simple-math

Perform arithmetic with standard Python operators without eval or exec.

2.4k|301|Updated Jan 29, 2026

Search Tags:#python #validation #operator #arithmetic #safe-operations #simple-math

Ready to run

npx skills add https://github.com/cisco-ai-defense/skill-scanner --skill simple-math-cisco-ai-defense

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: simple-math
Source: https://github.com/cisco-ai-defense/skill-scanner/tree/main/evals/skills/safe-skills/simple-math
Command: npx skills add https://github.com/cisco-ai-defense/skill-scanner --skill simple-math-cisco-ai-defense

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Performing arithmetic safely within AI workflows or scripts can be risky when code may invoke eval or exec. This Skill uses standard Python operators to compute results without evaluating arbitrary code, ensuring safer arithmetic.

Core Features & Use Cases

Safe arithmetic using +, -, *, / with explicit type conversion
Input validation to ensure numeric operands
Easily integrate into prompts or automated calculations without executing code

Quick Start

Ask the AI to perform a safe calculation using standard Python operators (for example, 8 + 5) without eval or exec.

Frequently Asked Questions about simple-math

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

FAQPage Schema

How do I perform safe arithmetic operations in Python without using eval?▼

Safe arithmetic in Python without eval uses standard operators like +, -, *, and / with explicit numeric type conversion and input validation. This approach computes results directly without evaluating arbitrary code, preventing unsafe code execution in AI workflows.

Why does my Python arithmetic workflow throw an unsafe code execution error?▼

Unsafe code execution errors in Python arithmetic workflows typically occur when using eval or exec to compute results. Switching to standard Python operators with explicit numeric type validation restricts operations to basic arithmetic, eliminating the risk of arbitrary code injection.

Can I use Python operators for automated calculations within AI agent workflows?▼

Yes, Python operators can be used for automated calculations within AI agent workflows. By enforcing safe input validation and explicit operator mapping, AI agents can safely handle arithmetic queries without the security risks associated with evaluating arbitrary user input.

What is the best way to validate numeric operands for arithmetic in Python scripts?▼

The best way to validate numeric operands for arithmetic in Python scripts is through explicit type conversion combined with input validation. This ensures that only numeric types are processed by standard operators, preventing type errors and avoiding unsafe execution paths.

Does performing arithmetic without eval or exec support all standard math operations?▼

Performing arithmetic without eval or exec supports standard operations like addition, subtraction, multiplication, and division. It maps these explicit operators directly in Python, ensuring calculations remain safe but may lack advanced math functions found in unrestricted execution environments.