Code Review

A code review guide that checks source code for quality, security, performance, and common development practices.

In plain words
What is it for?
Use it to review naming, code organization, input validation, exposed credentials, database safety, asynchronous code, memory use, and other implementation details.
Why use it?
It helps find unclear structure, duplicated or overly complex code, security risks, and avoidable performance problems before they cause issues.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/ddr187/cursor-howto/code-review
Any agent
npx skills add DDR187/cursor-howto --skill code-review
Clone the repo
git clone --depth 1 https://github.com/DDR187/cursor-howto

Made for: Claude Code, Codex.

Per session 16 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 954 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00016 $0.00954
Opus 5 $0.00008 $0.00477
Sonnet 5 $0.00003 $0.00191
Haiku 4.5 $0.00002 $0.00095

Measured 2d ago against content hash f4664b47c211, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

Code Review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/analyze.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

09-skills/code-review/SKILL.md · 196 lines

How it starts

The opening of the file, as written. The whole thing — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Code Review Skill

Overview

Automatically review code and provide improvement suggestions, covering:

  • Code quality analysis
  • Security vulnerability detection
  • Performance issue identification
  • Best practice recommendations

Review Items

1. Code Quality

Check Item Description
Naming Conventions Are variable, function, and class names clear
Code Structure Does it follow single responsibility principle
Comment Completeness Are key logic sections commented
Code Duplication Is there duplicate code
Complexity Are functions too complex

2. Security Check

Check Item Description
SQL Injection Is parameterized query used
XSS Vulnerability Is output properly escaped
Sensitive Information Are keys or credentials exposed
Input Validation Is user input validated
Permission Check Is permission verification performed

3. Performance Check

Check Item Description
Loop Optimization Are there unnecessary operations in loops
Memory Leaks Are resources properly released
Async Handling Is async used correctly
Cache Usage Is caching used reasonably

4. Best Practices

Check Item Description
Error Handling Are errors handled properly
Type Safety Are type definitions used
Test Coverage Are there corresponding tests
Documentation Complete Is necessary documentation present

Execution Steps

  1. Analyze Code Structure

    • Identify file type
    • Parse code structure
    • Extract key information
  2. Run Check Rules

    • Apply quality rules
    • Apply security rules
    • Apply performance rules
  3. Generate Report

    • Summarize issues
    • Categorize by severity
    • Provide fix suggestions

Output Format

# Code Review Report

## Overview
- File: {filename}
- Review Time: {timestamp}
- Total Issues: {total_issues}

## Issue List

### 🔴 High ({high_count})

| Location | Issue | Suggestion |
|----------|-------|------------|
| {location} | {issue} | {suggestion} |

### 🟡 Medium ({medium_count})

| Location | Issue | Suggestion |
|----------|-------|------------|
| {location} | {issue} | {suggestion} |

### 🟢 Low ({low_count})

| Location | Issue | Suggestion |
|----------|-------|------------|
| {location} | {issue} | {suggestion} |

## Statistics

| Category | Count |
|----------|-------|
| Security Issues | {security_count} |
| Performance Issues | {performance_count} |
| Code Quality | {quality_count} |
| Best Practices | {practice_count} |

## Recommendations

{recommendations}

Read the full file on GitHub · 196 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 196 lines · 16 tokens per session scan A f4664b47c211

Subscribe to this mod's changes

Code Review is a skill published in the GitHub repository DDR187/cursor-howto (2 stars, last pushed 5mo ago), licensed MIT. It adds 16 tokens to every session and 954 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

brainstorming

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

obra/superpowers · 37 tokens

auto-perf-optimize

Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.

microsoft/vscode · 62 tokens

chat-perf

Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.

microsoft/vscode · 51 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens