web3-security-analysis

Assess Web3 security risks for tokens and addresses across Ethereum-compatible chains.

Updated Jan 24, 2026
One-click install
npx skills add https://github.com/Toby1009/SpoonOS-Agent-Example --skill web3-security-analysis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: web3-security-analysis
Source: https://github.com/Toby1009/SpoonOS-Agent-Example/tree/main/.agent/skills/security-analysis
Command: npx skills add https://github.com/Toby1009/SpoonOS-Agent-Example --skill web3-security-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires aiohttp, pydantic, web3, eth_account, spoon_ai, and includes scripts (resource) components.

What problem does it solve?

Analyze Web3 security risks across tokens and addresses, helping developers quickly identify exposures like honeypots, rug pulls, and unsafe contracts.

Core Features & Use Cases

  • Token security scanning with GoPlus and honeypot checks.
  • Transaction risk assessment via Tenderly simulations and MEV protection.
  • Comprehensive risk reports for token contracts and addresses, suitable for pre-trade audits and ongoing monitoring.

Quick Start

Provide a token or address to analyze and receive a consolidated security report.

Frequently Asked Questions about web3-security-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect honeypot tokens and assess Web3 security risks before trading?

Token security scanning uses GoPlus and honeypot checks to evaluate contract safety and flag malicious logic. This generates a consolidated risk report identifying potential rug pulls and unsafe token exposures before trading.

Can I simulate transactions and apply MEV protection across Ethereum-compatible chains?

Yes, transaction risk assessment is possible via Tenderly simulations and Flashbots MEV protection. This evaluates transaction outcomes and prevents value extraction across Ethereum-compatible chains, producing actionable risk assessments for your trades.

What Web3 security analysis mechanisms are used for address risk evaluation?

Address risk analysis leverages GoPlus, Honeypot, and Tenderly integrations to evaluate contract safety and transaction exposure. It applies Python scripts to generate structured security reports for pre-trade audits and ongoing monitoring.

Do I need specific API keys and Python dependencies to run transaction simulations?

Yes, executing transaction simulations requires environment variables for API keys and account details alongside Python dependencies like web3, aiohttp, and eth_account. These enable scripts to interact with Ethereum-compatible chains and generate risk assessments.

What are the limitations of using Python scripts for token security scanning?

Token security scanning relies on external API integrations like GoPlus and Tenderly, meaning accuracy depends entirely on third-party data availability. It focuses strictly on Ethereum-compatible chains and requires valid API keys to produce actionable risk assessments.