A code-review tool that runs CodeRabbit AI on code changes and summarizes the feedback. Code review means checking changes for bugs, quality problems, and security issues.

Use it to review branches or pull requests, investigate reported issues, and check whether fixes address the review findings.

It helps identify problems in a change before it is merged and supports follow-up review after fixes.

code-review — Skill for Claude Code and Codex by fanfan-de

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 fanfan-de/anybox --skill coderabbit-review

Clone the repo

git clone --depth 1 https://github.com/fanfan-de/anybox

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/fanfan-de/anybox/coderabbit-review/github.svg)](https://agentmods.dev/skills/fanfan-de/anybox/coderabbit-review)

Your own site

<a href="https://agentmods.dev/skills/fanfan-de/anybox/coderabbit-review"><img src="https://agentmods.dev/badge/skills/fanfan-de/anybox/coderabbit-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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/fanfan-de/anybox/coderabbit-review"><img src="https://agentmods.dev/badge/skills/fanfan-de/anybox/coderabbit-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 767 The whole file, excluding the scripts and references it only reads on demand.

Security scan B 2 findings. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00035	$0.00767
Opus 5	$0.00017	$0.00383
Sonnet 5	$0.00007	$0.00153
Haiku 4.5	$0.00003	$0.00077

Measured 8d ago against content hash dd6ec53a9e1b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade B, and why

code-review scanned grade B with 2 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 8d 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.

Downloads and executes remote codemediumSupply chain

curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.

curl -fsSL https://cli.coderabbit.ai/install.sh | sh

Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -fsSL https://cli.coderabbit.ai/install.sh | sh

plugins/Anybox-Plugins/coderabbit/skills/coderabbit-review/SKILL.md · 85 lines

How it starts

The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CodeRabbit Review

Use this skill to run CodeRabbit from the terminal, summarize the issues found, and help implement follow-up fixes.

Stay silent while an active review is running. Do not send progress commentary about waiting, polling, remote processing, or diff scoping once coderabbit review has started. Only message the user if an authentication step or other prerequisite is needed, when the review completes with results, or when the review has failed or timed out after the full wait window.

Prerequisites

Confirm the working directory is inside a git repository.
Check the CLI:

coderabbit --version

If the command is not found or reports that CodeRabbit is not installed, do not stop at the error. Install it:

curl -fsSL https://cli.coderabbit.ai/install.sh | sh

Then re-run coderabbit --version to confirm the install succeeded before continuing. After a fresh install, proceed to the authentication step — the user will need to log in.

Verify authentication in agent mode:

coderabbit auth status --agent

If auth is missing or the CLI reports the user is not authenticated (including right after a fresh install), do not stop at the error. Initiate the login flow:

coderabbit auth login --agent

Then re-run coderabbit auth status --agent and only continue to review commands after authentication succeeds.

Review Commands

Default review:

coderabbit review --agent

Common narrower scopes:

coderabbit review --agent -t committed
coderabbit review --agent -t uncommitted
coderabbit review --agent --base main
coderabbit review --agent --base-commit <sha>

If any of AGENTS.md, .coderabbit.yaml, or CLAUDE.md exist in the repo root, pass them with -c to improve review quality.

Output Handling

Parse each NDJSON line independently.
Collect finding events and group them by severity.
Ignore status events in the user-facing summary.
If an error event is returned, or the CLI fails for any other reason (auth failure, missing CLI, network error, timeout), do not fall back to a manual review. Report the exact failure and tell the user how to resolve it (e.g. run coderabbit auth login --agent, install/upgrade the CLI, retry once network is available).
Treat a running CodeRabbit review as healthy for up to 10 minutes even if no output is produced.
Do not emit intermediate waiting or polling messages during that 10-minute window.
Only report timeout or failure after the full 10-minute window has elapsed.

Read the full file on GitHub · 85 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.

8d ago First seen · 85 lines · 35 tokens per session scan B dd6ec53a9e1b

Subscribe to this mod's changes

code-review is a skill published in the GitHub repository fanfan-de/anybox (57 stars, last pushed 29d ago), licensed MIT. It adds 35 tokens to every session and 767 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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