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gigo

Validate inputs at system boundaries to enforce fail-fast data integrity.

Updated Mar 8, 2026
Search Tags:#input validation#error handling#validation#data integrity#data quality#fail fast
One-click install
npx skills add https://github.com/messeb/skills --skill gigo
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gigo
Source: https://github.com/messeb/skills/tree/main/plugins/general-developer/skills/gigo
Command: npx skills add https://github.com/messeb/skills --skill gigo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the critical issue of "Garbage In, Garbage Out" by ensuring that data quality is maintained at every system boundary, preventing errors and improving the reliability of your applications.

Core Features & Use Cases

  • Input Validation: Enforces validation at API boundaries, domain models, and database constraints.
  • Fail Fast Principle: Promotes catching errors at the earliest possible point to reduce debugging complexity.
  • Use Case: When receiving user input via an API, this skill ensures that data like email addresses or order totals are validated for correctness and format before they are processed or stored, preventing corrupted data.

Quick Start

Use the gigo skill to review the input validation strategy for the user registration endpoint.

Frequently Asked Questions about gigo

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

FAQPage Schema
How does the fail fast principle help prevent data corruption in APIs?▼

Input validation prevents garbage in, garbage out by enforcing explicit checks on data shape, type, and format at system boundaries. This ensures data quality is maintained from input to output, stopping corrupted data before it reaches domain models or database interactions.

What is the best way to validate user input for system boundaries and domain models?▼

The best way to validate user input is applying explicit checks for data shape, type, format, and business rules at system boundaries. Validating during API endpoint processing and domain object construction ensures data integrity before storage.

When do I need to apply input validation to maintain data integrity?▼

You need to apply input validation whenever data crosses a system boundary, including API endpoints, domain object construction, and database interactions. Validating inputs like email addresses or order totals at these junctions ensures data integrity and output quality.

Can I use this approach to validate data quality for database interactions?▼

Yes, you can validate data quality for database interactions by enforcing constraints and explicit checks at system boundaries. Applying validation to data shape, type, and format before storage prevents corrupted data and maintains overall data integrity.

What are the limitations of relying solely on fail fast error handling for data quality?▼

Relying solely on fail fast error handling requires explicit checks for every data shape, type, format, and business rule. If validation logic is incomplete, corrupted data may bypass system boundaries, meaning comprehensive coverage across all API endpoints and database interactions is mandatory.

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