test-evidence-review

Review automated tests and manual QA evidence for story sign-off verdicts.

47|12|Updated Jun 14, 2026
One-click install
npx skills add https://github.com/nuoyanruoshui/GodotGameFramework --skill test-evidence-review-nuoyanruoshui
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: test-evidence-review
Source: https://github.com/nuoyanruoshui/GodotGameFramework/tree/main/Godot/.claude/skills/test-evidence-review
Command: npx skills add https://github.com/nuoyanruoshui/GodotGameFramework --skill test-evidence-review-nuoyanruoshui

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill identifies gaps in automated tests and manual evidence that simple file-existence or pass/fail checks miss, helping teams determine whether stories have enough credible verification for QA sign-off.

Core Features & Use Cases

  • Test Quality Analysis: Reviews assertion coverage, edge cases, naming quality, and formula traceability in Logic and Integration tests.
  • Manual Evidence Review: Checks acceptance-criterion linkage, required sign-offs, screenshots, walkthroughs, and evidence freshness for Visual/Feel and UI stories.
  • Scope-Based Reporting: Audits a single story, the current sprint, or all stories within a system and assigns ADEQUATE, INCOMPLETE, or MISSING verdicts.
  • Use Case: Before closing a sprint, use this Skill to verify that every story has meaningful tests or complete evidence and to surface blocking gaps for QA follow-up.

Quick Start

Use the test evidence review skill to audit the stories in the current sprint and report any blocking or advisory evidence gaps.

Frequently Asked Questions about test-evidence-review

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

FAQPage Schema
How do I audit test evidence and verify assertion coverage before a sprint sign-off?

To audit test evidence before a sprint sign-off, review automated tests and manual QA artifacts to evaluate assertion coverage, edge cases, and evidence freshness, ensuring story verification is sufficient for release readiness.

What is adequate test evidence for QA sign-off on Visual and UI stories?

Adequate test evidence for QA sign-off on Visual and UI stories requires manual evidence review, checking acceptance-criterion linkage, required sign-offs, screenshots, walkthroughs, and evidence freshness to produce an ADEQUATE verdict.

How do I check if automated tests have sufficient edge case coverage for story verification?

Checking automated tests for edge case coverage involves reviewing test quality analysis to evaluate assertion coverage, naming quality, and formula traceability in Logic and Integration tests to identify gaps blocking story verification.

Can I audit test quality across multiple stories within a current sprint?

Yes, you can audit test quality across multiple stories by applying scope-based reporting to the current sprint, reviewing assertion coverage and manual evidence to assign ADEQUATE, INCOMPLETE, or MISSING verdicts for system-level audits.

What is the best way to identify missing acceptance criteria linkage in manual QA evidence?

The best way to identify missing acceptance criteria linkage is through manual evidence review, checking required sign-offs, screenshots, and walkthroughs to surface blocking gaps for QA follow-up before closing a sprint.

Why does a passing automated test still result in an incomplete story verification verdict?

A passing automated test results in an incomplete story verification verdict when test quality analysis reveals missing assertion coverage, poor naming, lack of formula traceability, or outdated manual evidence that fails sign-off requirements.