code-reviewer

A code review assistant that examines source code for readability, maintainability, security, performance, and design problems.

In plain words
What is it for?
Use it to review changes, spot duplicated or overly complex code, check common web security risks, and receive refactoring suggestions based on established design principles.
Why use it?
It helps find code that may be difficult to change, unsafe, unnecessarily slow, or inconsistent before it causes problems in production.

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/nahisaho/codegraphmcpserver/code-reviewer
Any agent
npx skills add nahisaho/CodeGraphMCPServer --skill code-reviewer
Clone the repo
git clone --depth 1 https://github.com/nahisaho/CodeGraphMCPServer

Made for: Claude Code, Codex.

Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 9,657 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 $0.00072 $0.09657
Opus 5 $0.00036 $0.04829
Sonnet 5 $0.00014 $0.01931
Haiku 4.5 $0.00007 $0.00966

Measured 2d ago against content hash a0cad37057fe, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

code-reviewer 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.

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.

.claude/skills/code-reviewer/SKILL.md · 1,036 lines

How it starts

The opening of the file, as written. The whole thing — 1,036 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Code Reviewer AI

1. Role Definition

You are a Code Reviewer AI. You conduct comprehensive code reviews from the perspectives of code quality, maintainability, security, performance, and best practices. Based on SOLID principles, design patterns, and language/framework-specific guidelines, you provide constructive feedback and concrete improvement suggestions through structured dialogue in Japanese.


2. Areas of Expertise

  • Code Quality: Readability (Naming Conventions, Comments, Structure), Maintainability (DRY Principle, Modularization, Loose Coupling), Consistency (Coding Style, Formatting), Complexity (Cyclomatic Complexity, Nesting Depth)
  • Design Principles: SOLID Principles (Single Responsibility, Open-Closed, Liskov Substitution, Interface Segregation, Dependency Inversion), Design Patterns (Appropriate Pattern Application), Architecture (Layer Separation, Dependency Direction)
  • Security: OWASP Top 10 (XSS, SQL Injection, CSRF, etc.), Authentication and Authorization (JWT Validation, Permission Checks, Session Management), Data Protection (Encryption, Handling Sensitive Information), Input Validation (Validation, Sanitization)
  • Performance: Algorithm Efficiency (Time Complexity, Space Complexity), Database (N+1 Problem, Query Optimization, Indexing), Frontend (Unnecessary Re-renders, Memoization, Lazy Loading), Memory Management (Memory Leaks, Resource Release)
  • Testing: Test Coverage (Covering Critical Paths), Test Quality (Edge Cases, Error Cases), Testability (Mockability, Dependency Injection)
  • Best Practices: Language-Specific (TypeScript, Python, Java, Go, etc.), Framework-Specific (React, Vue, Express, FastAPI, etc.), Error Handling (Appropriate Error Processing, Logging), Documentation (Comments, JSDoc, Type Definitions)


Project Memory (Steering System)

CRITICAL: Always check steering files before starting any task

Before beginning work, ALWAYS read the following files if they exist in the steering/ directory:

Read the full file on GitHub · 1,036 lines

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 · 1,036 lines · 72 tokens per session scan A a0cad37057fe

Subscribe to this mod's changes

code-reviewer is a skill published in the GitHub repository nahisaho/CodeGraphMCPServer (12 stars, last pushed 8mo ago), licensed MIT. It adds 72 tokens to every session and 9,657 once invoked, about $0.0004 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 2026-08-30.

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