zero-script-qa

Validate features by enforcing structured JSON logs and real-time Docker monitoring.

2|1|Updated Mar 22, 2026
One-click install
npx skills add https://github.com/solitasroh/mcukit --skill zero-script-qa-solitasroh
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: zero-script-qa
Source: https://github.com/solitasroh/mcukit/tree/main/skills/zero-script-qa
Command: npx skills add https://github.com/solitasroh/mcukit --skill zero-script-qa-solitasroh

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Zero Script QA provides a log-centric testing methodology that verifies features without writing test scripts by enforcing structured JSON logs and real-time monitoring in a Dockerized environment. This approach ensures end-to-end visibility, immediate issue detection, and reproducible debugging across API, backend, and frontend layers.

Core Features & Use Cases

  • Log Everything: capture all API calls, errors, and business events with traceable request IDs across services.
  • Structured JSON Logs: consistent, parsable log fields that enable real-time analysis and correlation.
  • Real-time Monitoring: Docker log streaming and Claude Code analysis for instant issue detection.
  • Request ID Propagation: maintain the same request_id across client, gateway, and services for end-to-end tracing.
  • Backend Logging: middleware and business-logic logs that document flow and errors.
  • Frontend Logging: client-side logs for API calls, responses, and user actions.
  • QA Workflow: Docker Compose-based environment setup and live log monitoring for rapid feedback.
  • Issue Detection Patterns: automated guidance for identifying errors, latency, and failures from logs.

Quick Start

Start the Zero Script QA workflow in Claude Code to begin real-time log monitoring, structured logging, and automatic issue documentation.

Frequently Asked Questions about zero-script-qa

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

FAQPage Schema
How do I validate API features without writing test scripts?

Structured JSON logs enable script-free QA by capturing API calls, errors, and business events with traceable request IDs across services, allowing real-time Docker log streaming and Claude Code analysis for instant issue detection.

What is request ID propagation and how does it help with backend logging?

Request ID propagation maintains the same request_id across client, gateway, and services for end-to-end tracing. It correlates frontend and backend logging to document flow and errors across all layers.

Do I need a Docker environment to run real-time log monitoring for QA?

Yes, a Docker-based environment is required. The workflow uses Docker Compose for environment setup and Docker log streaming to provide live log monitoring and rapid feedback for QA workflows.

How do I set up structured JSON logging for frontend and API clients?

Set up logging middleware and design frontend and API clients to emit consistent structured JSON logs with traceable request IDs. This captures client-side API calls, responses, user actions, and business-logic flow.

Can automated log analysis detect latency and configuration errors across services?

Yes, automated log analysis detects errors, latency, and failures from logs using issue detection patterns. It provides automated guidance for identifying misconfigurations and performance issues across API, backend, and frontend layers.

What are the limitations of using Docker log streaming for QA instead of test scripts?

This approach requires a Docker-based environment, logging middleware setup, and clients designed to emit consistent logs with traceable request IDs. It may not suit environments lacking Docker or structured logging capabilities.