mapper-runtime-checks

Compare raw API responses with mapped outputs to detect missing or mismapped fields.

6|Updated Feb 20, 2025
One-click install
npx skills add https://github.com/zerobias-org/module --skill mapper-runtime-checks
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mapper-runtime-checks
Source: https://github.com/zerobias-org/module/tree/main/.claude/skills/mapper-runtime-checks
Command: npx skills add https://github.com/zerobias-org/module --skill mapper-runtime-checks

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Runtime mapper validation helps teams detect missing or mismapped fields by comparing raw API responses with mapped outputs during runtime, reducing silent mapping gaps that cause data inconsistencies.

Core Features & Use Cases

  • Runtime validation of API-to-mapper mappings by comparing raw responses with mapped results
  • Automatic detection of field name mismatches, missing fields, and type conversion issues
  • Guidance and workflows for updating mappers and API specifications after changes
  • Applicable to new module creation, API spec updates, mapper refactors, and periodic validation across all producers in a module

Quick Start

Run the runtime validation after implementing or updating mappers to detect missing fields.

Frequently Asked Questions about mapper-runtime-checks

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

FAQPage Schema
How do I detect missing fields when mapping API responses during runtime?

Detect missing fields during runtime mapping by enabling debug logs, running integration tests in debug mode, and comparing raw API responses against mapped outputs to identify mismapped or missing data.

What causes silent data inconsistencies in API-to-mapper integrations?

Silent data inconsistencies occur when API-to-mapper integrations have unmapped fields or type conversion issues. Runtime validation solves this by comparing raw API responses with mapped results to detect gaps automatically.

How do I validate API spec updates against existing mappers?

Validate API spec updates against existing mappers by running integration tests in debug mode. This compares raw API responses with mapped outputs to confirm zero missing fields and guard against specification gaps.

When should I run runtime validation for API mappers?

Run runtime validation for API mappers during new module creation, API spec updates, mapper refactors, and periodic validation across all producers in a module to ensure continuous mapping accuracy.

Do I need debug logs enabled to check for mismapped API fields?

Yes, debug logs are required to check for mismapped API fields. Runtime validation depends on debug logs to compare raw API responses with mapped outputs and confirm zero missing fields during integration tests.

Why does my mapped output have missing data after an API response update?

Mapped output has missing data after an API response update when field names mismatch or new fields go unmapped. Runtime validation detects these gaps by comparing raw responses with mapped results during integration tests.