Agent skill

Code Review

by LAIJiangFeng in LAIJiangFeng/resume-builder

用于当前项目的 Claude 代码审查与评分。适用于“代码审查、PR/MR review、质量评分、风险评估”等任务,按 v2.0 规范输出 P0/P1/P2、总分、星级和合并结论,并且终端结果与落盘报告都必须使用中文,结果写入根目录 code-review 文件夹。

No licenceAuto-check passedDevelopment

Install Code Review

skills CLI
$ npx skills add LAIJiangFeng/resume-builder --skill code-review -a claude-code

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

GitHub CLI
$ gh skill install LAIJiangFeng/resume-builder 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/LAIJiangFeng/resume-builder.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/

Facts

Skill name
code-review
GitHub stars
247
Token cost
~356 tokens
SKILL.md length
72 words
Files
4 (incl. references)
Skills in repo
8
Repo updated
First seen
Licence
None found

At a glance

用于当前项目的 Claude 代码审查与评分。适用于“代码审查、PR/MR review、质量评分、风险评估”等任务,按 v2.0 规范输出 P0/P1/P2、总分、星级和合并结论,并且终端结果与落盘报告都必须使用中文,结果写入根目录 code-review 文件夹。

  • Works in 10 steps: 先读取 references/review-standard-v2.md… → 读取… → 通过 git branch --show-current… → …
  • Tasks that involve Code review
  • SKILL.md covers 审查流程, 输出约束 and 建议输出结构
  • Calls git

What it does

Code Review is an agent skill from LAIJiangFeng/resume-builder. 用于当前项目的 Claude 代码审查与评分。适用于“代码审查、PR/MR review、质量评分、风险评估”等任务,按 v2.0 规范输出 P0/P1/P2、总分、星级和合并结论,并且终端结果与落盘报告都必须使用中文,结果写入根目录 code-review 文件夹。

Its SKILL.md is about 360 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `agents/openai.yaml`, `references/project-review-focus.md` and `references/review-standard-v2.md`).

It sits in Development, covering Code review.

When your agent uses it

  • Tasks that involve Code review

Example prompts

  • “代码审查、PR/MR review、质量评分、风险评估”
  • “/code-review”

Workflow steps

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

  1. 先读取 references/review-standard-v2.md 作为评分与分级标准。
  2. 读取 references/project-review-focus.md,锁定本项目关键风险点。
  3. 通过 git branch --show-current 获取当前分支名,并将分支名中的 / 替换为 -,生成报告文件名,例如 feat/harness-engineering -> feat-harness-engineering.md。
  4. 将最终审查结果写入仓库根目录 code-review/ 文件夹,文件路径固定为 code-review/{sanitized-branch-name}.md。
  5. 结合代码与命令结果形成证据链(文件/行号)。
  6. 问题分组输出顺序固定
  7. 每个问题说明
  8. 严重等级与优先级映射固定为
  9. 根据扣分规则计算分数并映射星级。
  10. 用标准模板给出最终总结,并确保“终端输出内容”和“写入 md 文件内容”一致,且两者都必须使用中文。

What it can do on your machine

Read from SKILL.md and the folder at commit 1301cfc. 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

    Shell commands in SKILL.md call:

    • git

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    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 356 tokens when it runs, and up to ~1.4k if it reads all its reference files. Until then it costs about 37 tokens; SKILL.md has 72 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~37
When it runs · the whole SKILL.md, loaded when a task matches
~356
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.4k

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 72 words (~356 tokens).

name
code-review

Read the full SKILL.md on GitHub

Files

SKILL.md and 3 other files (references) in .claude/skills/code-review of LAIJiangFeng/resume-builder.

  • SKILL.md
  • agents/openai.yaml
  • references/project-review-focus.md
  • references/review-standard-v2.md

Open the folder on GitHubat commit 1301cfc

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
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Code Review this skillLAIJiangFeng/resume-builder247—~356Automated safety check: PassNone
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Code Review ChecklistshareAI-lab/learn-claude-code78k5 repos~1.1kAutomated safety check: PassMIT
Backend Code Reviewlangflow-ai/langflow156k—~3.5kAutomated safety check: NotesMIT
Understand Diff AnalysisEgonex-AI/Understand-Anything86k1 repos~1.4kAutomated safety check: PassMIT
Mole Bug Patternstw93/Mole70k—~2kAutomated safety check: PassGPL-3.0

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    69k GitHub starsUsed in 3 repos~4.2k tokens
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    Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.

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    86k GitHub starsUsed in 1 repo~1.4k tokens
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Categories

Questions about Code Review

What does Code Review do?

用于当前项目的 Claude 代码审查与评分。适用于“代码审查、PR/MR review、质量评分、风险评估”等任务,按 v2.0 规范输出 P0/P1/P2、总分、星级和合并结论,并且终端结果与落盘报告都必须使用中文,结果写入根目录 code-review 文件夹。. Code Review is an agent skill from LAIJiangFeng/resume-builder.

When should I use Code Review?

Code Review fits situations like: tasks that involve Code review.

How do I install Code Review in Claude Code?

Run `npx skills add LAIJiangFeng/resume-builder --skill code-review -a claude-code`. Or copy the skill folder (.claude/skills/code-review in LAIJiangFeng/resume-builder) 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 LAIJiangFeng/resume-builder --skill code-review -a codex`. Or copy the skill folder (.claude/skills/code-review in LAIJiangFeng/resume-builder) 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 LAIJiangFeng/resume-builder --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?

Going by SKILL.md and its folder, Code Review needs the command-line tools its instructions call (git).

Does Code Review access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. 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?

No licence was found for Code Review or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Code Review use?

About 356 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. Its references folder adds about 1.1k tokens, read only when the agent opens those files.

What are the alternatives to Code Review?

Skills that share tags, products or a category with Code Review: PR Babysitter (openinterpreter/openinterpreter, 69k stars), Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), Backend Code Review (langflow-ai/langflow, 156k stars) and Understand Diff Analysis (Egonex-AI/Understand-Anything, 86k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Code Review?

LAIJiangFeng (a GitHub user) maintains it in LAIJiangFeng/resume-builder, which has 247 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on August 29, 2026.

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