Code Review

Organization

ovh

code-review

Review code changes in the current git branch, identify bugs, style issues, and suggest improvements

Overview

Publisher	ovh
Repository	`shai`
Skill name	`code-review`
Stars	627
Forks	60
Bundled files	Instructions only
License	Apache-2.0
Links	Skill source Repository

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 ovh 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.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/ovh/shai/tree/main/shai-core/examples/skills/code-review
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.

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/ovh/shai.git /tmp/shai
mkdir -p .claude/skills
cp -r /tmp/shai/shai-core/examples/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

Purpose

Review uncommitted or branch-diff changes for bugs, security issues, style violations, and potential improvements.

Procedure

1. Gather Changes

Run git diff to see unstaged changes, or git diff main...HEAD to see all changes on the current branch.
If the diff is large, review it file by file using git diff -- <file>.

2. Analyze Each Changed File

For each file with changes:

Read the full file context using the read tool to understand surrounding code.
Check for:
- Correctness: Logic errors, off-by-one errors, null/None handling.
- Security: Injection vulnerabilities, unsafe deserialization, hardcoded secrets, improper input validation.
- Error Handling: Missing error cases, panics, unwrap() in production paths.
- Style: Consistency with existing codebase conventions (naming, formatting, patterns).
- Performance: Unnecessary allocations, O(n²) loops, redundant clones.
- Dead Code: Unused imports, unused variables, unreachable branches.

3. Check Tests

Verify that new code paths are covered by tests.
Ensure existing tests still pass with cargo test.
Flag any untested public APIs.

4. Summarize Findings

Provide a structured summary:


## Review Summary

### Critical Issues
- [file:line] Description

### Suggestions
- [file:line] Description

### Positive Notes
- What was done well

Guidelines

Be constructive and specific — reference file names and line numbers.
Distinguish between blocking issues and nice-to-haves.
Respect existing conventions in the codebase.
Do not modify files unless explicitly asked; suggest changes instead.

Frequently asked questions

What does the Code Review AI skill do?

Review code changes in the current git branch, identify bugs, style issues, and suggest improvements

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/ovh/shai/tree/main/shai-core/examples/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 ovh under the Apache-2.0 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.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Code Review

Purpose

Procedure

1. Gather Changes

2. Analyze Each Changed File

3. Check Tests

4. Summarize Findings

Guidelines

Frequently asked questions

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