SkillsLib.ai

Smart Contract Vulnerability Analyzer

Identify and classify smart contract security vulnerabilities with structured analysis

4.3(29 reviews)
100+ downloads
Updated Oct 2026
Verified SafeSecurity VerifiedThis skill was analyzed by our AI security scanner for harmful content including data exfiltration, system manipulation, credential theft, and prompt injection. No threats were detected.

What You Can Do

You can conduct comprehensive security assessments of smart contracts by feeding Claude modular contract code with explicit vulnerability analysis frameworks. Claude traces execution paths, identifies state management issues, evaluates cryptographic implementations, and spots economic model exploits. This structured approach catches interdependencies and subtle design flaws that surface-level reviews miss, making it ideal for pre-deployment audits and incident investigations.

Features

Systematic vulnerability discovery

guide Claude through contract logic, state management, and external calls using structured prompts

Risk classification framework

categorize vulnerabilities by severity (critical, high, medium, low) with exploit feasibility assessment

Attack vector mapping

identify known patterns (reentrancy, overflow, access control bypass, economic exploits) against contract logic

Execution path tracing

reason about how contract functions interact and where state assumptions break down

Cryptographic validation

evaluate signature schemes, randomness sources, and key management for weaknesses

Economic model analysis

spot incentive misalignments, flash loan vulnerabilities, and protocol-level design flaws

Mitigation recommendation

generate fixes with code examples and explain why each fix closes the vulnerability

Comparison against standards

validate implementations against best practices for the contract type (ERC-20, DEX, staking, etc.)

Example Output

Reentrancy Vulnerability Found:

  • Location: withdraw() function, line 47
  • Severity: Critical
  • Issue: Contract transfers funds before updating balance, allowing recursive calls
  • Exploit: Attacker calls withdraw(), receives ETH via fallback function, calls withdraw() again before balances[msg.sender] is zeroed
  • Fix: Update balance before transfer (CEI pattern) or add reentrancy guard

Access Control Gap:

  • Location: updateAdmin() function, line 82
  • Severity: High
  • Issue: Function lacks onlyOwner modifier, allows any address to change admin
  • Impact: Attacker gains protocol control
  • Fix: Add require(msg.sender == owner) check

Economic Model Risk:

  • Location: Staking reward distribution
  • Severity: Medium
  • Issue: Rewards calculated without rounding protection; dust amounts accumulate and cause precision loss over time

What's Included

  • SKILL.md: core instructions for structuring vulnerability analysis prompts
  • Vulnerability Checklist: 40+ vulnerability types organized by category (reentrancy, access control, state management, cryptography, economics)
  • Analysis Framework Template: step-by-step prompts for guiding Claude through contract code sections
  • Risk Severity Matrix: criteria for classifying vulnerabilities by impact and likelihood
  • Exploit Pattern Reference: known attack vectors with code examples and mitigation strategies
  • Audit Report Template: markdown structure for documenting findings with remediation priorities

Who It's For

  • Smart contract security auditors — conduct comprehensive pre-deployment security assessments
  • DeFi protocol developers — review contracts before mainnet launch to identify design flaws
  • Security researchers — investigate vulnerabilities in complex mechanisms (AMMs, staking, lending)
  • Bug bounty hunters — systematically analyze contracts for exploitable flaws
  • Blockchain engineers — validate third-party integrations and external contract interactions

Best For

  • Pre-mainnet contract audits with modular code review
  • Incident investigation and post-exploit root cause analysis
  • Reviewing novel mechanisms and unfamiliar Solidity patterns
  • Validating security fixes against previously identified vulnerabilities
  • Economic model assessment in DeFi protocols
  • Assessing cryptographic implementations and randomness sources

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