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Analyzing Ethereum Smart Contract Vulnerabilities

  • 320 installs
  • 27.3k repo stars
  • Updated August 2, 2026
  • mukul975/anthropic-cybersecurity-skills

Guide systematic review of Ethereum smart contracts for common vulnerability classes before mainnet deploy or audit handoff.

About

Analyzing Ethereum Smart Contract Vulnerabilities is an agent skill for solo Web3 builders who must sanity-check Solidity before users’ funds are at risk. It packages cybersecurity-oriented procedural knowledge so Claude Code, Cursor, or similar agents can walk through vulnerability classes, dangerous patterns, and review checkpoints instead of improvising generic security advice. Use it when a contract is feature-complete but not yet blessed for mainnet—after local tests, alongside formal audits, or when validating a forked DeFi component. The skill emphasizes structured analysis over exploit scripting, helping indies who ship alone catch classic issues early. Prism lists it under Ship security with secondary Validate scope when you prototype on testnets and want the same rigor before scaling scope.

  • Ethereum-focused smart contract vulnerability analysis workflow
  • Fits Anthropic cybersecurity skills collection for agent-assisted review
  • Supports pre-deploy and audit-prep security passes on Solidity ecosystems
  • Apache 2.0 licensed skill package for reuse in agent tooling
  • Checker-style guidance for systematic flaw categories rather than ad-hoc chat

Analyzing Ethereum Smart Contract Vulnerabilities by the numbers

  • 320 all-time installs (skills.sh)
  • +20 installs in the week ending Aug 4, 2026 (Skillselion tracking)
  • Ranked #64 of 479 Web3 & Blockchain skills by installs in the Skillselion catalog
  • Security screen: LOW risk (skills.sh audit)
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill analyzing-ethereum-smart-contract-vulnerabilities

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Listed on Skillselion
Installs320
repo stars27.3k
Security audit2 / 3 scanners passed
Last updatedAugust 2, 2026
Repositorymukul975/anthropic-cybersecurity-skills

What it does

Guide systematic review of Ethereum smart contracts for common vulnerability classes before mainnet deploy or audit handoff.

Files

SKILL.mdMarkdownGitHub ↗

Analyzing Ethereum Smart Contract Vulnerabilities

Overview

Smart contract vulnerabilities have led to billions of dollars in losses across DeFi protocols. Unlike traditional software, deployed smart contracts are immutable and handle real financial assets, making pre-deployment security analysis critical. Slither performs fast static analysis using an intermediate representation to detect over 90 vulnerability patterns in seconds, while Mythril uses symbolic execution and SMT solving to discover complex execution path vulnerabilities like reentrancy and integer overflows. This skill covers running both tools against Solidity contracts, interpreting results, triaging findings by severity, and generating audit reports.

When to Use

  • When investigating security incidents that require analyzing ethereum smart contract vulnerabilities
  • When building detection rules or threat hunting queries for this domain
  • When SOC analysts need structured procedures for this analysis type
  • When validating security monitoring coverage for related attack techniques

Prerequisites

  • Python 3.10+ with pip
  • Slither (pip install slither-analyzer) and solc compiler
  • Mythril (pip install mythril) with solc-select for compiler version management
  • Solidity source code or compiled contract bytecode
  • Foundry or Hardhat development framework (optional, for project-level analysis)

Steps

Step 1: Run Slither Static Analysis

Execute Slither against the contract codebase to identify vulnerability patterns, optimization opportunities, and code quality issues using its 90+ built-in detectors.

Step 2: Run Mythril Symbolic Execution

Run Mythril deep analysis to explore execution paths and discover reentrancy, unchecked external calls, and arithmetic vulnerabilities that require path-sensitive analysis.

Step 3: Triage and Correlate Findings

Combine results from both tools, deduplicate findings, assess severity based on exploitability and financial impact, and filter false positives.

Step 4: Generate Audit Report

Produce a structured audit report with vulnerability descriptions, affected code locations, exploit scenarios, and remediation recommendations.

Expected Output

JSON report listing vulnerabilities with SWC (Smart Contract Weakness Classification) identifiers, severity ratings, affected functions, and suggested fixes.

Related skills

FAQ

Is Analyzing Ethereum Smart Contract Vulnerabilities safe to install?

skills.sh reports 2 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.

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