Does this skill support specific programming frameworks?

Yes, it includes specialized logic for modern frameworks including React 19, FastAPI, Pydantic AI, Tailwind v4, and TypeScript 5.x.

When should I load this skill in Claude Code?

You should load this skill at the beginning of any session where you intend to have Claude perform code analysis, audits, or PR reviews.

What is the primary benefit of the Review Verification Protocol?

The protocol ensures Claude doesn't report 'false positives' by requiring it to verify findings against the full codebase and documentation before flagging them to the developer.

How does it handle 'unused variable' false positives?

It mandates a global search for all references and checks for framework-specific exports, decorators, and dynamic dispatch before claiming a variable is unused.

Review Verification Protocol

Name: Review Verification Protocol
Author: existential-birds

byexistential-birds

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Collaboration Tools

Reduces false positives in code reviews by enforcing a mandatory multi-step verification process before reporting findings.

About

The Review Verification Protocol is a specialized quality-assurance skill designed to elevate the accuracy of AI-driven code reviews. It implements a rigorous 'verify-before-report' workflow that forces Claude to check full file contexts, search for cross-file usages, and validate framework-specific behaviors before flagging issues. By distinguishing between genuine bugs and intentional design patterns in modern stacks like React, FastAPI, and TypeScript, this skill helps development teams maintain high trust in automated reviews and avoid wasting time on non-issues.

Key Features

Framework-aware validation for React 19, Tailwind v4, and Pydantic AI
14 GitHub stars
Issue-specific verification checklists for memory leaks and race conditions
Contextual deep-dives to verify variable usages across entire repositories
Severity calibration to distinguish between blockers and style preferences
False-positive prevention for common patterns like React state setters and framework callbacks

Use Cases

Auditing large codebases for security vulnerabilities without generating noise
Performing high-fidelity automated code reviews for complex pull requests
Enforcing consistent review standards across multi-language projects (Python, Go, TS)

About

Key Features

Framework-aware validation for React 19, Tailwind v4, and Pydantic AI
14 GitHub stars
Issue-specific verification checklists for memory leaks and race conditions
Contextual deep-dives to verify variable usages across entire repositories
Severity calibration to distinguish between blockers and style preferences
False-positive prevention for common patterns like React state setters and framework callbacks

Use Cases

Auditing large codebases for security vulnerabilities without generating noise
Performing high-fidelity automated code reviews for complex pull requests
Enforcing consistent review standards across multi-language projects (Python, Go, TS)