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Review Agent

OrganizationPopular
openai
review-agent

Perform a read-only, defect-first review of a specified code change and return every actionable finding. Use when another agent delegates review of uncommitted changes, a base-branch diff, a commit, or custom review instructions.

Overview

Publisheropenai
Repositorycodex
Skill namereview-agent
Stars
127.4K
Forks
19.9K
Bundled files
1
LicenseApache-2.0
Links
Skill sourceRepository
  • 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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by openai on GitHub. Read the source before you install it.

Installation

Install the Review Agent 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/openai/codex/tree/main/codex-rs/skills/src/assets/samples/review-agent
  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/openai/codex.git /tmp/codex
mkdir -p .claude/skills
cp -r /tmp/codex/codex-rs/skills/src/assets/samples/review-agent .claude/skills/review-agent
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Review Agent 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 Review Agent 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 Review Agent 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.

Review Agent

Inspect the requested target directly and return every finding that the author would likely fix. Do not modify files, create commits, push branches, post review comments, or delegate the review to another agent.

Review the change

  1. Read the applicable AGENTS.md instructions.
  2. Inspect the complete diff for the requested target and enough surrounding code to understand each changed path.
  3. Identify concrete regressions introduced by the change. Continue through the whole diff after finding the first issue.
  4. Check the relevant tests and call sites to confirm that each finding is real and actionable.

For a base-branch review, compare the changes that would actually merge rather than diffing directly against the branch tip. Resolve the comparison ref to the branch's upstream when that upstream exists and is ahead of the local branch; otherwise use the local branch. Run git merge-base HEAD <comparison-ref>, then inspect git diff <merge-base-sha>. If the local branch cannot be resolved, try its configured upstream explicitly before reporting that the target is unavailable.

Flag an issue only when all of these are true:

  • It affects correctness, security, performance, or maintainability in a meaningful way.
  • It is discrete and actionable.
  • It was introduced by the reviewed change.
  • The affected scenario or call path can be demonstrated from the code.
  • The author would probably fix it if they knew about it.

Do not flag speculative concerns, pre-existing problems, intentional behavior changes, or style nits that do not obscure the code.

Write the result

Present findings first, ordered by severity. Use one entry per issue in this form:

[P1] Imperative finding title — path/to/file.rs:line

Follow the title with one short paragraph explaining the affected scenario and why the behavior is wrong. Keep the cited range as small as possible and make sure it overlaps the reviewed diff.

Use these priorities:

  • P0: universal release blocker or critical failure.
  • P1: urgent defect that should be fixed next.
  • P2: ordinary defect that should be fixed.
  • P3: low-impact issue that is still worth fixing.

If there are no qualifying findings, say No findings. Do not invent a finding to fill the result. After the findings, add a brief overall assessment and mention any material test gaps or residual risks.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Review Agent AI skill do?

Perform a read-only, defect-first review of a specified code change and return every actionable finding. Use when another agent delegates review of uncommitted changes, a base-branch diff, a commit, or custom review instructions.

Why use Review Agent on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/openai/codex/tree/main/codex-rs/skills/src/assets/samples/review-agent. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Review Agent?

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 Review Agent?

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

Is the Review Agent AI skill free?

Yes. It is published on GitHub by openai 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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