How does the quality score work?

The skill calculates a weighted score out of 100 based on four dimensions: Completeness (40%), Consistency (30%), Clarity (20%), and Testability (10%).

Can I use this to check if my requirements are covered by tests?

Absolutely. By providing both a spec path and a requirements path, the skill performs a coverage check to ensure every requirement is mapped to at least one test case.

Can it automatically fix my documentation?

Yes, using the --fix flag allows the skill to automatically correct formatting errors, standardize ID prefixes, and insert missing template sections with placeholders.

What files can I validate with this skill?

You can validate markdown-based specification files, requirements documents, and test plans that follow structured templates for requirements (REQ) and test cases (TC).

Spec Validation Enforcer

Name: Spec Validation Enforcer
Author: xarlord

byxarlord

0•

Seguridad y Pruebas

Validates software specifications against requirements to ensure completeness, consistency, and testability within development workflows.

Spec Validation is a specialized Claude Code skill designed to automate the quality assurance of technical documentation and design artifacts. It performs deep analysis of specification files to identify missing test cases, inconsistent IDs, ambiguous language, and misaligned requirements. By scoring specifications across multiple dimensions—such as completeness, consistency, clarity, and testability—it provides actionable reports and auto-fix capabilities to ensure high-quality architectural design and clear implementation roadmaps before a single line of code is written.

Características Principales

01Auto-fix capabilities for standardizing formats and template placeholders

020 GitHub stars

03Consistency verification for ID formats, priorities, and status values

04Automated completeness checks linking requirements to test cases

05Multi-dimensional quality scoring for objective documentation audits

06Ambiguity detection to identify untestable or vague requirement language

Casos de Uso

01Pre-implementation design reviews to ensure all requirements have measurable acceptance criteria.

02Automating specification quality gates within CI/CD pipelines to block poorly defined features.

03Synchronizing requirements and test specifications during rapid project scope changes.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add xarlord/devflow-enforcer spec-validation

For use in Claude.ai and ChatGPT

Características Principales

01Auto-fix capabilities for standardizing formats and template placeholders

020 GitHub stars

03Consistency verification for ID formats, priorities, and status values

04Automated completeness checks linking requirements to test cases

05Multi-dimensional quality scoring for objective documentation audits

06Ambiguity detection to identify untestable or vague requirement language

Casos de Uso

01Pre-implementation design reviews to ensure all requirements have measurable acceptance criteria.

02Automating specification quality gates within CI/CD pipelines to block poorly defined features.

03Synchronizing requirements and test specifications during rapid project scope changes.