code-review

code-review is a skill for Claude Code, Codex from Yeachan-Heo/oh-my-codex. It costs 8 tokens per session (1,282 once invoked), scanned A, original, MIT.

A workflow for examining code for problems and weaknesses.

In plain words
What is it for?
Use it when you need a broad review of a code change or codebase.
Why use it?
It helps identify issues that may be missed during ordinary development.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions AGENTS.md; $skill-name invocation.

Good fit Use it when you need a broad review of a code change or codebase.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yeachan-heo/oh-my-codex/code-review
About the project

oh-my-codex is a workflow layer for OpenAI Codex CLI that adds prompts, agent teams, skills, hooks, HUDs, and other runtime assistance while leaving Codex as the execution engine. It is for people who use Codex CLI and want structured workflows and additional help as tasks become larger. The catalogue entries are its skills, hooks, and MCP integrations for those Codex workflows.

Yeachan-Heo/oh-my-codex · 33,629 stars · on GitHub · oh-my-codex.dev

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Yeachan-Heo/oh-my-codex --skill code-review
Clone the repo
git clone --depth 1 https://github.com/Yeachan-Heo/oh-my-codex

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for code-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/yeachan-heo/oh-my-codex/code-review/github.svg)](https://agentmods.dev/skills/yeachan-heo/oh-my-codex/code-review)
Your own site
<a href="https://agentmods.dev/skills/yeachan-heo/oh-my-codex/code-review"><img src="https://agentmods.dev/badge/skills/yeachan-heo/oh-my-codex/code-review/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for code-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/yeachan-heo/oh-my-codex/code-review"><img src="https://agentmods.dev/badge/skills/yeachan-heo/oh-my-codex/code-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 8 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,282 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. ✓ AI security review Fable 5.1 · 6 Sept 2026 📄 Read the review Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00008 $0.01282
Opus 5.5 $0.00003 $0.00513
Sonnet 5.5 $0.00002 $0.00256
Haiku 4.5 $0.00001 $0.00128

Measured 1mo ago against content hash 0ee041726093, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

code-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/oh-my-codex/skills/code-review/SKILL.md · 119 lines

How it starts

The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Code Review Task Card

Use this explicit opt-in for a merge-readiness review. Shared operating invariants live in templates/AGENTS.md; this card only defines review-specific behavior.

When to use

  • The user asks for a code review or quality/security assessment.
  • A change is ready for review before merge, or a major feature needs an independent review.
  • Do not activate this card for implementation, broad planning, or automatic cleanup.

Inputs

  • Scope: the requested files, commit, PR, or whole diff.
  • Requirements/specification, acceptance criteria, and relevant test/CI evidence.
  • Existing review artifacts and known risks, if any.
  • If the user says continue, advance the current verified review step rather than restarting discovery.

Start by recording the scope:

git status --short
git diff --stat
git diff -- <scope>

Execution

  1. Identify changed files and review boundaries; do not silently widen the scope.
  2. Launch the code-reviewer and architect agents in parallel. Both lanes run in parallel on a clean context with explicit scope and artifacts. If either lane cannot be launched or does not return evidence, report independent review unavailable; do not substitute the current/authoring lane, and do not approve or mark the review merge-ready.
  3. Respect the user's current model and reasoning/effort selection. Do not pass model or reasoning_effort overrides in review-lane calls.
task(
  agent_type="code-reviewer",
  prompt="CODE REVIEW TASK

Review the supplied scope for spec compliance, security, quality, performance, and maintainability.
Return files reviewed, severity-rated findings with file:line evidence and concrete fixes,
and a recommendation: APPROVE / REQUEST CHANGES / COMMENT. Do not review architecture.
Scope: [scope and artifacts]"
)

task(
  agent_type="architect",
  prompt="ARCHITECTURE / DEVIL'S-ADVOCATE REVIEW TASK

Review the same scope for boundaries, interfaces, hidden coupling, long-term tradeoffs,
and the strongest counterargument against approval. Return file:line evidence,
recommendations, and Architectural Status: CLEAR / WATCH / BLOCK.
Scope: [scope and artifacts]"
)

Read the full file on GitHub · 119 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago Changed 0ee041726093
  2. 1mo ago First seen · 119 lines · 8 tokens per session scan A be16f9bb2bc5

Subscribe to this mod's changes

code-review is a skill published in the GitHub repository Yeachan-Heo/oh-my-codex (33,629 stars, last pushed today), licensed MIT. It adds 8 tokens to every session and 1,282 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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