code-review

code-review is a skill for Claude Code, Codex from JackyST0/awesome-agent-skills. It costs 22 tokens per session (607 once invoked), scanned A, original, CC0-1.0.

A code-review guide for examining source code and reporting problems, risks, and possible improvements.

In plain words
What is it for?
Use it to review code, find defects or security concerns, suggest concrete changes, and produce a structured review report.
Why use it?
It helps developers systematically look for syntax, logic, security, performance, style, readability, and maintainability issues.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to review code, find defects or security concerns, suggest concrete changes, and produce a structured review report.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jackyst0/awesome-agent-skills/code-review
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.

Any agent
npx skills add JackyST0/awesome-agent-skills --skill code-review
Clone the repo
git clone --depth 1 https://github.com/JackyST0/awesome-agent-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for code-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/jackyst0/awesome-agent-skills/code-review/github.svg)](https://agentmods.dev/skills/jackyst0/awesome-agent-skills/code-review)
Your own site
<a href="https://agentmods.dev/skills/jackyst0/awesome-agent-skills/code-review"><img src="https://agentmods.dev/badge/skills/jackyst0/awesome-agent-skills/code-review/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.

agentmods 80×15 button for code-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/jackyst0/awesome-agent-skills/code-review"><img src="https://agentmods.dev/badge/skills/jackyst0/awesome-agent-skills/code-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 607 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00022 $0.00607
Opus 5 $0.00011 $0.00303
Sonnet 5 $0.00004 $0.00121
Haiku 4.5 $0.00002 $0.00061

Measured 9d ago against content hash d7a8599406b7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, 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 9d 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.

examples/code-review/SKILL.md · 89 lines

What it actually says

Code Review

智能代码审查技能,帮助审查代码质量、发现潜在问题、提供改进建议。

Smart code review skill that helps review code quality, identify potential issues, and provide improvement suggestions.

When to Use

当用户请求以下操作时使用此 skill:

  • 审查代码 / Review code
  • 检查代码质量 / Check code quality
  • 寻找代码中的问题 / Find issues in code
  • 请求代码改进建议 / Request improvement suggestions

Instructions

审查步骤 / Review Steps

  1. 阅读代码 - 仔细阅读提供的代码
  2. 检查问题
    • 语法错误 / Syntax errors
    • 逻辑问题 / Logic issues
    • 安全隐患 / Security vulnerabilities
    • 性能问题 / Performance issues
    • 代码风格 / Code style
  3. 提供建议 - 给出具体的改进建议
  4. 输出报告 - 使用标准格式生成审查报告

输出格式 / Output Format

## 代码审查报告 / Code Review Report

### 概述 / Summary
[简要总结 / Brief summary]

### 发现的问题 / Issues Found
- [ ] 问题 1 / Issue 1
- [ ] 问题 2 / Issue 2

### 改进建议 / Suggestions
1. 建议 1 / Suggestion 1
2. 建议 2 / Suggestion 2

### 评分 / Score
- 代码质量 / Code Quality: X/10
- 可读性 / Readability: X/10
- 可维护性 / Maintainability: X/10

Examples

输入 / Input

def calc(x,y):
    return x+y

输出 / Output

代码审查报告

概述

简单的加法函数,存在命名和格式问题。

发现的问题

  • 函数名 calc 不具描述性
  • 缺少类型提示
  • 缺少文档字符串
  • 运算符周围缺少空格

改进建议

  1. 将函数重命名为 add_numbers
  2. 添加类型提示:def add_numbers(x: int, y: int) -> int:
  3. 添加 docstring 说明函数用途
  4. 遵循 PEP 8 格式规范

评分

  • 代码质量: 6/10
  • 可读性: 7/10
  • 可维护性: 5/10
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. 9d ago First seen · 89 lines · 22 tokens per session scan A d7a8599406b7

Subscribe to this mod's changes

code-review is a skill published in the GitHub repository JackyST0/awesome-agent-skills (632 stars, last pushed today), licensed CC0-1.0. It adds 22 tokens to every session and 607 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 2026-08-30.