Agent skill

Code Reviewer

by jewbetcha in jewbetcha/opentrace

Comprehensive code review skill for TypeScript, JavaScript, Python, Swift, Kotlin, Go.

MITAuto-check: notesDevelopment

Install Code Reviewer

skills CLI
$ npx skills add jewbetcha/opentrace --skill code-reviewer -a claude-code

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

GitHub CLI
$ gh skill install jewbetcha/opentrace code-reviewer --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/jewbetcha/opentrace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/code-reviewer .claude/skills/code-reviewer && 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-reviewer
GitHub stars
116
Used in
2 other repos
Token cost
~1.1k tokens
SKILL.md length
300 words
Files
7 (incl. scripts, references)
Skills in repo
4
Repo updated
First seen
Licence
MIT

At a glance

Comprehensive code review skill for TypeScript, JavaScript, Python, Swift, Kotlin, Go.

  • Works in 6 steps: Pr Analyzer → Code Quality Checker → Review Report Generator → …
  • Reviewing pull requests
  • SKILL.md covers Quick Start, Core Capabilities, Reference Documentation and Tech Stack, plus 5 more sections
  • Runs Python scripts from its folder; calls python, npm and pip

What it does

Code Reviewer is an agent skill from jewbetcha/opentrace. Comprehensive code review skill for TypeScript, JavaScript, Python, Swift, Kotlin, Go. Includes automated code analysis, best practice checking, security scanning, and review checklist generation. Use when reviewing pull requests, providing code feedback, identifying issues, or ensuring code quality standards.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts and reference files (for example `references/code_review_checklist.md`, `references/coding_standards.md` and `references/common_antipatterns.md`).

It sits in Development, covering Code review, Code quality and Android development. It works with JavaScript, Kotlin, Python and TypeScript. The licence is MIT.

When your agent uses it

  • Reviewing pull requests
  • Providing code feedback
  • Identifying issues
  • Ensuring code quality standards

Example prompts

  • “/code-reviewer”

Requirements

  • Python 3
  • Node.js
  • Docker

Workflow steps

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

  1. Pr Analyzer
  2. Code Quality Checker
  3. Review Report Generator
  4. Setup and Configuration
  5. Run Quality Checks
  6. Implement Best Practices

What it can do on your machine

Read from SKILL.md and the folder at commit 3211e35. 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

    Ships 3 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python
    • npm
    • pip
    • docker
    • docker-compose
    • kubectl

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

  • Network

    No URLs in SKILL.md. Its commands use npm, pip, docker and kubectl, 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 Reviewer loads about 1.1k tokens when it runs, and up to ~2.3k if it reads all its reference files. Until then it costs about 81 tokens; SKILL.md has 300 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~81
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.3k

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.

  • NoteMentions a .env fileSKILL.md:126
    cp .env.example .env

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); the scripts in this folder are not scanned.

SKILL.md

The full file from jewbetcha/opentrace at commit 3211e35, republished under its MIT licence (© jewbetcha). 300 words, ~1,099 tokens.

Download SKILL.mdSave it as .claude/skills/code-reviewer/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
name
code-reviewer
description
Comprehensive code review skill for TypeScript, JavaScript, Python, Swift, Kotlin, Go. Includes automated code analysis, best practice checking, security scanning, and review checklist generation. Use when reviewing pull requests, providing code feedback, identifying issues, or ensuring code quality standards.

Code Reviewer

Complete toolkit for code reviewer with modern tools and best practices.

Quick Start

Main Capabilities

This skill provides three core capabilities through automated scripts:

bash
# Script 1: Pr Analyzer
python scripts/pr_analyzer.py [options]

# Script 2: Code Quality Checker
python scripts/code_quality_checker.py [options]

# Script 3: Review Report Generator
python scripts/review_report_generator.py [options]

Core Capabilities

1. Pr Analyzer

Automated tool for pr analyzer tasks.

Features:

  • Automated scaffolding
  • Best practices built-in
  • Configurable templates
  • Quality checks

Usage:

bash
python scripts/pr_analyzer.py <project-path> [options]
2. Code Quality Checker

Comprehensive analysis and optimization tool.

Features:

  • Deep analysis
  • Performance metrics
  • Recommendations
  • Automated fixes

Usage:

bash
python scripts/code_quality_checker.py <target-path> [--verbose]
3. Review Report Generator

Advanced tooling for specialized tasks.

Features:

  • Expert-level automation
  • Custom configurations
  • Integration ready
  • Production-grade output

Usage:

bash
python scripts/review_report_generator.py [arguments] [options]

Reference Documentation

Code Review Checklist

Comprehensive guide available in references/code_review_checklist.md:

  • Detailed patterns and practices
  • Code examples
  • Best practices
  • Anti-patterns to avoid
  • Real-world scenarios
Coding Standards

Complete workflow documentation in references/coding_standards.md:

  • Step-by-step processes
  • Optimization strategies
  • Tool integrations
  • Performance tuning
  • Troubleshooting guide
Common Antipatterns

Technical reference guide in references/common_antipatterns.md:

  • Technology stack details
  • Configuration examples
  • Integration patterns
  • Security considerations
  • Scalability guidelines

Tech Stack

Languages: TypeScript, JavaScript, Python, Go, Swift, Kotlin Frontend: React, Next.js, React Native, Flutter Backend: Node.js, Express, GraphQL, REST APIs Database: PostgreSQL, Prisma, NeonDB, Supabase DevOps: Docker, Kubernetes, Terraform, GitHub Actions, CircleCI Cloud: AWS, GCP, Azure

Development Workflow

1. Setup and Configuration
bash
# Install dependencies
npm install
# or
pip install -r requirements.txt

# Configure environment
cp .env.example .env
2. Run Quality Checks
bash
# Use the analyzer script
python scripts/code_quality_checker.py .

# Review recommendations
# Apply fixes
3. Implement Best Practices

Follow the patterns and practices documented in:

  • references/code_review_checklist.md
  • references/coding_standards.md
  • references/common_antipatterns.md

Best Practices Summary

Code Quality
  • Follow established patterns
  • Write comprehensive tests
  • Document decisions
  • Review regularly
Performance
  • Measure before optimizing
  • Use appropriate caching
  • Optimize critical paths
  • Monitor in production
Security
  • Validate all inputs
  • Use parameterized queries
  • Implement proper authentication
  • Keep dependencies updated
Maintainability
  • Write clear code
  • Use consistent naming
  • Add helpful comments
  • Keep it simple

Common Commands

bash
# Development
npm run dev
npm run build
npm run test
npm run lint

# Analysis
python scripts/code_quality_checker.py .
python scripts/review_report_generator.py --analyze

# Deployment
docker build -t app:latest .
docker-compose up -d
kubectl apply -f k8s/

Troubleshooting

Common Issues

Check the comprehensive troubleshooting section in references/common_antipatterns.md.

Getting Help
  • Review reference documentation
  • Check script output messages
  • Consult tech stack documentation
  • Review error logs

Resources

  • Pattern Reference: references/code_review_checklist.md
  • Workflow Guide: references/coding_standards.md
  • Technical Guide: references/common_antipatterns.md
  • Tool Scripts: scripts/ directory

© jewbetcha, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 6 other files (scripts, references) in .agents/skills/code-reviewer of jewbetcha/opentrace.

  • SKILL.md
  • references/code_review_checklist.md
  • references/coding_standards.md
  • references/common_antipatterns.md
  • scripts/code_quality_checker.py
  • scripts/pr_analyzer.py
  • scripts/review_report_generator.py

Open the folder on GitHubat commit 3211e35

Used in 2 other repositories

We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in jewbetcha/opentrace, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Code Reviewer 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 Reviewer compared with similar skills
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Code ReviewerLeoYeAI/openclaw-master-skills2.2k1 repos~1.2kAutomated safety check: PassMIT
Code Review SkillRain-kl/OpenFlare288—~2.3kAutomated safety check: NotesMIT
Cross-Language Coding Standardszereight/gitlab-mcp2k1 repos~1.4kAutomated safety check: PassMIT

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Categories

Questions about Code Reviewer

What does Code Reviewer do?

Comprehensive code review skill for TypeScript, JavaScript, Python, Swift, Kotlin, Go. Code Reviewer is an agent skill from jewbetcha/opentrace. Comprehensive code review skill for TypeScript, JavaScript, Python, Swift, Kotlin, Go.

When should I use Code Reviewer?

Code Reviewer fits situations like: reviewing pull requests; providing code feedback; identifying issues; ensuring code quality standards.

How do I install Code Reviewer in Claude Code?

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

How do I install Code Reviewer in Codex?

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

Can I use Code Reviewer 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 jewbetcha/opentrace --skill code-reviewer -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-reviewer, .gemini/skills/code-reviewer, .github/skills/code-reviewer and .opencode/skills/code-reviewer in your project.

What does Code Reviewer need to run?

Going by SKILL.md and its folder, Code Reviewer needs Python for the scripts in its folder and the command-line tools its instructions call (python, npm, pip, docker, docker-compose and kubectl). Our summary lists: Python 3; Node.js; Docker.

Does Code Reviewer access the network?

SKILL.md contains no URLs. Its commands use npm, pip and docker, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Code Reviewer safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Code Reviewer use?

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

How many tokens does Code Reviewer use?

About 1.1k tokens (SKILL.md is roughly 4.4k 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 1.2k tokens, read only when the agent opens those files.

What are the alternatives to Code Reviewer?

Skills that share tags, products or a category with Code Reviewer: Code Reviewer (borghei/Claude-Skills, 874 stars), Code Reviewer (alirezarezvani/claude-skills, 28k stars), Code Reviewer (LeoYeAI/openclaw-master-skills, 2.2k stars) and Code Review Skill (Rain-kl/OpenFlare, 288 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Code Reviewer?

jewbetcha (a GitHub user) maintains it in jewbetcha/opentrace, which has 116 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on May 23, 2026.

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