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Anti Rug

专业Web3代币合约安全分析工具,核心功能含场景化代币分类(稳定/生态/迷因币)、交叉验证引擎、动态风险评分及致命漏洞检测。支持以太坊、BSC等多EVM链及Solana链,用户输入链ID与合约地址,即可获取风险等级(含致命级)及分析结果,帮助投资者事前核查代币安全性,识别各类合约风险。

deanpeng-dotcom
deanpeng-dotcom
热度 40.25
最近更新 2026-05-11 17:42:10
分类:安全依赖:代码执行 / 第三方 API / 读写文件应用场景:财务 / 报告撰写

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add anti-rug
Metadata
name
anti-rug-cn
version
3.1.0
description
Web3 token security scanner with expert cross-validation engine. Detects honeypots, rug pulls, and contract risks across Ethereum, BSC, Polygon, and other EVM chains.
author
Antalpha AI Team
requires
["python>=3.8","requests>=2.28.0"]
metadata
{"repository":"https://github.com/ZorroShao/anti-rug","install":{"type":"python","command":"pip install -r requirements.txt"},"env":[]}

Web3 Token Security Scanner (Anti-Rug)

Maintainer: Antalpha AI Team

A professional-grade token contract security analyzer featuring scenario-based classification and cross-validation engine.

Overview

This tool performs comprehensive security analysis of token contracts with:

  • Scenario Classification: Automatically categorizes tokens (A: Pegged Assets, B: Eco Tokens, C: Meme Coins)
  • Cross-Validation Engine: Analyzes relationships between indicators (neutralized/amplified/contextual)
  • Dynamic Risk Scoring: Weighted scoring system adapted to token type
  • Fatal Finding Detection: One-strike rules for critical vulnerabilities

Supported Chains

  • Ethereum (chain_id: 1)
  • BNB Smart Chain (chain_id: 56)
  • Polygon (chain_id: 137)
  • Arbitrum One (chain_id: 42161)
  • Base (chain_id: 8453)
  • Optimism (chain_id: 10)
  • Avalanche C-Chain (chain_id: 43114)
  • Solana (chain_id: solana)

Installation

git clone https://github.com/ZorroShao/anti-rug.git
cd anti-rug
pip install -r requirements.txt

Usage

python scripts/check_token.py --chain_id 56 --contract_address 0x...

Scenario Classification

Scenario A: Pegged/Stable Assets

Examples: USDT, USDC, WETH, WBNB

  • Mintable: ✅ Expected for peg maintenance
  • Owner: ✅ Institution custody is normal
  • Blacklist: ✅ Compliance requirement

Scenario B: Ecosystem Tokens

Examples: UNI, AAVE, established DeFi

  • Proxy: ✅ Acceptable for upgradeability
  • Treasury: ✅ Protocol-owned liquidity expected

Scenario C: Meme/Unknown Tokens

  • All permissions: ⚠️ Treated as potential rug tools
  • Strictest evaluation applied

Risk Severity Levels

Score Level Action
0-24 Low ✅ Base security passed
25-49 Low-Medium 🟡 Minor concerns
50-74 Medium 🟡 Caution required
75-100 High 🔴 Dangerous
Fatal Critical 🛑 Do not buy

Architecture

config.py           # Centralized configuration
exceptions.py       # Custom exception classes
validators/         # Cross-validation rules (modular)
  cv_mint_ownership.py
  cv_concentration.py
  cv_proxy.py
  cv_tax_scenario.py
tests/              # Unit tests
scripts/
  check_token.py    # Main entry point

License

MIT License - See LICENSE file