Reality Checker

Validate web app production readiness against specification and QA evidence.

110|18|Updated Mar 25, 2026
One-click install
npx skills add https://github.com/TravisLeeeeee/awesome-openclaw-personas --skill reality-checker-travisleeeeee
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Reality Checker
Source: https://github.com/TravisLeeeeee/awesome-openclaw-personas/tree/main/personas/testing/reality-checker
Command: npx skills add https://github.com/TravisLeeeeee/awesome-openclaw-personas --skill reality-checker-travisleeeeee

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Prevents unreliable “production ready” certifications by forcing evidence-based integration testing and specification-to-reality validation before approval.

Core Features & Use Cases

  • Independent evidence validation: Cross-checks claimed QA outcomes by running verification commands and reviewing screenshot artifacts and test-results.json.
  • End-to-end user journey testing: Validates real flows (e.g., homepage load, navigation interactions, contact form behavior) across desktop, tablet, and mobile evidence sets.
  • Spec compliance reality checking: Requires quoting the original specification text and comparing it to what automated screenshots and performance metrics actually demonstrate, then classifies PASS/FAIL with gaps called out.
  • Automatic failure triggers: Flags premature “zero issues found,” inflated scoring, and unsupported “luxury/premium” claims without evidence.

Quick Start

Run the Reality Checker persona against your deployed environment, ensuring it captures Playwright screenshots and compares them against prior QA claims and specification requirements.

Frequently Asked Questions about Reality Checker

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

FAQPage Schema
How do I validate production readiness using actual UI screenshots instead of manual claims?

Production readiness validation requires capturing automated Playwright screenshots and cross-checking them against prior QA claims and specification text to ensure implementation evidence matches before certifying approval.

What is spec-to-reality gap analysis in end-to-end integration testing?

Spec-to-reality gap analysis compares original specification text against actual automated screenshots and performance metrics to classify PASS or FAIL criteria, explicitly calling out discrepancies between claimed behavior and demonstrated evidence.

How do I run cross-device integration testing for desktop, tablet, and mobile user journeys?

Cross-device integration testing validates real user flows like homepage loads, navigation interactions, and form workflows by capturing and reviewing Playwright screenshot evidence sets across desktop, tablet, and mobile viewport configurations.

Can I use Playwright screenshots to cross-check QA validation results?

Yes, Playwright screenshots and test-results.json files are used to independently cross-check claimed QA outcomes by running verification commands and reviewing artifact evidence against the findings.

Why does automated readiness scoring flag premature zero issues found claims?

Automated readiness scoring flags premature zero issues found claims to prevent unreliable approvals, specifically targeting inflated scoring and unsupported premium claims that lack concrete screenshot or performance evidence.

What are the limitations of evidence-based review for production certification?

Evidence-based review requires deployed environments with accessible Playwright screenshot capture and test-results.json files, meaning it cannot validate readiness for environments where automated UI artifacts cannot be generated or independently verified.