quality-reviewer

Automate code quality reviews with web research against current ecosystem standards.

8|2|Updated Oct 27, 2025

Ready to run

npx skills add https://github.com/TheMostlyGreat/safeword --skill quality-reviewer-themostlygreat

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: quality-reviewer
Source: https://github.com/TheMostlyGreat/safeword/tree/main/.claude/skills/safeword-quality-reviewer
Command: npx skills add https://github.com/TheMostlyGreat/safeword --skill quality-reviewer-themostlygreat

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Performs deep quality reviews with web research to verify code against current ecosystem states, docs, and best practices.

Core Features & Use Cases

Web Research: Verify versions, security, and documentation against official sources.
Deep Analysis: Go beyond automatic hooks for architecture and trade-off insights.
Use Case: Before releasing a change, perform a thorough, internet-backed verification to ensure correctness and security.

Quick Start

Trigger a web-backed quality review for the latest change and summarize findings.

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 quality against the latest ecosystem versions and security standards?▼

Deep quality review automates verification of code against current ecosystem versions, documentation, and security standards using web research. It checks for outdated dependencies, known vulnerabilities, and compliance issues, then generates actionable findings to address gaps before release.

Can I review pull requests for architecture and performance trade-offs automatically?▼

Yes. Deep quality review analyzes pull request changes for architecture soundness and performance trade-offs beyond basic linting. It uses web research to evaluate decisions against current best practices and ecosystem patterns, surfacing insights to inform code changes.

What does web-backed code review actually check?▼

Web-backed review verifies latest library versions and official documentation, detects security issues and standards violations, evaluates architecture patterns, and assesses performance implications. It grounds findings in current ecosystem state rather than static rules.

Do I need to manually check security advisories if I use automated quality review?▼

No. Quality review includes security issue detection against current sources, checking dependencies for known vulnerabilities. It surfaces findings proactively so you don't need separate manual security verification before releasing changes.

How does deep quality review differ from standard code linting?▼

Quality review goes beyond linting by using web research to verify against live ecosystem state, checking documentation accuracy, evaluating architectural trade-offs, and detecting security issues. It provides context-aware insights rather than syntactic rule enforcement.

Can quality review work across multiple versions of dependencies?▼

Yes. Cross-version verification is a core feature, allowing review of code against multiple dependency versions. This ensures changes remain compatible across supported versions and identifies version-specific issues before deployment.