The capabilities of modern AI have fundamentally shifted the landscape of blockchain development. For Web3 developers, the ability to rapidly audit, optimize, and secure smart contracts is no longer just an advantage—it is a necessity. While automated tools like Slither and MythX are indispensable, Generative AI provides a semantic layer of analysis that can catch logic errors, suggest gas optimizations, and explain complex attack vectors that static analysis might miss.
These prompts have been rigorously tested and optimized for deployment across the major AI models: ChatGPT, Gemini, Claude, and DeepSeek. While each model possesses unique architectural strengths—DeepSeek excels at code logic, Claude offers deep contextual understanding, and Gemini and ChatGPT provide versatile reasoning—the following 10 prompts provide a universal, high-impact foundation for any Blockchain Developer focused on security and efficiency.
1. The Reentrancy Vulnerability Scan
Best for: DeepSeek or Claude (due to their strong logic and code analysis capabilities).
Reentrancy remains one of the most persistent threats in Solidity development. This prompt instructs the AI to act as a security researcher, specifically hunting for patterns where external calls precede state changes.
Act as a Senior Smart Contract Auditor. Analyze the following Solidity code snippet for potential reentrancy vulnerabilities.
Focus specifically on:
1. The Check-Effects-Interactions pattern.
2. The use of `transfer`, `send`, or `call`.
3. State changes happening after external calls.
If a vulnerability exists, provide a specific exploit scenario and rewrite the function using a ReentrancyGuard modifier or by correcting the logic flow.
[INSERT SMART CONTRACT CODE]
The Payoff: Identifies state-dependency risks immediately and provides corrected code that adheres to industry-standard security patterns, potentially saving millions in lost funds.
2. Gas Optimization Refactoring
Best for: ChatGPT (Excellent for iterative code improvements).
Gas efficiency is critical for user adoption. This prompt moves beyond simple syntax changes and looks for structural optimizations, such as storage packing and loop optimization.
Review the provided Solidity contract specifically for gas optimization.
Identify areas where gas costs can be reduced without compromising security. Look for:
1. Opportunities to pack struct variables.
2. Use of `calldata` vs `memory`.
3. Loop optimization (e.g., caching array length).
4. Redundant storage reads/writes.
5. Use of custom errors instead of require strings.
Output a table comparing the original vs. optimized approach for each finding, followed by the refactored code block.
[INSERT SMART CONTRACT CODE]
The Payoff: Delivers tangible cost reductions for contract deployment and execution, directly improving the user experience and protocol efficiency.
3. Comprehensive Unit Test Generation
Best for: Claude (Great for maintaining context across large test suites).
Writing exhaustive test cases, especially for edge cases, is time-consuming. This prompt leverages AI to generate a robust test suite using popular frameworks.
Generate a comprehensive unit test suite for the following smart contract using the Foundry (Forge) framework.
Include tests for:
1. Happy path execution (expected behavior).
2. Edge cases (min/max values, zero address inputs).
3. Access control failures (unauthorized calls).
4. Revert conditions.
Ensure the tests use Fuzz testing where appropriate to maximize coverage.
[INSERT SMART CONTRACT CODE]
The Payoff: Drastically reduces the time spent on writing boilerplate test code while ensuring high coverage, particularly for easily overlooked edge cases.
4. Access Control Logic Verification
Best for: Gemini (Strong at parsing logical hierarchies).
Broken access control is a leading cause of DeFi hacks. This prompt focuses entirely on verifying who can do what within the system.
Analyze the Role-Based Access Control (RBAC) in this contract.
Map out a matrix of all functions and the roles permitted to call them. Identify any functions that:
1. Lack visibility modifiers.
2. Should be restricted but are `public` or `external`.
3. Allow privilege escalation.
4. Do not properly implement `onlyOwner` or `accessControl` checks.
Highlight any critical severity issues where a standard user could execute privileged administrative actions.
[INSERT SMART CONTRACT CODE]
The Payoff: visualizes the security architecture of the contract, making it easy to spot missing modifiers or incorrectly exposed functions before deployment.
5. Flash Loan Attack Simulation
Best for: DeepSeek (High technical precision for complex attack vectors).
Simulating economic attacks is difficult. This prompt asks the AI to think like a black-hat hacker to test the protocol’s resilience against price manipulation and flash loans.
Act as a White Hat Hacker. Analyze the following DeFi protocol code for Flash Loan vulnerabilities.
Assess how the contract handles price oracle updates and pool balances. Specifically, check if:
1. The protocol relies on spot prices from a single DEX.
2. Balances can be manipulated within a single transaction to distort internal accounting.
Draft a theoretical attack vector where a flash loan could be used to drain funds, and propose a specific mitigation strategy (e.g., TWAP oracles).
[INSERT SMART CONTRACT CODE]
The Payoff: pro-actively identifies economic design flaws that standard code audits often miss, securing the protocol against sophisticated financial attacks.
6. ERC Standard Compliance Check
Best for: ChatGPT (Broad knowledge base of EIP standards).
Ensuring a token strictly adheres to standards (like ERC-20, ERC-721, or ERC-1155) is vital for composability.
Verify this contract's compliance with the [INSERT STANDARD, E.G., ERC-20] standard.
Check for:
1. Correct function signatures and return values.
2. Proper emission of required Events.
3. Implementation of optional extensions (e.g., permit, burnable).
4. Any deviations that might break integration with major wallets or marketplaces.
List any missing or non-compliant features.
[INSERT SMART CONTRACT CODE]
The Payoff: Ensures interoperability with the wider Web3 ecosystem, preventing integration issues with wallets, exchanges, and other dApps.
7. Upgradeability Pattern Analysis
Best for: Claude (Excellent for analyzing complex system architecture).
Proxy patterns introduce significant complexity and risk (e.g., storage collisions). This prompt verifies the safety of upgradeable contracts.
Analyze this Upgradeable Proxy contract implementation.
Review the storage layout to detect potential storage collisions between the implementation and the proxy. Check for:
1. Proper use of `gap` variables in parent contracts.
2. Initialization logic (ensure `initialize` cannot be called twice).
3. Self-destruct vulnerabilities in the implementation contract.
Confirm if the storage layout is safe for future upgrades.
[INSERT SMART CONTRACT CODE]
The Payoff: Prevents catastrophic storage corruption during contract upgrades, ensuring the longevity and maintainability of the protocol.
8. Explain Logic to Non-Technical Stakeholders
Best for: Gemini (Good for summarizing and natural language translation).
Auditors often need to explain findings to project managers or investors. This prompt translates Solidity into plain English.
Translate the logic of the following function into a clear, non-technical summary suitable for a project manager or investor.
Explain:
1. What the function does (The "What").
2. Why the logic is structured this way (The "Why").
3. The specific conditions required for it to succeed.
Avoid technical jargon where possible, or define it simply if necessary.
[INSERT FUNCTION CODE]
The Payoff: Bridges the communication gap between technical teams and stakeholders, facilitating faster decision-making and clearer documentation.
9. Arithmetic Overflow/Underflow Detection
Best for: DeepSeek (Precision with mathematical logic).
While Solidity versions >0.8.0 handle this natively, unchecked blocks or older forks can still be vulnerable.
Scan the following code for arithmetic vulnerabilities.
Focus on:
1. `unchecked` blocks where overflow/underflow protection is disabled.
2. Casting between different integer types (e.g., `uint256` down to `uint8`).
3. Precision loss in division operations (checking if multiplication happens before division).
Identify any calculations that could result in incorrect values or locked funds.
[INSERT SMART CONTRACT CODE]
The Payoff: catches subtle mathematical errors that can lead to precision loss or calculation failures, which are critical in DeFi applications.
10. Shadowing and Scope Verification
Best for: ChatGPT (Quick syntax and scope checking).
Variable shadowing can lead to confusing bugs where a local variable silently overrides a state variable.
Review the code for variable shadowing.
Identify instances where:
1. Local variables share the same name as state variables.
2. Function parameters share the same name as state variables or global variables.
3. Inheritance causes naming conflicts between parent and child contracts.
Point out exactly where the ambiguity occurs and suggest a naming convention fix (e.g., using underscores for local variables).
[INSERT SMART CONTRACT CODE]
The Payoff: Eliminates ambiguity in the code, making the contract easier to read, audit, and maintain, reducing the likelihood of developer error.
Pro-Tip: Contextual Prompt Chaining
To get the most out of these AI models, do not treat audits as a single-shot process. Use Prompt Chaining. Start with the Gas Optimization prompt to clean up the code. Take the refactored output and feed it into the Reentrancy Vulnerability Scan. Finally, use the Unit Test Generation prompt on the polished, secure code. Providing the AI with the “role” (e.g., “Act as a Lead Auditor”) and the “constraint” (e.g., “prioritize security over gas”) at the start of every interaction significantly improves the relevance of the output.
Mastering AI-assisted auditing is not about replacing the human auditor; it is about augmenting your ability to see patterns at speed. By integrating these prompts into your workflow, you create a rigorous first line of defense, allowing you to focus your expertise on the high-level architecture and complex economic logic that truly defines a secure Web3 protocol. Would you like me to help you set up a prompt chain for a specific contract type you are working on?