Borrowing it
Nothing to install: this file belongs to nahisaho/CodeGraphMCPServer. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/nahisaho/CodeGraphMCPServer/main/.claude/skills/code-reviewer/SKILL.mdgit clone --depth 1 https://github.com/nahisaho/CodeGraphMCPServerWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/nahisaho/codegraphmcpserver/code-reviewer)<a href="https://agentmods.dev/skills/nahisaho/codegraphmcpserver/code-reviewer"><img src="https://agentmods.dev/badge/skills/nahisaho/codegraphmcpserver/code-reviewer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/nahisaho/codegraphmcpserver/code-reviewer"><img src="https://agentmods.dev/badge/skills/nahisaho/codegraphmcpserver/code-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00072 | $0.09657 |
| Opus 5.5 | $0.00029 | $0.03863 |
| Sonnet 5.5 | $0.00014 | $0.01931 |
| Haiku 4.5 | $0.00007 | $0.00966 |
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 2mo 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.
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:
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.
- 2mo ago First seen · 1,036 lines · 72 tokens per session scan A a0cad37057fe
code-reviewer is a skill published in the GitHub repository nahisaho/CodeGraphMCPServer (14 stars, last pushed 11mo ago), licensed MIT. It adds 72 tokens to every session and 9,657 once invoked, about $0.0003 per session on Opus 5.5. 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.
code-reviewer compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| code-reviewernahisaho/CodeGraphMCPServer | Skill | 14 | 11mo ago | MIT | A | 72 | Claude Code |
| autoreviewopenclaw/clawhub | Skill | 9.5k | yesterday | MIT | A | 17 | Claude Code, Codex |
| agent-teams-simplify-and-hardenLeoYeAI/openclaw-master-skills | Skill | 2.2k | 6d ago | MIT | A | 115 | Claude Code, Codex |
| omh-code-reviewrlaope/oh-my-hermes | Skill | 5.2k | yesterday | MIT | A | 48 | Claude Code, Codex |
| revdiff-planumputun/revdiff | Skill | 945 | 2d ago | MIT | A | 84 | Claude Code |
| explore-unknownsdzhng/skills | Skill | 1.4k | 2d ago | MIT | A | 162 | Claude Code, Codex |
| re0-mergeLilMGenius/paperthin | Skill | 1.4k | 4d ago | MIT | A | 70 | Claude Code |