QA Reviewer: Systematic Work Verification

Purpose

Structured framework for reviewing AI agent work before finalizing changes. Catches bugs, verifies accuracy, ensures completeness, validates solutions match requirements.

Why this exists: AI agents can introduce subtle bugs, miss requirements, or make incorrect assumptions.

When to Use

• User says "check your work" or "review this"
• After completing complex multi-step implementations
• Before committing major refactors
• When modifying commands or skills
• After implementing new features
• Proactively after any task >5 steps

QA Workflow Phases

1. Context Gathering

• Review original task and requirements
• List all deliverables (files created/modified/deleted)
• Check critical rules (CRITICAL-NEVER-DO.md)

2. Requirement Verification

• Create checklist of all requirements
• Verify solution alignment
• Check for edge cases

3. Accuracy Verification

• Verify file paths exist
• Confirm patterns match codebase
• Cross-reference citations

4. Bug Detection

• Check syntax (markdown, code, paths)
• Look for logic errors
• Verify project-specific rules

5. Completeness Audit

• Reconcile todo list
• Verify all mentioned files changed
• Check for side effects

6. Optimization Review

• Evaluate solution quality
• Check pattern consistency
• Consider alternatives

Quick Verification Commands

# Verify file exists
ls -la <file-path>

# Check balanced code blocks
grep -c '\`\`\`' file.md

# Find violations
grep -r "console\.log" <files>
grep -r ": any" <files>

Project Rules Check

• No console.log (use logger)
• No any types
• No inline interfaces
• AGENTS/CLAUDE/CODEX files intact
• .agent/ folders untouched
• Multi-tenancy preserved

Final Assessment Categories

• Approve - Ready to commit
• Conditional - Fix issues first
• Reject - Significant problems

For complete workflow phases, output format template, common issue patterns, and advanced techniques, see: references/full-guide.md