enumeration-gap

Enumerate acceptable and rejectable cases for data validation functions.

4|Updated Jan 12, 2017
One-click install
npx skills add https://github.com/brandon-fryslie/dotfiles --skill enumeration-gap
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: enumeration-gap
Source: https://github.com/brandon-fryslie/dotfiles/tree/main/config/claude/skills/enumeration-gap
Command: npx skills add https://github.com/brandon-fryslie/dotfiles --skill enumeration-gap

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill encourages developers to explicitly enumerate all acceptable and rejectable cases for data validation before implementing matching logic, thereby reducing enumeration gaps and improving code reliability.

Core Features & Use Cases

  • Explicit Enumeration: Prompts developers to list all possible valid and invalid inputs for a function or operation.
  • Improved Code Reliability: Reduces the risk of mismatches between accepted inputs and actual data, leading to more robust code.
  • Use Case: When developing a function that should identify valid email addresses, this Skill guides the developer to consider all possible formats of valid and invalid email addresses before writing the matching logic.

Quick Start

Before writing your function to validate email addresses, use this Skill to enumerate the list of valid and invalid email address patterns.

Frequently Asked Questions about enumeration-gap

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

FAQPage Schema
How do I ensure thorough input validation before writing matching logic?

Thorough input validation requires explicitly enumerating all acceptable and rejectable data cases before writing matching logic, reducing enumeration gaps and ensuring robust code that handles all edge cases.

What is an enumeration gap in data validation functions?

An enumeration gap occurs when developers write matching logic without explicitly listing all valid and invalid inputs, causing mismatches between accepted inputs and actual data, which reduces code reliability.

How do I enumerate acceptable and rejectable cases for software input validation?

To enumerate input validation cases, list all possible valid and invalid input patterns for your function or operation before implementing matching logic, ensuring comprehensive data verification across all edge cases.

Does this input validation approach work across different programming languages?

Yes, this input validation approach applies to data validation functions across various programming languages, ensuring robust code that covers all edge cases regardless of the language used.

When should I enumerate valid and invalid email address patterns for data verification?

You should enumerate valid and invalid email address patterns before writing your email validation function, considering all possible formats of valid and invalid addresses to ensure comprehensive matching logic.

Why does my data validation logic miss certain edge cases?

Data validation logic misses edge cases when developers fail to explicitly enumerate all acceptable and rejectable inputs beforehand, creating enumeration gaps that lead to mismatches between accepted inputs and actual data.