Code Review logo

Code Review

Community
Omar-Obando
code-review

Professional code review skill following OWASP, SOLID, and Clean Code principles. Use when reviewing code changes, performing pull request reviews, or auditing existing code for quality issues.

Overview

PublisherOmar-Obando
Repositoryqwen-orchestrator
Skill namecode-review
Stars
53
Forks
13
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Omar-Obando on GitHub. Read the source before you install it.

Installation

Install the Code Review AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Omar-Obando/qwen-orchestrator/tree/main/skills/code-review
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Omar-Obando/qwen-orchestrator.git /tmp/qwen-orchestrator
mkdir -p .claude/skills
cp -r /tmp/qwen-orchestrator/skills/code-review .claude/skills/code-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Code Review in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Code Review on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Code Review is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Code Review Skill — Professional Quality Audit

This skill provides a systematic, evidence-based code review methodology that catches real issues, not style nits.

Review Dimensions

1. Correctness (Priority: CRITICAL)

  • Does the code do what it claims?
  • Are edge cases handled?
  • Are off-by-one errors possible?
  • Are null/undefined checks present where needed?
  • Are error conditions properly handled?

2. Security (Priority: CRITICAL)

  • Injection: SQL, XSS, command injection, path traversal
  • Auth: Proper authentication and authorization checks
  • Data Exposure: No secrets in logs, error messages, or responses
  • Input Validation: All external inputs validated and sanitized
  • Dependencies: Known vulnerabilities in third-party packages

3. Performance (Priority: HIGH)

  • Unnecessary allocations in hot paths
  • O(n²) or worse algorithms where O(n) or O(log n) is possible
  • Missing pagination for large datasets
  • Synchronous operations that should be async
  • Memory leaks (event listeners, subscriptions not cleaned up)

4. Maintainability (Priority: HIGH)

  • Functions under 40 lines
  • Cyclomatic complexity ≤ 10
  • Meaningful names that reveal intent
  • No magic numbers or strings
  • Proper error types with context

5. Testing (Priority: HIGH)

  • Tests exist for new behavior
  • Tests cover happy path AND failure modes
  • Tests are isolated and repeatable
  • Test names describe expected behavior
  • No test interdependencies

6. Architecture (Priority: MEDIUM)

  • Proper separation of concerns
  • No circular dependencies
  • Dependency direction is correct (inward in hexagonal)
  • No layer violations
  • Single Responsibility Principle followed

Severity Classification

SeverityCriteriaAction
BLOCKERSecurity vulnerability, data loss riskMust fix before merge
CRITICALBug, incorrect behaviorMust fix before merge
MAJORPerformance issue, poor error handlingShould fix before merge
MINORStyle, naming, minor improvementCan fix later
INFOSuggestion, alternative approachOptional

Review Workflow

  1. Read the PR description — understand intent
  2. Read the changed files — understand implementation
  3. Trace data flow — from input to output
  4. Check tests — do they verify the behavior?
  5. Check dependencies — any side effects?
  6. Classify findings — by severity with evidence
  7. Write review — constructive, specific, actionable

Output Format

markdown
## Code Review Report

### Summary

- Files reviewed: [N]
- Findings: [BLOCKER: N] [CRITICAL: N] [MAJOR: N] [MINOR: N] [INFO: N]
- Verdict: APPROVE | REQUEST CHANGES | BLOCK

### Findings

#### [SEVERITY] [File:Line] — [Title]

**Issue**: [Description of the problem]
**Evidence**: [Code snippet showing the issue]
**Recommendation**: [Specific fix suggestion]
**Confidence**: HIGH | MEDIUM | LOW

## When NOT to Use

**Do NOT use this skill when:**

- Designing database schemas (use database-design skill for normalization and indexing)
- Writing API endpoint implementations (use api-design skill for REST/GraphQL endpoint patterns)
- Performing security audits (use security-auditor skill for comprehensive vulnerability analysis)
- **Analyzing deployment configurations** (use deployment skill for CI/CD pipelines and infrastructure)
- **Writing SQL queries** (use sql-best-practices skill for query optimization and N+1 prevention)
- **Reviewing git workflows** (use git-workflow skill for branching strategies and commit conventions)
- **Designing multi-page website layouts** (use design-system skill for professional UI/UX and spacing)
- **Implementing new features** (use domain-driven skill for complete business modules)
- **Refactoring existing code** (use refactoring skill for safe behavior-preserving transformations)

Frequently asked questions

What does the Code Review AI skill do?

Professional code review skill following OWASP, SOLID, and Clean Code principles. Use when reviewing code changes, performing pull request reviews, or auditing existing code for quality issues.

Why use Code Review on TypingMind?

Because you install it once and use it with any model. Code Review is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Code Review in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Omar-Obando/qwen-orchestrator/tree/main/skills/code-review. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Code Review?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Code Review?

As many as you like. As long as a model supports skills, you can use Code Review with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Code Review AI skill free?

Yes. It is published on GitHub by Omar-Obando under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇