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Token Integration Analyzer

OrganizationPopular
trailofbits
token-integration-analyzer

Token integration and implementation analyzer based on Trail of Bits' token integration checklist. Analyzes token implementations for ERC20/ERC721 conformity, checks for 20+ weird token patterns, assesses contract composition and owner privileges, performs on-chain scarcity analysis, and evaluates how protocols handle non-standard tokens. Use when integrating or accepting arbitrary ERC20/ERC721 tokens, auditing a token implementation for standards conformity, or assessing risk from weird tokens such as fee-on-transfer, rebasing, missing return values, or blocklists.

Overview

Publishertrailofbits
Repositoryskills
Skill nametoken-integration-analyzer
Stars
7.1K
Forks
611
Bundled files
4
LicenseCC-BY-SA-4.0
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 trailofbits on GitHub. Read the source before you install it.

Installation

Install the Token Integration Analyzer 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/trailofbits/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/plugins/building-secure-contracts/skills/token-integration-analyzer .claude/skills/token-integration-analyzer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Token Integration Analyzer 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 Token Integration Analyzer 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 Token Integration Analyzer 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.

Token Integration Analyzer

Purpose

Systematically analyzes the codebase for token-related security concerns using Trail of Bits' token integration checklist:

  1. Token Implementations: Analyze if your token follows ERC20/ERC721 standards or has non-standard behavior
  2. Token Integrations: Analyze how your protocol handles arbitrary tokens, including weird/non-standard tokens
  3. On-chain Analysis: Query deployed contracts for scarcity, distribution, and configuration
  4. Security Assessment: Identify risks from 20+ known weird token patterns

Framework: Building Secure Contracts - Token Integration Checklist + Weird ERC20 Database


How This Works

Phase 1: Context Discovery

Determines analysis context:

  • Token implementation: Are you building a token contract?
  • Token integration: Does your protocol interact with external tokens?
  • Platform: Ethereum, other EVM chains, or different platform?
  • Token types: ERC20, ERC721, or both?

Phase 2: Slither Analysis (if Solidity)

For Solidity projects, I'll help run:

  • slither-check-erc - ERC conformity checks
  • slither --print human-summary - Complexity and upgrade analysis
  • slither --print contract-summary - Function analysis
  • slither-prop - Property generation for testing

Phase 3: Code Analysis

Analyzes:

  • Contract composition and complexity
  • Owner privileges and centralization risks
  • ERC20/ERC721 conformity
  • Known weird token patterns
  • Integration safety patterns

Phase 4: On-chain Analysis (if deployed)

If you provide a contract address, I'll query:

  • Token scarcity and distribution
  • Total supply and holder concentration
  • Exchange listings
  • On-chain configuration

Phase 5: Risk Assessment

Provides:

  • Identified vulnerabilities
  • Non-standard behaviors
  • Integration risks
  • Prioritized recommendations

Assessment Categories

I check 10 comprehensive categories covering all aspects of token security. For detailed criteria, patterns, and checklists, see ASSESSMENT_CATEGORIES.md.

Quick Reference:

  1. General Considerations - Security reviews, team transparency, security contacts
  2. Contract Composition - Complexity analysis, SafeMath usage, function count, entry points
  3. Owner Privileges - Upgradeability, minting, pausability, blacklisting, team accountability
  4. ERC20 Conformity - Return values, metadata, decimals, race conditions, Slither checks
  5. ERC20 Extension Risks - External calls/hooks, transfer fees, rebasing/yield-bearing tokens
  6. Token Scarcity Analysis - Supply distribution, holder concentration, exchange distribution, flash loan/mint risks
  7. Weird ERC20 Patterns (24 patterns including):
    • Reentrant calls (ERC777 hooks)
    • Missing return values (USDT, BNB, OMG)
    • Fee on transfer (STA, PAXG)
    • Balance modifications outside transfers (Ampleforth, Compound)
    • Upgradable tokens (USDC, USDT)
    • Flash mintable (DAI)
    • Blocklists (USDC, USDT)
    • Pausable tokens (BNB, ZIL)
    • Approval race protections (USDT, KNC)
    • Revert on approval/transfer to zero address
    • Revert on zero value approvals/transfers
    • Multiple token addresses
    • Low decimals (USDC: 6, Gemini: 2)
    • High decimals (YAM-V2: 24)
    • transferFrom with src == msg.sender
    • Non-string metadata (MKR)
    • No revert on failure (ZRX, EURS)
    • Revert on large approvals (UNI, COMP)
    • Code injection via token name
    • Unusual permit function (DAI, RAI, GLM)
    • Transfer less than amount (cUSDCv3)
    • ERC-20 native currency representation (Celo, Polygon, zkSync)
    • And more...
  8. Token Integration Safety - Safe transfer patterns, balance verification, allowlists, wrappers, defensive patterns
  9. ERC721 Conformity - Transfer to 0x0, safeTransferFrom, metadata, ownerOf, approval clearing, token ID immutability
  10. ERC721 Common Risks - onERC721Received reentrancy, safe minting, burning approval clearing

Example Output

When analysis is complete, you'll receive a comprehensive report structured as follows:

=== TOKEN INTEGRATION ANALYSIS REPORT ===

Project: MultiToken DEX
Token Analyzed: Custom Reward Token + Integration Safety
Platform: Solidity 0.8.20
Analysis Date: March 15, 2024

---

## EXECUTIVE SUMMARY

Token Type: ERC20 Implementation + Protocol Integrating External Tokens
Overall Risk Level: MEDIUM
Critical Issues: 2
High Issues: 3
Medium Issues: 4

**Top Concerns:**
⚠ Fee-on-transfer tokens not handled correctly
⚠ No validation for missing return values (USDT compatibility)
⚠ Owner can mint unlimited tokens without cap

**Recommendation:** Address critical/high issues before mainnet launch.

---

## 1. GENERAL CONSIDERATIONS

✓ Contract audited by CertiK (June 2023)
✓ Team contactable via security@project.com
✗ No security mailing list for critical announcements

**Risk:** Users won't be notified of critical issues
**Action:** Set up security@project.com mailing list

---

## 2. CONTRACT COMPOSITION

### Complexity Analysis

**Slither human-summary Results:**
- 456 lines of code
- Cyclomatic complexity: Average 6, Max 14 (transferWithFee())
- 12 functions, 8 state variables
- Inheritance depth: 3 (moderate)

✓ Contract complexity is reasonable
⚠ transferWithFee() complexity high (14) - consider splitting

### SafeMath Usage

✓ Using Solidity 0.8.20 (built-in overflow protection)
✓ No unchecked blocks found
✓ All arithmetic operations protected

### Non-Token Functions

**Functions Beyond ERC20:**
- setFeeCollector() - Admin function ✓
- setTransferFee() - Admin function ✓
- withdrawFees() - Admin function ✓
- pause()/unpause() - Emergency functions ✓

⚠ 4 non-token functions (acceptable but adds complexity)

### Address Entry Points

✓ Single contract address
✓ No proxy with multiple entry points
✓ No token migration creating address confusion

**Status:** PASS

---

## 3. OWNER PRIVILEGES

### Upgradeability

⚠ Contract uses TransparentUpgradeableProxy
**Risk:** Owner can change contract logic at any time

**Current Implementation:**
- ProxyAdmin: 0x1234... (2/3 multisig) ✓
- Timelock: None ✗

**Recommendation:** Add 48-hour timelock to all upgrades

### Minting Capabilities

❌ CRITICAL: Unlimited minting
File: contracts/RewardToken.sol:89
```solidity
function mint(address to, uint256 amount) external onlyOwner {
    _mint(to, amount);  // No cap!
}

Risk: Owner can inflate supply arbitrarily Fix: Add maximum supply cap or rate-limited minting

Pausability

✓ Pausable pattern implemented (OpenZeppelin) ✓ Only owner can pause ⚠ Paused state affects all transfers (including existing holders)

Risk: Owner can trap all user funds Mitigation: Use multi-sig for pause function (already implemented ✓)

Blacklisting

✗ No blacklist functionality Assessment: Good - no centralized censorship risk

Team Transparency

✓ Team members public (team.md) ✓ Company registered in Switzerland ✓ Accountable and contactable

Status: ACCEPTABLE


4. ERC20 CONFORMITY

Slither-check-erc Results

Command: slither-check-erc . RewardToken --erc erc20

✓ transfer returns bool ✓ transferFrom returns bool ✓ name, decimals, symbol present ✓ decimals returns uint8 (value: 18) ✓ Race condition mitigated (increaseAllowance/decreaseAllowance)

Status: FULLY COMPLIANT

slither-prop Test Results

Command: slither-prop . --contract RewardToken

Generated 12 properties, all passed: ✓ Transfer doesn't change total supply ✓ Allowance correctly updates ✓ Balance updates match transfer amounts ✓ No balance manipulation possible [... 8 more properties ...]

Echidna fuzzing: 50,000 runs, no violations ✓

Status: EXCELLENT


5. WEIRD TOKEN PATTERN ANALYSIS

Integration Safety Check

Your Protocol Integrates 5 External Tokens:

  1. USDT (0xdac17f9...)
  2. USDC (0xa0b86991...)
  3. DAI (0x6b175474...)
  4. WETH (0xc02aaa39...)
  5. UNI (0x1f9840a8...)

Critical Issues Found

Pattern 7.2: Missing Return Values Found in: USDT integration File: contracts/Vault.sol:156

solidity
IERC20(usdt).transferFrom(msg.sender, address(this), amount);
// No return value check! USDT doesn't return bool

Risk: Silent failures on USDT transfers Exploit: User appears to deposit, but no tokens moved Fix: Use OpenZeppelin SafeERC20 wrapper


Pattern 7.3: Fee on Transfer Risk for: Any token with transfer fees File: contracts/Vault.sol:170

solidity
uint256 balanceBefore = IERC20(token).balanceOf(address(this));
token.transferFrom(msg.sender, address(this), amount);
shares = amount * exchangeRate;  // WRONG! Should use actual received amount

Risk: Accounting mismatch if token takes fees Exploit: User credited more shares than tokens deposited Fix: Calculate shares from balanceAfter - balanceBefore


Known Non-Standard Token Handling

USDC: Properly handled (SafeERC20, 6 decimals accounted for) ⚠ DAI: permit() function not used (opportunity for gas savings) ✗ USDT: Missing return value not handled (CRITICAL) ✓ WETH: Standard wrapper, properly handled ⚠ UNI: Large approval handling not checked (reverts >= 2^96)


[... Additional sections for remaining analysis categories ...]


For complete report template and deliverables format, see [REPORT_TEMPLATES.md](resources/REPORT_TEMPLATES.md).

---

## Rationalizations (Do Not Skip)

| Rationalization | Why It's Wrong | Required Action |
|-----------------|----------------|-----------------|
| "Token looks standard, ERC20 checks pass" | 20+ weird token patterns exist beyond ERC20 compliance | Check ALL weird token patterns from database (missing return, revert on zero, hooks, etc.) |
| "Slither shows no issues, integration is safe" | Slither detects some patterns, misses integration logic | Complete manual analysis of all 5 token integration criteria |
| "No fee-on-transfer detected, skip that check" | Fee-on-transfer can be owner-controlled or conditional | Test all transfer scenarios, check for conditional fee logic |
| "Balance checks exist, handling is safe" | Balance checks alone don't protect against all weird tokens | Verify safe transfer wrappers, revert handling, approval patterns |
| "Token is deployed by reputable team, assume standard" | Reputation doesn't guarantee standard behavior | Analyze actual code and on-chain behavior, don't trust assumptions |
| "Integration uses OpenZeppelin, must be safe" | OpenZeppelin libraries don't protect against weird external tokens | Verify defensive patterns around all external token calls |
| "Can't run Slither, skipping automated analysis" | Slither provides critical ERC conformance checks | Manually verify all slither-check-erc criteria or document why blocked |
| "This pattern seems fine" | Intuition misses subtle token integration bugs | Systematically check all 20+ weird token patterns with code evidence |

---

## Deliverables

When analysis is complete, I'll provide:

1. **Compliance Checklist** - Checkboxes for all assessment categories
2. **Weird Token Pattern Analysis** - Presence/absence of all 24 patterns with risk levels and evidence
3. **On-chain Analysis Report** (if applicable) - Holder distribution, exchange listings, configuration
4. **Integration Safety Assessment** (if applicable) - Safe transfer usage, defensive patterns, weird token handling
5. **Prioritized Recommendations** - CRITICAL/HIGH/MEDIUM/LOW issues with specific fixes

Complete deliverable templates available in [REPORT_TEMPLATES.md](resources/REPORT_TEMPLATES.md).

---

## Ready to Begin

**What I'll need**:
- Your codebase
- Context: Token implementation or integration?
- Token type: ERC20, ERC721, or both?
- Contract address (if deployed and want on-chain analysis)
- RPC endpoint (if querying on-chain)

Let's analyze your token implementation or integration for security risks!

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 Token Integration Analyzer AI skill do?

Token integration and implementation analyzer based on Trail of Bits' token integration checklist. Analyzes token implementations for ERC20/ERC721 conformity, checks for 20+ weird token patterns, assesses contract composition and owner privileges, performs on-chain scarcity analysis, and evaluates how protocols handle non-standard tokens. Use when integrating or accepting arbitrary ERC20/ERC721 tokens, auditing a token implementation for standards conformity, or assessing risk from weird tokens such as fee-on-transfer, rebasing, missing return values, or blocklists.

Why use Token Integration Analyzer on TypingMind?

Because you install it once and use it with any model. Token Integration Analyzer 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 Token Integration Analyzer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/trailofbits/skills/tree/main/plugins/building-secure-contracts/skills/token-integration-analyzer. 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 Token Integration Analyzer?

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 Token Integration Analyzer?

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

Is the Token Integration Analyzer AI skill free?

Yes. It is published on GitHub by trailofbits under the CC-BY-SA-4.0 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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