Can it be used for both frontend and backend tasks?

Yes, it includes specific verification logic for frontend design tokens and ARIA labels, as well as backend service layers and authentication middleware.

Does WS Verifier fix the code it reviews?

No, WS Verifier is designed strictly to read, analyze, and judge. It provides structured findings and actionable recommendations for improvement but never re-implements or modifies code.

How does WS Verifier handle repetitive issues in iterations?

It uses an iteration stabilization rule that detects persistent issues and either provides a more specific fix or adjusts the severity level to prevent unproductive loops.

What documentation does this skill require to function?

For established projects, it requires a playbook.md for patterns and a capability-map.md for reuse compliance, though it can operate in a 'deferred' mode for new projects.

What are the severity levels for findings?

Findings are rated as HIGH (architectural or security violations), MEDIUM (pattern deviations), or LOW (minor issues like spacing or unused imports).

WS Verifier

Name: WS Verifier
Author: Wondersauce

byWondersauce

•

Security & Testing

Reviews and validates implementation output against project documentation, coding standards, and specific task requirements.

WS Verifier is a specialized quality assurance agent designed to independently audit code output produced within an automated development lifecycle. By cross-referencing task definitions with project playbooks, capability maps, and architectural constraints, it provides objective pass/fail assessments with highly structured feedback. It functions as a strict reviewer that identifies architectural violations, pattern deviations, and reuse failures without altering the source code, ensuring that every task meets established standards and acceptance criteria before moving forward in the workflow.

Key Features

01Standardized severity reporting for architectural and stylistic findings

02Independent verification of code against specific task acceptance criteria

031 GitHub stars

04Pattern compliance validation using project-specific playbooks and style guides

05Reuse enforcement by auditing implementations against existing capability maps

06Iteration stabilization logic to prevent repetitive flagging loops during development

Use Cases

01Automated code review and quality gatekeeping during the development lifecycle

02Ensuring architectural consistency across complex software projects

03Validating that specific task requirements and edge cases are met before code completion

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add wondersauce/claude-code-plugin ws-verifier

For use in Claude.ai and ChatGPT

Key Features

01Standardized severity reporting for architectural and stylistic findings

02Independent verification of code against specific task acceptance criteria

031 GitHub stars

04Pattern compliance validation using project-specific playbooks and style guides

05Reuse enforcement by auditing implementations against existing capability maps

06Iteration stabilization logic to prevent repetitive flagging loops during development

Use Cases

01Automated code review and quality gatekeeping during the development lifecycle

02Ensuring architectural consistency across complex software projects

03Validating that specific task requirements and edge cases are met before code completion

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add wondersauce/claude-code-plugin ws-verifier

For use in Claude.ai and ChatGPT