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ArcadeAI
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quality-reviewer

Review code changes against latest docs, versions, and security standards.

Updated Aug 23, 2026
Search Tags:#security#standards#code-review#web-research#latest-ecosystem
One-click install
npx skills add https://github.com/ArcadeAI/dexa --skill quality-reviewer-arcadeai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: quality-reviewer
Source: https://github.com/ArcadeAI/dexa/tree/main/.claude/skills/safeword-quality-reviewer
Command: npx skills add https://github.com/ArcadeAI/dexa --skill quality-reviewer-arcadeai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Performs deep quality reviews that verify code against the latest ecosystem, docs, and best practices via web research, beyond automated hooks.

Core Features & Use Cases

  • Web Research: Check latest versions and docs.
  • Standards Compliance: Validate against project standards.
  • Actionable Feedback: Provide concrete suggestions and fixes.

Quick Start

Trigger web-backed review when asked: "double check against latest docs" or "verify versions" and provide a detailed critique.

Frequently Asked Questions about quality-reviewer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I verify code against the latest documentation and ecosystem standards?▼

Deep code quality reviews verify your changes against current ecosystem docs, best practices, and security standards via web research. This ensures your code aligns with the latest versions, APIs, and architectural patterns before merge.

Can I check for deprecated APIs and security vulnerabilities in code changes?▼

Yes. Quality reviews detect deprecated APIs, version mismatches, and security concerns by cross-referencing current documentation. The Skill provides structured, actionable feedback on what to fix and why.

What's the difference between automated code hooks and deep quality reviews?▼

Automated hooks catch syntax and style issues. Deep reviews add web-backed ecosystem verification, deprecated API detection, security analysis, and architectural assessment—going beyond linters to validate functional correctness and best practices.

When should I request a deep review instead of relying on standard code review?▼

Request deep reviews when you need verification against latest docs or versions, require security checks, face edge cases, or assess architectural changes. Use it for pre-change validation or when standard reviews miss ecosystem-level concerns.

How do I get actionable feedback on code quality issues?▼

Deep reviews produce structured, actionable quality reports with concrete suggestions and fixes. The report highlights standards violations, version issues, and security gaps with specific guidance on remediation.

Does this work with my project's existing standards and tooling?▼

Yes. Reviews validate code against your project standards and current ecosystem. They complement existing automated hooks and integrate into pre-merge workflows without requiring additional dependencies or components.

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