Can it handle tests for different programming languages?

Yes, it automatically identifies test runners from project configurations such as package.json, pyproject.toml, or Makefiles.

Where is the final QA report stored?

A detailed JSON report is saved to logs/working/qa-report.json, and a concise summary is appended to your decisions.md file.

What files does the Pre-Deploy QA skill require?

It requires user-spec.md and tech-spec.md to verify implementation against requirements, along with decisions.md to track any plan deviations.

What happens if a feature requires a live environment to test?

The skill marks these as 'not_verifiable' and adds them to a 'deferredToPostDeploy' section in the report for live verification.

How does the skill determine if a QA run passed or failed?

The status is marked as 'failed' if any critical findings are detected or if the primary test suite fails; otherwise, it is 'passed'.

Pre-Deploy QA Assistant

Name: Pre-Deploy QA Assistant
Author: servitola

byservitola

•

安全与测试

Automates pre-deployment acceptance testing by validating code against technical specifications and running comprehensive test suites.

The Pre-Deploy QA skill provides a rigorous methodology for verifying software quality before it reaches production. It orchestrates the execution of unit, integration, and E2E tests while systematically checking feature implementations against user and technical specifications. By analyzing test coverage and mapping results to specific acceptance criteria, it generates detailed JSON reports and classifies findings by severity. This skill ensures that no critical blockers reach the deployment phase and creates a clear handoff for post-deployment verification of live-only features.

主要功能

01Direct verification of features against user and technical specifications

02Smart identification of criteria requiring post-deployment live verification

03Automated execution of multi-tier test suites (unit, integration, E2E)

04Structured JSON reporting with severity classification (Critical, Major, Minor)

0512 GitHub stars

06Comprehensive test coverage analysis for modified files and edge cases

使用场景

01Ensuring technical acceptance criteria are met in complex legacy refactors

02Validating a new feature implementation before merging into the main branch

03Automated generation of QA audit logs for project documentation and compliance

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add servitola/dotfiles pre-deploy-qa

For use in Claude.ai and ChatGPT