analyzing-ethereum-smart-contract-vulnerabilities
Perform static and symbolic analysis of Solidity smart contracts using
Install / Use
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-ethereum-smart-contract-vulnerabilitiesInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
SecuritySupported Platforms
Our assessment of analyzing-ethereum-smart-contract-vulnerabilities
analyzing-ethereum-smart-contract-vulnerabilities scores 85/100 on our quality scale, 354th of 544 Security skills we index.
Its SKILL.md is 2.9 KB long, well organised into 10 sections and no code examples: a solid amount of guidance for an agent.
With 33,340 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 25 days ago, so analyzing-ethereum-smart-contract-vulnerabilities is actively maintained.
- It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.
Automated pattern scan on 2026-09-25. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
analyzing-ethereum-smart-contract-vulnerabilities compared with similar skills
All 4 of these similar skills score higher than analyzing-ethereum-smart-contract-vulnerabilities; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| analyzing-ethereum-smart-contract-vulnerabilities (this skill)by mukul975 | 85 | 33.3k | 25d ago | SKILL.md |
| algorithmic-artby anthropics | 100 | 177.9k | 3d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 3d ago | SKILL.md |
| designby nextlevelbuilder | 100 | 130.2k | 4d ago | SKILL.md |
| ui-ux-pro-maxby nextlevelbuilder | 100 | 130.2k | 4d ago | SKILL.md |
Frequently asked questions
- How do I install analyzing-ethereum-smart-contract-vulnerabilities?
- Run
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-ethereum-smart-contract-vulnerabilities. The install tabs above show the steps for each supported agent. - Which AI agents does analyzing-ethereum-smart-contract-vulnerabilities work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is analyzing-ethereum-smart-contract-vulnerabilities safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is analyzing-ethereum-smart-contract-vulnerabilities still maintained?
- The repository was last updated 25 days ago, so analyzing-ethereum-smart-contract-vulnerabilities is actively maintained.
Skill content
View source on GitHubname: 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 mitre_attack:
- T1190
- T1059
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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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
