What happens if the implementation diverges from the design?

The skill will flag a 'Warning' in the Coherence dimension, detailing the contradiction and recommending either a code update or a revision of the design document.

How does the skill verify requirement implementation?

It performs keyword searches and file path analysis to find evidence of implementation for specific requirements defined in your delta specs, mapping them to code blocks.

Does this skill require external tools?

Yes, this skill requires the openspec CLI to be installed and accessible in your environment to fetch and parse change artifacts.

What is OpenSpec in the context of this skill?

OpenSpec is a framework used to manage specifications and changes, particularly useful for building knowledge bases for brownfield projects within the Deepfield ecosystem.

Can I use this if I only have a tasks.md file?

Yes, the skill features graceful degradation. If only a task list is available, it will verify task completion and skip the more advanced spec and design checks.

OpenSpec Implementation Verifier

Name: OpenSpec Implementation Verifier
Author: TomazWang

byTomazWang

•

Security & Testing

Verifies that code implementations accurately match specifications, tasks, and design requirements before archiving changes.

The OpenSpec Implementation Verifier is a quality assurance tool designed for developers working within the OpenSpec ecosystem. It automates the 'definition of done' by auditing your codebase against existing change artifacts such as specs, task lists, and design documents. By generating a detailed scorecard across three dimensions—completeness, correctness, and coherence—it ensures that no requirement is overlooked and that the implementation adheres to project patterns, significantly reducing the risk of technical debt and regression in complex brownfield projects.

Key Features

01Design adherence checks against architecture and decision documents

02Multi-dimensional reporting on Completeness, Correctness, and Coherence

03Prioritized issue reporting with actionable file and line references

041 GitHub stars

05Markdown task tracking with automated checkbox status parsing

06Automated requirement-to-code mapping and validation

Use Cases

01Validating a feature implementation is 100% complete before opening a pull request

02Automating the 'definition of done' checks in spec-driven development workflows

03Ensuring legacy code refactors in brownfield projects don't diverge from new architectural designs

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add tomazwang/deepfield openspec-verify-change

For use in Claude.ai and ChatGPT

Key Features

01Design adherence checks against architecture and decision documents

02Multi-dimensional reporting on Completeness, Correctness, and Coherence

03Prioritized issue reporting with actionable file and line references

041 GitHub stars

05Markdown task tracking with automated checkbox status parsing

06Automated requirement-to-code mapping and validation

Use Cases

01Validating a feature implementation is 100% complete before opening a pull request

02Automating the 'definition of done' checks in spec-driven development workflows

03Ensuring legacy code refactors in brownfield projects don't diverge from new architectural designs

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add tomazwang/deepfield openspec-verify-change

For use in Claude.ai and ChatGPT