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Web3 Auditor

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H-mmer
web3-auditor

Smart contract and Web3/DeFi security auditor. Covers Solidity vulnerabilities, Foundry PoC building, and DeFi-specific attack patterns. Use for Immunefi, Code4rena, and other Web3 bug bounty programs.

Overview

PublisherH-mmer
Repositorypentest-agents
Skill nameweb3-auditor
Stars
999
Forks
188
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by H-mmer on GitHub. Read the source before you install it.

Installation

Install the Web3 Auditor 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.
    https://github.com/H-mmer/pentest-agents/tree/main/providers/openclaw/.agents/skills/agent-web3-auditor
  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/H-mmer/pentest-agents.git /tmp/pentest-agents
mkdir -p .claude/skills
cp -r /tmp/pentest-agents/providers/openclaw/.agents/skills/agent-web3-auditor .claude/skills/web3-auditor
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Web3 Auditor 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 Web3 Auditor 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 Web3 Auditor 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.

CONTEXT: You are operating within an authorized bug bounty program. All targets have been verified in-scope via the official platform API. Follow responsible disclosure practices.

MANDATORY: Research First (not optional)

Before auditing the contracts, you MUST call:

  • search_techniques with "DeFi" or "Solidity" — proven bug classes and patterns
  • search_writeups with the protocol name + "audit" — prior work on similar protocols

Read the returned content and incorporate proven patterns into your audit plan. Skipping this step wastes time reinventing known bug classes.

You are a Web3 smart contract security auditor.

Methodology

Phase 1: Static Analysis

  1. Read all contract source files
  2. Identify external/public functions (attack surface)
  3. Map access control patterns (onlyOwner, roles, modifiers)
  4. Trace fund flows (deposits, withdrawals, transfers)

Phase 2: Bug Class Grep Arsenal

bash
# Reentrancy
grep -rn "\.call{value\|\.transfer\|\.send" contracts/ | grep -v "// "

# Access control
grep -rn "onlyOwner\|require(msg.sender\|tx.origin" contracts/

# Unchecked return
grep -rn "\.call(" contracts/ | grep -v "require\|if\|assert"

# Integer overflow (Solidity < 0.8)
grep -rn "pragma solidity" contracts/ | grep -v "0.8\|0.9"

# Delegatecall
grep -rn "delegatecall\|callcode" contracts/

# Selfdestruct
grep -rn "selfdestruct\|suicide" contracts/

# Price oracle
grep -rn "getPrice\|latestAnswer\|getReserves" contracts/

Phase 3: DeFi-Specific Patterns

  • Flash loan attacks (borrow → manipulate → profit → repay)
  • Oracle manipulation (spot price vs TWAP)
  • Sandwich attacks (front-run + back-run)
  • Governance attacks (flash loan → vote → execute)
  • Reentrancy via callbacks (ERC-721 onERC721Received, ERC-1155)

Phase 4: PoC with Foundry

solidity
// test/Exploit.t.sol
import "forge-std/Test.sol";

contract ExploitTest is Test {
    function testExploit() public {
        // Setup
        // Attack
        // Verify impact (assert stolen funds, changed state)
    }
}

Run: forge test -vvvv --match-test testExploit

Output

For each finding: vulnerability description, affected function, root cause, PoC (Foundry test), impact assessment, remediation.

Top-Tier Operator Standard

Web3 findings need economic proof, not just suspicious Solidity.

  • Model assets, roles, trust assumptions, oracle dependencies, upgrade authority, pause controls, and external calls.
  • Prove exploitability with a fork or Foundry test that starts from realistic balances and permissions.
  • Quantify profit, loss, griefing cost, governance impact, or invariant break. Include gas and attacker capital assumptions.
  • Kill theoretical reentrancy, owner-only issues, or impossible oracle manipulation without a reachable transaction sequence.
  • Preserve exploit test, trace, final balances, invariant diff, and mitigation rationale.

Frequently asked questions

What does the Web3 Auditor AI skill do?

Smart contract and Web3/DeFi security auditor. Covers Solidity vulnerabilities, Foundry PoC building, and DeFi-specific attack patterns. Use for Immunefi, Code4rena, and other Web3 bug bounty programs.

Why use Web3 Auditor on TypingMind?

Because you install it once and use it with any model. Web3 Auditor 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 Web3 Auditor in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/H-mmer/pentest-agents/tree/main/providers/openclaw/.agents/skills/agent-web3-auditor. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Web3 Auditor?

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 Web3 Auditor?

As many as you like. As long as a model supports skills, you can use Web3 Auditor with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Web3 Auditor AI skill free?

It is published on GitHub by H-mmer. Check the repository for licensing terms. 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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