code-review

code-review is a skill for Claude Code, Codex from open-octo/octo-agent. It costs 67 tokens per session (657 once invoked), scanned A, original, MIT.

A code-review workflow that sends local changes to a separate reviewer for checks on correctness, style, performance, security, tests, and design.

In plain words
What is it for?
Use it to review a code diff, pull-request changes, or several independent changes before merging.
Why use it?
It provides an independent review that is less influenced by the reasoning used to write the changes.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

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.

agentmods
npx agentmods add skills/open-octo/octo-agent/code-review
Any agent
npx skills add open-octo/octo-agent --skill code-review
Clone the repo
git clone --depth 1 https://github.com/open-octo/octo-agent

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/open-octo/octo-agent/code-review.svg)](https://agentmods.dev/skills/open-octo/octo-agent/code-review)
Your own site
<a href="https://agentmods.dev/skills/open-octo/octo-agent/code-review"><img src="https://agentmods.dev/badge/skills/open-octo/octo-agent/code-review.svg" alt="Measured on agentmods" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 657 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00067 $0.00657
Opus 5 $0.00034 $0.00329
Sonnet 5 $0.00013 $0.00131
Haiku 4.5 $0.00007 $0.00066

Measured 6d ago against content hash 63410f747e26, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, 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 6d 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.

internal/skills/defaults/code-review/SKILL.md · 62 lines

How it starts

The opening of the file, as written. The whole thing — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Review local code changes by dispatching an isolated sub-agent — a fresh agent with no knowledge of the current session's implementation decisions. This eliminates the bias of reviewing your own work.

Process

1. Gather context for the sub-agent

Collect everything the reviewer needs:

# What changed
git log --oneline main..HEAD
git diff main...HEAD
git diff
git diff --cached

Also identify:

  • Tech design doc path (if one exists in conversation context or commit messages)
  • Which services/modules are touched
  • Test files added or modified

2. Dispatch the sub-agent

Call the sub_agent tool with subagent_type: "code-review" — a read-only reviewer that starts with zero context. Pass it the diff range, file list, and tech design reference in the prompt — but NOT your implementation reasoning or conversation history.

If you need to review multiple independent changes (e.g., several PRs), dispatch each sub-agent with run_in_background: true so they run in parallel. Wait for the completion notifications and use the results from those notifications. Do not poll sub_agent_status while waiting; use sub_agent_status only if you suspect an agent is stuck or need to list running agents. For a single short review, a synchronous sub_agent call is fine.

The sub-agent prompt should follow the template in code-reviewer.md.

Fill in:

  • {DESCRIPTION} — brief summary of what these changes do
  • {TECH_DESIGN_PATH} — path to tech design doc (or "none")
  • {BASE_SHA} / {HEAD_SHA} — git range
  • {DIFF_STAT} — output of git diff --stat

If the sub_agent tool is not available in this session, perform the review yourself following the same template — and say explicitly in the report that the review was not isolated.

3. Act on the review

When the sub-agent returns its findings:

Receiving feedback — rules:

  • Verify before implementing. Don't blindly agree.
  • If any item is unclear, clarify ALL unclear items before fixing any.
  • Implementation order: Critical → Important → Minor, test each fix individually.
  • Push back with technical reasoning if the reviewer is wrong (missing context, doesn't apply to this codebase, YAGNI).
  • No performative agreement ("Great point!", "You're absolutely right!"). Just fix and show the result.

Read the full file on GitHub · 62 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 6d ago First seen · 62 lines · 67 tokens per session scan A 63410f747e26

Subscribe to this mod's changes

code-review is a skill published in the GitHub repository open-octo/octo-agent (96 stars, last pushed yesterday), licensed MIT. It adds 67 tokens to every session and 657 once invoked, about $0.0003 per session on Opus 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.

Related

Other skills, from other repositories

eliza-cloud

Use when the task involves Eliza Cloud or elizaOS Cloud as a managed backend, app platform, deployment target, billing layer, or monetization surface. The catch-all skill for any user request about THEIR existing apps / containers / earnings / credits / api-keys / analytics / billing / payment requests / payouts …

elizaOS/eliza · 191 tokens

build-monetized-app

Use when the task is building a new app on Eliza Cloud that earns money — chat apps, agent apps, MCP-backed tools, anything that calls the cloud's chat/messages/inference endpoints on behalf of users. Covers app registration, container deploy, markup configuration, affiliate header, app charge requests, x402 payment…

elizaOS/eliza · 126 tokens

contribute-to-eliza

Finish and prove a scoped elizaOS GitHub issue, or independently review and repair an open elizaOS pull request. Use when contributing compute to elizaOS by selecting unclaimed work, implementing or reviewing changes, adding real tests and evidence, validating artifacts, or preparing a contribution for maintainer…

elizaOS/eliza · 68 tokens

discord

Use when you need to control Discord from Otto via the discord tool: send messages, react, post or upload stickers, upload emojis, run polls, manage threads/pins/search, create/edit/delete channels and categories, fetch permissions or member/role/channel info, set bot presence/activity, or handle moderation actions in…

elizaOS/eliza · 70 tokens

eliza-cloud-buy-domain

Use whenever a user wants to register or buy a custom domain for an Eliza Cloud app — including in the same request as building the app ("build me X and put it on Y.com"). Uses Cloudflare as registrar after explicit user confirmation, paid from the user's existing cloud credit balance. Pairs with build-monetized-app…

elizaOS/eliza · 125 tokens

notion

Notion API for creating and managing pages, databases, and blocks. Use when the user wants to create a Notion page, query a Notion database, update Notion properties, search Notion, add content to Notion, manage Notion blocks, or interact with Notion data sources and workspaces via the API.

elizaOS/eliza · 69 tokens