Does this skill work for multiple programming languages?

Yes, while the examples are in Python, the logic of validating constraints and structure before processing is a universal software engineering best practice applicable to any language.

When should I apply this validation pattern?

This pattern is best used when accepting external user input, parsing specific file formats, or at any system boundary where the data cannot be 100% trusted.

What is the 'fail-fast' principle in this skill?

Fail-fast is a design philosophy where the code is programmed to report errors immediately at the point of failure rather than attempting to continue with invalid data, which prevents silent corruption.

How does this differ from standard unit testing?

While unit testing checks if your code works, this skill implements runtime validation to ensure the data your code is currently processing is valid and safe.

Input Validation Pattern

Name: Input Validation Pattern
Author: jimmc414

byjimmc414

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安全与测试

Implements robust, fail-fast input validation logic to ensure data integrity and prevent silent processing errors.

The Validate Before Process skill brings Peter Norvig's defensive programming patterns to Claude Code, focusing on structural integrity and early error detection. It guides the AI to implement strict validation checks at system boundaries—such as parsing external files, user input, or API requests—before any core logic is executed. By prioritizing clear error messages and 'fail-fast' mechanisms, this skill helps developers build more resilient software that avoids the pitfalls of silent data corruption and makes debugging significantly more efficient.

主要功能

01Distinction between assertions for internal invariants and exceptions for external inputs

02Boundary-based validation strategies to maintain code performance and security

03Fail-fast logic that catches malformed data before it reaches core processing

04Clear, descriptive error reporting that identifies exactly where input failed

05Defensive parsing patterns for complex structures like grids, formulas, and lists

061 GitHub stars

使用场景

01Ensuring API inputs meet specific mathematical or logical constraints

02Building robust data ingestion pipelines that require exact format adherence

03Parsing and validating structured text files or user-provided data strings

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jimmc414/claude-code-plugin-marketplace validate-before-process

For use in Claude.ai and ChatGPT

Download Skill