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Agent skill

Code Review

by ww-w-ai in ww-w-ai/bkit-claude-code

Code review — analyze quality, detect bugs, ensure best practices with actionable feedback.

Apache-2.0Auto-check: notesDevelopment

Install Code Review

skills CLI
$ npx skills add ww-w-ai/bkit-claude-code --skill code-review -a claude-code

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

GitHub CLI
$ gh skill install ww-w-ai/bkit-claude-code 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/ww-w-ai/bkit-claude-code.git skills-src && mkdir -p .claude/skills && cp -r skills-src/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
601
Token cost
~706 tokens
SKILL.md length
163 words
Files
1
Skills in repo
44
Repo updated
First seen
Licence
Apache-2.0

At a glance

Code review — analyze quality, detect bugs, ensure best practices with actionable feedback.

  • Works in 4 steps: Code Quality → Bug Detection → Security → …
  • Tasks that involve Code review
  • SKILL.md covers Arguments, Review Categories, Review Output Format and Agent Integration, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Code Review is an agent skill from ww-w-ai/bkit-claude-code. Code review — analyze quality, detect bugs, ensure best practices with actionable feedback. Triggers: code review, quality check, bug detection

Its SKILL.md is about 710 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. The repository describes itself as: bkit Vibecoding Kit - PDCA methodology + Claude Code mastery for AI-native development. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Code review

Example prompts

  • “/code-review”

Requirements

  • Pre-approved tools (allowed-tools): Read, Glob, Grep, LSP, Task, Bash

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Code Quality
  2. Bug Detection
  3. Security
  4. Performance

What it can do on your machine

Read from SKILL.md and the folder at commit 85b4913. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Glob
    • Grep
    • LSP
    • Task
    • Bash

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    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 706 tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 163 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~39
When it runs · the whole SKILL.md, loaded when a task matches
~706

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Glob, Grep, LSP, Task, Bash

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 ww-w-ai/bkit-claude-code at commit 85b4913, republished under its Apache-2.0 licence (© ww-w-ai). 163 words, ~706 tokens.

Download SKILL.mdSave it as .claude/skills/code-review/SKILL.md (or your agent's skills folder).
name
code-review
description
Code review — analyze quality, detect bugs, ensure best practices with actionable feedback. Triggers: code review, quality check, bug detection
allowed-tools
Read, Glob, Grep, LSP, Task, Bash
classification
workflow
classification-reason
Process automation persists regardless of model advancement
deprecation-risk
none
effort
high
argument-hint
[file|directory|pr]
user-invocable
true
agent
bkit:code-analyzer
imports
${PLUGIN_ROOT}/templates/pipeline/phase-8-review.template.md
pdca-phase
check
task-template
[Code-Review] {feature}

Code Review Skill

Skill for code quality analysis and review

Arguments

ArgumentDescriptionExample
[file]Review specific file/code-review src/lib/auth.ts
[directory]Review entire directory/code-review src/features/
[pr]PR review (PR number)/code-review pr 123

Review Categories

1. Code Quality
  • Duplicate code detection
  • Function/file complexity analysis
  • Naming convention check
  • Type safety verification
2. Bug Detection
  • Potential bug pattern detection
  • Null/undefined handling check
  • Error handling inspection
  • Boundary condition verification
3. Security
  • XSS/CSRF vulnerability check
  • SQL Injection pattern detection
  • Sensitive information exposure check
  • Authentication/authorization logic review
4. Performance
  • N+1 query pattern detection
  • Unnecessary re-render check
  • Memory leak pattern detection
  • Optimization opportunity identification

Review Output Format

## Code Review Report

### Summary
- Files reviewed: N
- Issues found: N (Critical: N, Major: N, Minor: N)
- Score: N/100

### Critical Issues
1. [FILE:LINE] Issue description
   Suggestion: ...

### Major Issues
...

### Minor Issues
...

### Recommendations
- ...

Agent Integration

This Skill calls the code-analyzer Agent for in-depth code analysis.

AgentRole
code-analyzerCode quality, security, performance analysis

Usage Examples

bash
# Review specific file
/code-review src/lib/auth.ts

# Review entire directory
/code-review src/features/user/

# PR review
/code-review pr 42

# Review current changes
/code-review staged

Confidence-Based Filtering

code-analyzer Agent uses confidence-based filtering:

ConfidenceDisplayDescription
High (90%+)Always shownDefinite issues
Medium (70-89%)Selectively shownPossible issues
Low (<70%)HiddenUncertain suggestions

PDCA Integration

  • Phase: Check (Quality verification)
  • Trigger: Auto-suggested after implementation
  • Output: docs/03-analysis/code-review-{date}.md

© ww-w-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/code-review of ww-w-ai/bkit-claude-code.

Open the folder on GitHubat commit 85b4913

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 skillww-w-ai/bkit-claude-code601—~706Automated safety check: NotesApache-2.0
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

Similar skills

  • PR Babysitter

    openinterpreter/openinterpreter

    Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.

    69k GitHub starsUsed in 3 repos~4.2k tokens
    DevelopmentAuto-check passed

  • Code Review Checklist

    shareAI-lab/learn-claude-code

    Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.

    78k GitHub starsUsed in 5 repos~1.1k tokens
    DevelopmentAuto-check passed

  • Backend Code Review

    langflow-ai/langflow

    Review backend code for quality, security, maintainability, and best practices based on established checklist rules.

    156k GitHub stars~3.5k tokensUpdated today
    DevelopmentAuto-check: notes

  • Understand Diff Analysis

    Egonex-AI/Understand-Anything

    Reads your git changes or a pull request against a prebuilt knowledge graph of the project to explain what changed, which components are affected and what is risky.

    86k GitHub starsUsed in 1 repo~1.4k tokens
    DevelopmentAuto-check passed

  • Mole Bug Patterns

    tw93/Mole

    A catalog of recurring bug shapes in the Mole Mac cleaner, used to review safety-sensitive diffs for deletion safety, unbounded commands, shell traps and weak tests.

    70k GitHub stars~2k tokensUpdated today
    DevelopmentAuto-check passed

  • Backend Code Review

    langgenius/dify

    Reviews backend code under api/ for concrete, reproducible defects, routes to rule packs for architecture, schema, repositories and SQLAlchemy, and ranks findings from P0 to P3.

    158k GitHub stars~676 tokensUpdated today
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Categories

Questions about Code Review

What does Code Review do?

Code review — analyze quality, detect bugs, ensure best practices with actionable feedback. Code Review is an agent skill from ww-w-ai/bkit-claude-code. Code review — analyze quality, detect bugs, ensure best practices with actionable feedback.

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 ww-w-ai/bkit-claude-code --skill code-review -a claude-code`. Or copy the skill folder (skills/code-review in ww-w-ai/bkit-claude-code) 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 ww-w-ai/bkit-claude-code --skill code-review -a codex`. Or copy the skill folder (skills/code-review in ww-w-ai/bkit-claude-code) 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 ww-w-ai/bkit-claude-code --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. Its frontmatter pre-approves these tools: Read, Glob, Grep, LSP, Task, Bash.

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 notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. 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 706 tokens (SKILL.md is roughly 2.8k 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: 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?

ww-w-ai (a GitHub organization) maintains it in ww-w-ai/bkit-claude-code, which has 601 GitHub stars. The repository holds 44 skills in this directory. The repository was last updated on September 27, 2026.

Source: ww-w-ai/bkit-claude-code on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.