GSD Verifier

Verify implemented work against project specifications and generate VERIFICATION.md findings.

Updated Mar 9, 2026
One-click install
npx skills add https://github.com/apsulli/gmail-intel --skill gsd-verifier-apsulli
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: GSD Verifier
Source: https://github.com/apsulli/gmail-intel/tree/main/.opencode/skills/verifier
Command: npx skills add https://github.com/apsulli/gmail-intel --skill gsd-verifier-apsulli

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Validates that implemented work meets defined specifications by gathering empirical evidence, not relying on claims alone.

Core Features & Use Cases

  • Structured verification: Checks for presence of required artifacts, wiring, and test coverage to ensure compliance with the spec.
  • Evidence-driven assessment: Produces verifiable artifacts like VERIFICATION.md that document observed truths and gaps.
  • Repeatable process: Guides teams through automated checks, human review, and gap reporting to close deficiencies.

Quick Start

Run a verification plan against a codebase to generate a VERIFICATION.md.

Frequently Asked Questions about GSD Verifier

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

FAQPage Schema
How do I verify implemented work meets project specifications using empirical evidence?

To verify implemented work against specifications using empirical evidence, you run a verification plan that checks for artifact existence, functional wiring, and test coverage, generating a VERIFICATION.md with structured findings and gaps.

What is evidence-driven code review and how does it document gaps?

Evidence-driven code review validates software compliance by gathering observable artifacts rather than relying on claims, documenting observed truths and gaps in a structured VERIFICATION.md file for reproducible assessments.

How to generate a VERIFICATION.md for software quality assurance?

You generate a VERIFICATION.md for quality assurance by applying a verification workflow to reviewable phases, checking for required artifacts and test coverage, then outputting structured findings and gap reports.

Does empirical verification work for reviewable phases in process documentation?

Yes, empirical verification applies to reviewable phases by checking for artifact existence, functional wiring, and test coverage, documenting the workflow including must-haves and gaps to enable reproducible assessments.

Why does relying on claims alone fail for testing and quality assurance?

Relying on claims alone fails for quality assurance because it lacks verifiable artifacts; empirical verification gathers observable evidence of functional wiring and test coverage to ensure actual compliance with defined specifications.

What are the limitations of automated checks in a verification workflow?

Automated checks in a verification workflow are limited to verifying artifact existence and test coverage, requiring human review to close deficiencies and assess qualitative gaps not captured by automated functional wiring checks.