本文へ移動
cccskills
無料GitHub で公開

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.

インストール方法を見る

含まれるファイル(4)

  • SKILL.md2.9 KB
  • LICENSE11.0 KB
  • references/api-reference.md2.6 KB
  • scripts/agent.py6.7 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

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.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Pre-deployment security audit of Solidity smart contracts in a Foundry project. Combines static analysis (Slither, Aderyn), symbolic execution (Mythril), and property-based testing (forge fuzz + invariant tests with handlers) to catch reentrancy, access-control, oracle/price manipulation, and arithmetic bugs BEFORE deploying to an EVM chain. Also enforces key hygiene (no plaintext private keys, encrypted cast keystore) and a secure deploy workflow. Use when writing, reviewing, testing, or deploying Solidity/Foundry contracts, building a dApp, or working with forge/cast/anvil, MetaMask, or Web3/DeFi code.

日本語の概要は準備中です。原文の説明を表示しています。

tradecatlabs/vibe-coding-cn1.7万2026年10月12日 更新

Claude Skills meta-skill: extract domain material (docs/APIs/code/specs) into a reusable Skill (SKILL.md + references/scripts/assets), and refactor existing Skills for clarity, activation reliability, and quality gates.

日本語の概要は準備中です。原文の説明を表示しています。

tradecatlabs/vibe-coding-cn1.7万2026年10月12日 更新

auto-tmux

無料

tmux 自动化操控:用 scripts/auto-tmux.sh 安全读取、发送、巡检、救援、录制 session|window|pane,用 swarm-state.sh 管理蜂群任务/锁/状态,并基于 oh-my-tmux 组织多 AI 终端协作。触发:capture-pane、send-keys、批量巡检、蜂群 AI 协作、卡死救援、tmux 工作台初始化。

日本語の概要は準備中です。原文の説明を表示しています。

tradecatlabs/vibe-coding-cn1.7万2026年10月12日 更新

可重跑的数学计算与反例实验。用于 SymPy 精确代数/微积分/方程/矩阵、NumPy/SciPy 数值方法、mpmath 高精度交叉检查、OEIS 序列识别、有限范围反例搜索和计算证据记录。

日本語の概要は準備中です。原文の説明を表示しています。

tradecatlabs/vibe-coding-cn1.7万2026年10月12日 更新

数学公式与理论线推导。用于整理散乱公式、固定不变量和记号、推导恒等式/近似/局部命题、检查隐藏假设,或把理论笔记变成可审计推导包。

日本語の概要は準備中です。原文の説明を表示しています。

tradecatlabs/vibe-coding-cn1.7万2026年10月12日 更新

数学问题发现与证据检索。用于界定研究问题、查定义/定理谱系、检索 arXiv/Scholar/OpenAlex/Crossref、建立来源账本、证据图、查新或从证据缺口生成可证伪猜想。

日本語の概要は準備中です。原文の説明を表示しています。

tradecatlabs/vibe-coding-cn1.7万2026年10月12日 更新

tradecatlabs のスキルをすべて見る

このスキルの問題を報告する