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Code Review Checklist

  • 18 installs
  • 8.1k repo stars
  • Updated August 4, 2026
  • vudovn/ag-kit

This is a copy of code-review-checklist by vudovn - installs and ranking accrue to the original listing.

Helps with ai & agent building tasks.

About

code-review-checklist is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.

  • code-review-checklist
  • AI & Agent Building
  • AI-coding skill

Code Review Checklist by the numbers

  • 18 all-time installs (skills.sh)
  • +1 installs in the week ending Jul 27, 2026 (Skillselion tracking)
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/vudovn/ag-kit --skill code-review-checklist

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Listed on Skillselion
Installs18
repo stars8.1k
Last updatedAugust 4, 2026
Repositoryvudovn/ag-kit

What it does

Helps with ai & agent building tasks.

Files

SKILL.mdMarkdownGitHub ↗

Code Review Checklist

Quick Review Checklist

Correctness

  • [ ] Code does what it's supposed to do
  • [ ] Edge cases handled
  • [ ] Error handling in place
  • [ ] No obvious bugs

Security

  • [ ] Input validated and sanitized
  • [ ] No SQL/NoSQL injection vulnerabilities
  • [ ] No XSS or CSRF vulnerabilities
  • [ ] No hardcoded secrets or sensitive credentials
  • [ ] AI-Specific: Protection against Prompt Injection (if applicable)
  • [ ] AI-Specific: Outputs are sanitized before being used in critical sinks

Performance

  • [ ] No N+1 queries
  • [ ] No unnecessary loops
  • [ ] Appropriate caching
  • [ ] Bundle size impact considered

Code Quality

  • [ ] Clear naming
  • [ ] DRY - no duplicate code
  • [ ] SOLID principles followed
  • [ ] Appropriate abstraction level

Testing

  • [ ] Unit tests for new code
  • [ ] Edge cases tested
  • [ ] Tests readable and maintainable

Documentation

  • [ ] Complex logic commented
  • [ ] Public APIs documented
  • [ ] README updated if needed

AI & LLM Review Patterns

Logic & Hallucinations

  • [ ] Chain of Thought: Does the logic follow a verifiable path?
  • [ ] Edge Cases: Did the AI account for empty states, timeouts, and partial failures?
  • [ ] External State: Is the code making safe assumptions about file systems or networks?

Prompt Engineering Review

// ❌ Vague prompt in code
const response = await ai.generate(userInput);

// ✅ Structured & Safe prompt
const response = await ai.generate({
  system: "You are a specialized parser...",
  input: sanitize(userInput),
  schema: ResponseSchema
});

Anti-Patterns to Flag

// ❌ Magic numbers
if (status === 3) { ... }

// ✅ Named constants
if (status === Status.ACTIVE) { ... }

// ❌ Deep nesting
if (a) { if (b) { if (c) { ... } } }

// ✅ Early returns
if (!a) return;
if (!b) return;
if (!c) return;
// do work

// ❌ Long functions (100+ lines)
// ✅ Small, focused functions

// ❌ any type
const data: any = ...

// ✅ Proper types
const data: UserData = ...

Review Comments Guide

// Blocking issues use 🔴
🔴 BLOCKING: SQL injection vulnerability here

// Important suggestions use 🟡
🟡 SUGGESTION: Consider using useMemo for performance

// Minor nits use 🟢
🟢 NIT: Prefer const over let for immutable variable

// Questions use ❓
❓ QUESTION: What happens if user is null here?

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