analyzing-ethereum-smart-contract-vulnerabilities

Perform static and symbolic analysis of Solidity smart contracts using Slither and Mythril to detect reentrancy, integer overflow, access control, and other vulnerability classes before deployment to Ethereum mainnet.

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Install Skill

Run in your terminal

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/analyzing-ethereum-smart-contract-vulnerabilities

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Installation Guide

How to use analyzing-ethereum-smart-contract-vulnerabilities on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your machine
  • Node.js 16+ with npm — verify with node --version
  • Active project directory where you want to add analyzing-ethereum-smart-contract-vulnerabilities
2

Run the install command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/analyzing-ethereum-smart-contract-vulnerabilities

Fetches analyzing-ethereum-smart-contract-vulnerabilities from mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI shows a list of agents. Use arrow keys and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ────────────────
│ · Cline · Codex · Goose · Windsurf
│ ●Cursor(selected)
│ · Cursor · Aider · Continue
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/analyzing-ethereum-smart-contract-vulnerabilities

Restart Cursor to activate analyzing-ethereum-smart-contract-vulnerabilities. Access via /analyzing-ethereum-smart-contract-vulnerabilities in your agent's command palette.

Security Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.

Documentation

name
analyzing-ethereum-smart-contract-vulnerabilities
description
Perform static and symbolic analysis of Solidity smart contracts using Slither and Mythril to detect reentrancy, integer overflow, access control, and other vulnerability classes before deployment to Ethereum mainnet.
domain
cybersecurity
subdomain
blockchain-security
tags
- ethereum - solidity - smart-contract - slither - mythril - blockchain - defi - audit
version
'1.0'
author
mahipal
license
Apache-2.0
nist_csf
- PR.DS-01 - PR.DS-02 - ID.RA-01

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.

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Steps

  1. 1Install skill using provided installation command
  2. 2Test with simple use case relevant to your work
  3. 3Evaluate output quality and relevance
  4. 4Iterate on prompts to improve results
  5. 5Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use when

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid when

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Related Skills

Reviews

4.873 reviews
  • A
    Aisha ChawlaDec 16, 2024

    Registry listing for analyzing-ethereum-smart-contract-vulnerabilities matched our evaluation — installs cleanly and behaves as described in the markdown.

  • N
    Noor RahmanDec 12, 2024

    Useful defaults in analyzing-ethereum-smart-contract-vulnerabilities — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • I
    Isabella GarciaDec 8, 2024

    Solid pick for teams standardizing on skills: analyzing-ethereum-smart-contract-vulnerabilities is focused, and the summary matches what you get after install.

  • M
    Min MehtaDec 4, 2024

    Keeps context tight: analyzing-ethereum-smart-contract-vulnerabilities is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • M
    Mateo SharmaDec 4, 2024

    analyzing-ethereum-smart-contract-vulnerabilities fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • O
    Omar ChenNov 27, 2024

    Registry listing for analyzing-ethereum-smart-contract-vulnerabilities matched our evaluation — installs cleanly and behaves as described in the markdown.

  • O
    Olivia NdlovuNov 23, 2024

    analyzing-ethereum-smart-contract-vulnerabilities has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • W
    William JohnsonNov 23, 2024

    We added analyzing-ethereum-smart-contract-vulnerabilities from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Z
    Zaid MensahNov 15, 2024

    analyzing-ethereum-smart-contract-vulnerabilities reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • M
    Min VermaNov 7, 2024

    analyzing-ethereum-smart-contract-vulnerabilities is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

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