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verifier

Validate tests, JSON schemas, and version consistency in completed work.

1|Updated Apr 17, 2025
Search Tags:#validation#quality#code-review#schemas#tests#verifier
One-click install
npx skills add https://github.com/carrot-foundation/schemas --skill verifier-carrot-foundation
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: verifier
Source: https://github.com/carrot-foundation/schemas/tree/main/.agents/skills/verifier
Command: npx skills add https://github.com/carrot-foundation/schemas --skill verifier-carrot-foundation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Validates completed work to ensure tests pass, JSON schemas are generated correctly, and versions remain consistent.

Core Features & Use Cases

  • Enforces 100% test coverage across branches, functions, and lines.
  • Ensures generated JSON schemas align with source schemas and embedded versioning.
  • Supports PR validation and release checks by running the full quality pipeline.

Quick Start

Run the full quality pipeline to verify tests, schemas, and examples.

Frequently Asked Questions about verifier

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

FAQPage Schema
How do I validate JSON schemas during a pull request?▼

To validate JSON schemas during a pull request, run a verification pipeline that checks generated schemas against source schemas and confirms embedded versioning remains consistent.

What is the best way to check version consistency for a release?▼

The best way to check version consistency for a release is to run a quality pipeline that verifies versions remain consistent across schemas, examples, and project files before deployment.

Does PR validation require example validity checks?▼

Yes, PR validation can include example validity checks. Running the full quality pipeline verifies that examples are valid, tests pass, and schemas are generated correctly before approval.

Why does schema generation fail version consistency checks?▼

Schema generation fails version consistency checks when generated JSON schemas do not align with the embedded versioning in source schemas. Validating the full pipeline catches these mismatches.

Can I run test coverage and schema checks together for code review?▼

Yes, you can run test coverage and schema checks together. A comprehensive quality pipeline enforces 100% coverage, validates schemas, and checks examples simultaneously during code reviews.

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