What is the 'Cynical Verification' mindset?

It is a protocol where the agent assumes the work is broken until proven otherwise, specifically looking for red flags like empty headers, 'garbage' data, or silent error handling.

Does this skill automatically fix the errors it finds?

No, it acts as an independent auditor to maintain objectivity. It reports issues and provides specific recommendations for the developer or primary agent to address.

How is the QA Verifier different from standard unit tests?

While unit tests check technical logic, the QA Verifier evaluates semantic correctness and user intent, ensuring the output is meaningful and free of placeholders or template artifacts.

Can I use this skill for non-coding tasks?

Yes, it is highly effective for verifying documentation, research, and technical writing through its Qualitative Assessment and Semantic Correctness modes.

QA Verifier Agent

Name: QA Verifier Agent
Author: nicsuzor

bynicsuzor

0•

Security & Testing

Provides rigorous, independent end-to-end verification to ensure code and outputs meet acceptance criteria beyond simple test passes.

The QA Verifier skill acts as a cynical, independent gatekeeper for Claude Code, ensuring that work actually achieves user goals rather than just reporting success. It evaluates tasks across three dimensions—output quality, process compliance, and semantic correctness—to catch placeholders, template artifacts, and silent failures that standard tests might miss. By assuming the default state of work is 'broken,' it provides a high-integrity verification layer that guarantees production-ready results and logical consistency before task completion.

Key Features

010 GitHub stars

02Multiple Operating Modes including QA Planning, Qualitative Assessment, and Integration Validation

03Independent Verdict Generation providing clear 'VERIFIED' or 'ISSUES' reports with fix recommendations

04Cynical Mindset Protocol that assumes failure by default to catch hidden bugs and placeholders

05Triple-Dimension Verification evaluating output quality, process compliance, and semantic correctness

06Automated Red Flag Detection for silent errors, empty sections, and suspicious output patterns

Use Cases

01Designing robust acceptance criteria and quality assurance plans for new project requirements

02Qualitative auditing of documentation and generated content to ensure it is meaningful and error-free

03Final verification of complex code changes and features before merging into production

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nicsuzor/academicops qa

For use in Claude.ai and ChatGPT

Download Skill