and SMT-solves for deep arithmetic/reentrancy bugs.
  3. Property-based testing — forge 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

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)

# 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:

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

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

# 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

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

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.

Related Skills

View on GitHub
GitHub Stars33.3k
CategorySecurity
Updated25d ago
Forks4.0k

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions