integer-arithmetic-hardening

Detect and remediate integer overflow, underflow, and precision loss in arithmetic operations.

1|1|Updated Mar 5, 2026

Search Tags:#security #vulnerability #audit #overflow #arithmetic #safemath

Ready to run

npx skills add https://github.com/abhijeetkakade1234/skills --skill integer-arithmetic-hardening

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: integer-arithmetic-hardening
Source: https://github.com/abhijeetkakade1234/skills/tree/main/security-audit-orchestrator/specialized/integer-arithmetic-hardening
Command: npx skills add https://github.com/abhijeetkakade1234/skills --skill integer-arithmetic-hardening

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill identifies and mitigates critical numeric vulnerabilities such as integer overflows, underflows, and precision loss that frequently lead to financial exploits in software.

Core Features & Use Cases

Vulnerability Detection: Scans for unchecked arithmetic operations, type confusion, and dangerous implicit casts.
Remediation Guidance: Provides specific patterns for implementing safe arithmetic, bounds checking, and proper type usage across multiple languages.
Use Case: Use this during a security audit of a smart contract or financial backend to ensure that balance updates and price calculations are protected against wrapping and truncation attacks.

Quick Start

Analyze the provided source code for potential integer overflow and underflow vulnerabilities using the integer-arithmetic-hardening skill.

Frequently Asked Questions about integer-arithmetic-hardening

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

FAQPage Schema

How do I detect integer overflow vulnerabilities in smart contracts and financial backends?▼

To detect integer overflow vulnerabilities, you must scan for unchecked arithmetic operations, type confusion, and dangerous implicit casts in balance updates and price calculations. This pinpoints silent wrapping and data truncation risks in boundary-sensitive logic.

What causes integer underflow and precision loss in Rust and Go arithmetic operations?▼

Integer underflow and precision loss in Rust and Go are caused by unchecked arithmetic operations and improper type usage. Boundary-sensitive logic frequently suffers silent wrapping and data truncation when strict validation is missing.

How do I implement SafeMath and bounds checking to prevent numeric exploits in Solidity?▼

To implement SafeMath and prevent numeric exploits in Solidity, apply specific patterns for safe arithmetic libraries, enforce strict validation, and execute boundary testing on financial calculations to stop wrapping attacks.

Can I audit Java financial calculations for type confusion and dangerous implicit casts?▼

Yes, you can audit Java financial calculations for type confusion and dangerous implicit casts. The analysis identifies these numeric vulnerabilities and recommends proper type usage and bounds checking to prevent precision loss.

What is the best way to secure balance management logic against wrapping and truncation attacks?▼

The best way to secure balance management logic against wrapping and truncation attacks is enforcing safe arithmetic library usage with strict validation. Remediating unchecked operations prevents silent data truncation across target languages.

When do I need strict boundary testing for integer overflow risks?▼

You need strict boundary testing for integer overflow risks during security audits of financial backends or smart contracts. It is required when remediating boundary-sensitive logic to enforce safe arithmetic and prevent silent wrapping.