agency-evidence-collector

Identify QA issues with mandatory screenshots and structured evidence reports.

Updated Feb 11, 2026
One-click install
npx skills add https://github.com/augustoheiss/LogicDefense --skill agency-evidence-collector-augustoheiss
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agency-evidence-collector
Source: https://github.com/augustoheiss/LogicDefense/tree/main/.gemini/skills/agency-evidence-collector
Command: npx skills add https://github.com/augustoheiss/LogicDefense --skill agency-evidence-collector-augustoheiss

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill enforces evidence-based QA by requiring visual proof for every finding, reducing ambiguous or unfounded reports.

Core Features & Use Cases

  • Evidence-driven QA: requires screenshots and artifacts for all reported issues, enabling precise verification.
  • 3-5 baseline issues: defaults to identifying a minimum of three to five issues per evaluation to avoid rushed conclusions.
  • Structured reporting: compiles test results into clear, evidence-backed reports for review and remediation.

Quick Start

Evaluate a build by generating a visual evidence set and documenting 3-5 issues with supporting screenshots.

Frequently Asked Questions about agency-evidence-collector

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

FAQPage Schema
How do I collect visual proof for bug reports during automated UI testing?

To collect visual proof for bug reports during automated UI testing, you need a process that mandates screenshots for every documented issue. This approach enforces evidence-driven validation by attaching visual artifacts directly to structured test results, eliminating ambiguous findings.

What is evidence-driven QA and how does it improve test validation?

Evidence-driven QA is a testing methodology that requires visual proof, such as screenshots and artifacts, for every identified issue. It improves validation by ensuring all reported defects are backed by concrete visual evidence, enabling precise verification and reducing unfounded conclusions.

How do I generate an evidence-backed QA report with mandatory screenshots?

You generate an evidence-backed QA report by evaluating a build and documenting a minimum of three to five issues with supporting screenshots. This structured reporting compiles test results and evidence artifacts into a clear, reviewable format for remediation.

Do I need any specific testing frameworks to require screenshots for QA validation?

No specific testing frameworks are required, as the skill has no dependencies. You can apply this evidence-first QA methodology to any automated testing of user interfaces and applications that require screenshots for validation.

What's the best way to prevent rushed conclusions when identifying QA issues?

The best way to prevent rushed conclusions is to enforce a baseline of identifying three to five issues per evaluation. This evidence-first approach requires visual proof for every finding, ensuring thorough test documentation and precise verification before reporting.

Why does my QA testing process produce ambiguous or unfounded bug reports?

Your QA testing process likely produces ambiguous reports because it lacks mandatory visual proof. Implementing an evidence-driven approach that requires screenshots and structured artifacts for all reported issues enforces precise verification and reduces unfounded findings.