Codex Review

Community

ryoppippi

codex-review

Run a code review using Codex or a native subagent. Use when the user wants a code review of uncommitted changes, a specific commit, or changes against a base branch.

Overview

Publisher	ryoppippi
Repository	`dotfiles`
Skill name	`codex-review`
Stars	263
Forks	5
Bundled files	Instructions only
License	MIT
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 ryoppippi on GitHub. Read the source before you install it.

Installation

Install the Codex 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.
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/ryoppippi/dotfiles.git /tmp/dotfiles
mkdir -p .claude/skills
cp -r /tmp/dotfiles/agents/skills/codex-review .claude/skills/codex-review

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Codex 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 Codex 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 Codex 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.

Use the review path that matches the current session:

Outside Codex: use codex exec review.
Inside Codex (Desktop or CLI): delegate the review to a native subagent; do not start a nested Codex process.

Scope

Uncommitted changes: --uncommitted or the equivalent git diff HEAD.
A branch: --base <branch> or git diff <branch>...HEAD.
A commit: --commit <sha> or git show <sha>.

Ask when the requested scope is unclear. Return critical findings separately from suggestions, with file and line references.

Codex CLI

bash
codex exec review --uncommitted
codex exec review --base main --model <model-slug>
codex exec review --commit <sha> --model <model-slug>
codex exec review "Focus on error handling and edge cases"

The positional prompt cannot be combined with a scope flag. Run codex exec review --help when flags are unclear.

Available Models

!jq -r '.models[] | "- \(.slug): \(.description)"' "$CODEX_HOME/models_cache.json"

Choose a Spark model for speed or the latest non-Spark model for deeper analysis.

Frequently asked questions

What does the Codex Review AI skill do?

Run a code review using Codex or a native subagent. Use when the user wants a code review of uncommitted changes, a specific commit, or changes against a base branch.

Why use Codex Review on TypingMind?

Because you install it once and use it with any model. Codex 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 Codex Review in TypingMind?

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

Which AI models can use Codex 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 Codex Review?

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

Is the Codex Review AI skill free?

Yes. It is published on GitHub by ryoppippi 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.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Scope

Codex CLI

Available Models

Frequently asked questions

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