What is coderabbit-review?

A handler for CodeRabbit pull-request reviews. CodeRabbit is a service that comments on code changes, and a pull request is a proposed change submitted for review.

Use it to fetch CodeRabbit comments from a GitHub pull request, apply valid fixes, or reply to comments.

It helps assess review comments and decide whether each one needs a code change or a written response.

coderabbit-review — Skill for Claude Code by opendatahub-io

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 opendatahub-io/ai-helpers --skill coderabbit-review

Clone the repo

git clone --depth 1 https://github.com/opendatahub-io/ai-helpers

Made for: Claude Code.

Or install odh-code-quality, the plugin that ships this one along with the rest of its 2 skills.

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/opendatahub-io/ai-helpers/coderabbit-review/github.svg)](https://agentmods.dev/skills/opendatahub-io/ai-helpers/coderabbit-review)

Your own site

<a href="https://agentmods.dev/skills/opendatahub-io/ai-helpers/coderabbit-review"><img src="https://agentmods.dev/badge/skills/opendatahub-io/ai-helpers/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/opendatahub-io/ai-helpers/coderabbit-review"><img src="https://agentmods.dev/badge/skills/opendatahub-io/ai-helpers/coderabbit-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,071 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

high Prompt Injection · line 39
Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.

Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00018	$0.02071
Opus 5	$0.00009	$0.01035
Sonnet 5	$0.00004	$0.00414
Haiku 4.5	$0.00002	$0.00207

Measured 10d ago against content hash 9b9a82e95681, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

coderabbit-review scanned grade A with 1 finding 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 10d 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.

Makes network callslowCapability

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

allowed-tools: Bash(gh pr view:*) Bash(gh repo view:*) Bash(git remote:*) Bash(git branch:*) Bash(gh pr list:*) Bash(gh api:*) Bash(curl:*) Bash(sha256sum:*) Read Glob Grep Edit AskUserQuestion

plugins/odh-code-quality/skills/coderabbit-review/SKILL.md · 179 lines

How it starts

The opening of the file, as written. The whole thing — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CodeRabbit PR Review Handler

Fetch CodeRabbit comments from a GitHub PR, evaluate each one, and take action: apply a code fix or post a reply.

PR: $ARGUMENTS

Step 1: Resolve the PR and Repository

Determine the owner, repo, and pullNumber:

If $ARGUMENTS is a PR number, use it directly.
Otherwise, detect the PR from the current branch using gh pr view or gh pr list.
Use gh repo view --json owner,name to get the upstream coordinates. If that fails (e.g., no default remote set), fall back to parsing git remote -v to identify the upstream GitHub repository.
The repo may be a fork with multiple remotes. Do not assume names like upstream/origin. Prefer repo coordinates from PR metadata (gh pr view --json), then gh repo view, then git remote -v. If multiple candidates remain, ask the user.
If you cannot determine the PR automatically, ask the user.

Step 2: Fetch CodeRabbit Comments

Inline review comments (CodeRabbit's line-level suggestions):

gh api --paginate repos/<owner>/<repo>/pulls/<pullNumber>/comments

PR-level comments (CodeRabbit's summary/walkthrough):

gh api --paginate repos/<owner>/<repo>/issues/<pullNumber>/comments

Filter both lists to only comments where user.login equals coderabbitai[bot].

For PR-level comments, skip any comment whose body contains  or <!-- This is an auto-generated comment: review in progress — these are CodeRabbit's walkthrough/summary posts, not actionable review feedback.

For inline comments, skip any comment that belongs to a resolved review thread (check the pull_request_review_id against resolved threads, or look for the "resolved": true marker if available).

If no actionable CodeRabbit comments are found, report that and exit.

Step 3: Evaluate Each Comment

For each CodeRabbit comment, analyze it carefully by reading the relevant source file(s).

For inline comments: use the path field to read the file with the Read tool. Use line or original_line to find the exact code location. The diff_hunk field shows the surrounding context.

Read the full file on GitHub · 179 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.

10d ago First seen · 179 lines · 18 tokens per session scan A 9b9a82e95681

Subscribe to this mod's changes

coderabbit-review is a skill published in the GitHub repository opendatahub-io/ai-helpers (37 stars, last pushed 3d ago), licensed Apache-2.0. It adds 18 tokens to every session and 2,071 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Claude Code Code review agentic-ai ai cursor gemini-gem

code-review-excellence

Master effective code review practices to provide constructive feedback, catch bugs early, and foster knowledge sharing while maintaining team morale. Use when reviewing pull requests, establishing review standards, or mentoring developers.

wshobson/agents · 42 tokens

multi-reviewer-patterns

Coordinate parallel code reviews across multiple quality dimensions with finding deduplication, severity calibration, and consolidated reporting. Use this skill when organizing multi-reviewer code reviews, calibrating finding severity, or consolidating review results.

wshobson/agents · 49 tokens

coderabbit-review