Agent skill

Code Review

Comprehensive code review guidance — process, checklist, feedback conventions.

Apache-2.0Auto-check passedDevelopment

Install Code Review

skills CLI

$ npx skills add OpenDCAI/DataMind --skill code-review -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install OpenDCAI/DataMind code-review --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/OpenDCAI/DataMind.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/code-review .claude/skills/code-review && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "code-review" agent skill from https://github.com/OpenDCAI/DataMind/tree/main/.claude/skills/code-review into .claude/skills/code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-review", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/OpenDCAI/DataMind/tree/main/.claude/skills/code-review

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add OpenDCAI/DataMind --skill code-review -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install OpenDCAI/DataMind code-review --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/OpenDCAI/DataMind.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/code-review .agents/skills/code-review && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "code-review" agent skill from https://github.com/OpenDCAI/DataMind/tree/main/.claude/skills/code-review into .agents/skills/code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-review", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add OpenDCAI/DataMind --skill code-review -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install OpenDCAI/DataMind code-review --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/OpenDCAI/DataMind.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/code-review .cursor/skills/code-review && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "code-review" agent skill from https://github.com/OpenDCAI/DataMind/tree/main/.claude/skills/code-review into .cursor/skills/code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-review", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/OpenDCAI/DataMind.git --path .claude/skills/code-review

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add OpenDCAI/DataMind --skill code-review -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install OpenDCAI/DataMind code-review --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/OpenDCAI/DataMind.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/code-review .gemini/skills/code-review && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "code-review" agent skill from https://github.com/OpenDCAI/DataMind/tree/main/.claude/skills/code-review into .gemini/skills/code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-review", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install OpenDCAI/DataMind code-review

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add OpenDCAI/DataMind --skill code-review -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/OpenDCAI/DataMind.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/code-review .github/skills/code-review && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "code-review" agent skill from https://github.com/OpenDCAI/DataMind/tree/main/.claude/skills/code-review into .github/skills/code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-review", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add OpenDCAI/DataMind --skill code-review -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install OpenDCAI/DataMind code-review --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/OpenDCAI/DataMind.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/code-review .opencode/skills/code-review && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "code-review" agent skill from https://github.com/OpenDCAI/DataMind/tree/main/.claude/skills/code-review into .opencode/skills/code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-review", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: code-review
GitHub stars: 406
Token cost: ~340 tokens
SKILL.md length: 111 words
Files: 1
Skills in repo: 3
Repo updated: Sep 20, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Comprehensive code review guidance — process, checklist, feedback conventions.

Works in 5 steps: 代码能正常编译和运行 → 所有单元测试通过 → 没有遗留的 TODO 或调试代码 → …
The user asks about code review flow
SKILL.md covers 适用场景, 一、审查流程, 二、审查重点 and 三、反馈规范, plus 1 more section
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Code Review is an agent skill from OpenDCAI/DataMind. Comprehensive code review guidance — process, checklist, feedback conventions. Use when the user asks about code review flow, review criteria, best practices, or how to give/receive review feedback.

Its SKILL.md is about 340 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Code review and Knowledge graphs. The repository describes itself as: All-in-one intelligent assistant powered by LlamaIndex — RAG, GraphRAG, NL2SQL, Skills & Memory with multimodal support. The licence is Apache-2.0.

When your agent uses it

The user asks about code review flow
Review criteria
How to give/receive review feedback

Example prompts

“/code-review”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

代码能正常编译和运行
所有单元测试通过
没有遗留的 TODO 或调试代码
代码风格符合团队规范
提交信息清晰描述了变更内容

What it can do on your machine

Read from SKILL.md and the folder at commit 61fd482. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Code Review loads about 340 tokens when it runs. Until then it costs about 53 tokens; SKILL.md has 111 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~53
When it runs · the whole SKILL.md, loaded when a task matches: ~340

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from OpenDCAI/DataMind at commit 61fd482, republished under its Apache-2.0 licence (© OpenDCAI). 111 words, ~340 tokens.

Download SKILL.mdSave it as .claude/skills/code-review/SKILL.md (or your agent's skills folder).

name: code-review
description: Comprehensive code review guidance — process, checklist, feedback conventions. Use when the user asks about code review flow, review criteria, best practices, or how to give/receive review feedback.
keywords: code review, 代码审查, PR, pull request, review, 审查

代码审查指南

适用场景

当用户咨询代码审查流程、审查标准、最佳实践等问题时，参考本指南进行回答。

一、审查流程

1.1 提交前自查

开发者在提交 Code Review 前应完成以下自查：

代码能正常编译和运行
所有单元测试通过
没有遗留的 TODO 或调试代码
代码风格符合团队规范
提交信息清晰描述了变更内容

1.2 审查步骤

了解背景: 阅读 PR 描述和关联的需求/Bug 单
整体浏览: 先看文件变更列表，理解改动范围
逐文件审查: 从核心逻辑文件开始，关注重点代码
运行验证: 对关键改动 checkout 代码本地运行验证
给出反馈: 区分"必须修改"和"建议优化"

二、审查重点

2.1 功能正确性

逻辑是否正确，边界条件是否处理
异常情况是否妥善处理（空值、超时、并发）
数据校验是否充分

2.2 代码质量

维度	检查项
可读性	命名是否清晰，注释是否必要且准确
简洁性	是否有重复代码可提取，逻辑是否过于复杂
可维护性	是否易于扩展，依赖是否合理
一致性	是否遵循项目现有的代码风格和模式

2.3 安全性

用户输入是否做了校验和转义
SQL 是否使用参数化查询（防注入）
敏感数据是否加密存储
API 接口是否有鉴权

2.4 性能

是否有 N+1 查询问题
大数据量操作是否有分页
是否有不必要的重复计算
数据库查询是否使用了索引

三、反馈规范

3.1 反馈分级

[MUST]: 必须修改，存在 Bug 或安全隐患
[SHOULD]: 建议修改，影响代码质量
[NICE]: 可选优化，锦上添花

3.2 反馈示例

好的反馈：

[MUST] 这里没有处理 user 为 null 的情况，当用户未登录时会抛出 NullPointerException。建议加一个空值检查。

不好的反馈：

这段代码有问题。

四、审查效率建议

单次审查不超过 400 行代码
审查时间不超过 60 分钟
使用工具辅助（静态分析、CI 检查）
重要改动应有两人以上审查

Files

Just SKILL.md in .claude/skills/code-review of OpenDCAI/DataMind.

Open the folder on GitHubat commit 61fd482

Compare with similar skills

Code Review next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Code Review compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Code Review this skillOpenDCAI/DataMind	406	—	~340	Automated safety check: Pass	Apache-2.0	17 days ago
Understand Diff AnalysisEgonex-AI/Understand-Anything	85k	1 repos	~1.4k	Automated safety check: Pass	MIT	yesterday
Knowledge Graph PR Reviewtirth8205/code-review-graph	32k	—	~452	Automated safety check: Pass	MIT	today
Code Review Graph Buildertirth8205/code-review-graph	32k	—	~295	Automated safety check: Pass	MIT	today
Graphxwtro0tk1t-cloud/harness	265	—	~1.1k	Automated safety check: Pass	None	5 mo ago
Codexqa Code Wikiopenqa-cn/codexqa	152	—	~1.3k	Automated safety check: Pass	Apache-2.0	4 days ago

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Questions about Code Review

What does Code Review do?

Comprehensive code review guidance — process, checklist, feedback conventions. Code Review is an agent skill from OpenDCAI/DataMind. Comprehensive code review guidance — process, checklist, feedback conventions.

When should I use Code Review?

Code Review fits situations like: the user asks about code review flow; review criteria; how to give/receive review feedback.

How do I install Code Review in Claude Code?

Run `npx skills add OpenDCAI/DataMind --skill code-review -a claude-code`. Or copy the skill folder (.claude/skills/code-review in OpenDCAI/DataMind) into .claude/skills/code-review in your project. Claude Code loads it when a task matches its description.

How do I install Code Review in Codex?

Run `npx skills add OpenDCAI/DataMind --skill code-review -a codex`. Or copy the skill folder (.claude/skills/code-review in OpenDCAI/DataMind) into .agents/skills/code-review in your project. Codex loads it when a task matches its description.

Can I use Code Review in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add OpenDCAI/DataMind --skill code-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/code-review, .gemini/skills/code-review, .github/skills/code-review and .opencode/skills/code-review in your project.

What does Code Review need to run?

SKILL.md names no scripts, command-line tools or credentials: Code Review is instructions for the agent only.

Does Code Review access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Code Review safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Code Review use?

Code Review is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Code Review use?

About 340 tokens (SKILL.md is roughly 1.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Code Review?

Skills that share tags, products or a category with Code Review: Understand Diff Analysis (Egonex-AI/Understand-Anything, 85k stars), Knowledge Graph PR Review (tirth8205/code-review-graph, 32k stars), Code Review Graph Builder (tirth8205/code-review-graph, 32k stars) and Graph (xwtro0tk1t-cloud/harness, 265 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Code Review?

OpenDCAI (a GitHub organization) maintains it in OpenDCAI/DataMind, which has 406 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on September 20, 2026.

Source: OpenDCAI/DataMind on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Code Review

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

代码审查指南

适用场景

一、审查流程

1.1 提交前自查

1.2 审查步骤

二、审查重点

2.1 功能正确性

2.2 代码质量

2.3 安全性

2.4 性能

三、反馈规范

3.1 反馈分级

3.2 反馈示例

四、审查效率建议

Files

Compare with similar skills

Similar skills

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Related

Questions about Code Review