reality-checker

Cross-check QA results against implementation evidence to issue readiness verdicts.

1|Updated Mar 13, 2026
One-click install
npx skills add https://github.com/coreymaypray/sloth-skill-tree --skill reality-checker-coreymaypray
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: reality-checker
Source: https://github.com/coreymaypray/sloth-skill-tree/tree/main/plugins/maycrest-ops/skills/reality-checker
Command: npx skills add https://github.com/coreymaypray/sloth-skill-tree --skill reality-checker-coreymaypray

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Reality-checking is crucial to avoid premature release claims; it stops fantasy approvals and enforces evidence-based production certification across integrations, QA, and release processes.

Core Features & Use Cases

  • Evidence-backed readiness reviews
  • Cross-references QA findings with actual implementation
  • End-to-end validation across mobile, backend, and CI
  • Generates a formal readiness verdict with recommended improvements

Quick Start

Trigger Reality Checker on your latest build to generate an evidence-backed readiness assessment.

Frequently Asked Questions about reality-checker

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

FAQPage Schema
How do I validate QA results against actual implementation evidence before a deployment?

To validate QA results against implementation evidence for deployment readiness, cross-reference test outputs and logs with actual build artifacts. This cross-checking enforces evidence-based ratings across mobile, backend, and CI pipelines to prevent premature release claims.

What is an evidence-based production readiness check?

An evidence-based production readiness check is a fidelity review that requires actual test outputs and logs to certify a release. It stops fantasy approvals by cross-referencing QA findings with implementation evidence across end-to-end integration audits.

Can I use a reality check for end-to-end integration audits across backend and mobile pipelines?

Yes, you can perform end-to-end integration audits across mobile, backend, and CI pipelines. The process validates deployment readiness by enforcing evidence-based ratings and cross-referencing QA findings with actual implementation evidence.

How do I generate a formal production-ready or needs work verdict for my latest build?

To generate a formal production-ready or NEEDS WORK verdict, trigger an evidence-backed readiness assessment on your latest build. The review cross-references QA findings with implementation evidence and outputs suggested improvements.

What is the best way to prevent premature release claims during CI integration testing?

The best way to prevent premature release claims during CI integration testing is enforcing evidence-based production certification. This requires validating actual test outputs and logs to ensure QA findings match implementation reality before deployment.

When should I not use an automated deployment readiness assessment?

You should not use an automated deployment readiness assessment when actual test outputs and logs are unavailable. The process enforces evidence-based ratings and cannot generate a reliable production-ready verdict without implementation evidence to cross-reference.