verification

Trace data flow from UI interactions to backend API responses.

2|Updated Mar 29, 2026
One-click install
npx skills add https://github.com/NagyVikt/codex-plugins --skill verification-nagyvikt
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: verification
Source: https://github.com/NagyVikt/codex-plugins/tree/main/plugins/vercel/skills/verification
Command: npx skills add https://github.com/NagyVikt/codex-plugins --skill verification-nagyvikt

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the uncertainty of whether a full-stack feature is truly functional by tracing the entire data path from the browser UI through the API and down to the data source.

Core Features & Use Cases

  • Full-Story Inference: Automatically maps the user's intent to specific routes, components, and API endpoints.
  • Layered Evidence Gathering: Systematically checks browser state, server logs, and environment configurations to pinpoint failures.
  • Use Case: When a user reports that a new feature "almost works" but fails silently, this skill verifies the request payload, API handler logic, and database response to identify the exact point of failure.

Quick Start

Ask the assistant to verify the full flow of the feature you are currently building to ensure the browser, API, and data layers are correctly integrated.

Frequently Asked Questions about verification

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

FAQPage Schema
How do I trace data flow from UI interactions to backend API responses for debugging?

End-to-end verification traces data flow from UI interactions to backend API responses by mapping user intent to specific routes, components, and endpoints. It systematically checks browser state, server logs, and environment configurations to pinpoint failures.

Why does my full-stack web application feature fail silently even though it almost works?

Silent failures in full-stack web applications often stem from broken data paths between browser, server, and database boundaries. Layered evidence gathering verifies request payloads, API handler logic, and database responses to identify the exact point of failure.

What is the best way to verify request-response consistency across browser, server, and database boundaries?

The best way to verify request-response consistency is performing end-to-end verification that automatically maps user intent to routes and endpoints. It applies automated observability and environment variable validation to confirm feature integrity across all layers.

Can I validate environment configurations and server logs when debugging full-stack features?

Yes, you can validate environment configurations and server logs during full-stack debugging. Layered evidence gathering systematically checks browser state alongside server logs and environment setups to ensure correct integration across data source boundaries.

Does end-to-end verification work for full-stack web applications with silent integration failures?

End-to-end verification works for full-stack web applications by tracing the entire data path from the browser UI through the API to the data source. It confirms feature integrity and validates request payloads when features fail silently across layers.