lack-of-precision

Detects and remediates integer arithmetic precision loss in Solidity smart contracts.

1|1|Updated Feb 18, 2026
One-click install
npx skills add https://github.com/Apegurus/solidity-argus --skill lack-of-precision
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lack-of-precision
Source: https://github.com/Apegurus/solidity-argus/tree/main/skills/vulnerability-patterns/lack-of-precision
Command: npx skills add https://github.com/Apegurus/solidity-argus --skill lack-of-precision

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses critical vulnerabilities arising from integer arithmetic in smart contracts, specifically when calculations involving division can lead to significant precision loss or incorrect results.

Core Features & Use Cases

  • Identifies Precision Loss: Detects common patterns where division before multiplication or insufficient scaling causes truncation errors.
  • Provides Remediation: Offers concrete code examples and strategies to fix these vulnerabilities, such as using mulDiv or fixed-point arithmetic.
  • Use Case: Auditing a DeFi protocol's reward distribution mechanism to ensure users receive the correct amount of tokens, preventing under-distribution due to faulty calculations.

Quick Start

Analyze the provided Solidity code for any instances of integer arithmetic that might lead to a lack of precision.

Frequently Asked Questions about lack-of-precision

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
Why does precision loss happen in Solidity smart contract calculations?

Precision loss in Solidity occurs when integer division truncates results before subsequent multiplication, or when fixed-point scaling is insufficient, causing incorrect token distributions and rounding errors in financial calculations.

How do I audit Solidity smart contracts for integer arithmetic vulnerabilities?

Audit smart contracts by analyzing arithmetic operations for division-before-multiplication patterns and insufficient scaling, comparing them against best practices for secure token distribution and financial calculations to identify precision loss.

Can this Skill detect rounding errors in DeFi reward distribution mechanisms?

Yes, it analyzes DeFi protocol reward distribution mechanisms to detect rounding errors and insufficient scaling, ensuring users receive correct token amounts and preventing under-distribution due to faulty arithmetic calculations.

What are the limitations of analyzing integer overflow in smart contract auditing?

The analysis focuses specifically on precision loss from division, truncation, and rounding errors in financial calculations, requiring careful comparison with best practices rather than catching all integer overflow vulnerabilities automatically.