A procedure for reviewing a GitHub pull request with several review modes, including first review, repeat review, self-review, and responding to feedback. It gathers the change set and delegates checks before judging the findings.

Use it to inspect a pull request, review your own changes, repeat a review after updates, or address comments from an earlier review.

It gives code review a repeatable process and helps separate evidence from the final decision about which findings matter.

review-pr — Skill for Claude Code by hoblin

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 hoblin/claude-ruby-marketplace --skill review-pr

Clone the repo

git clone --depth 1 https://github.com/hoblin/claude-ruby-marketplace

Made for: Claude Code.

Or install rpi, the plugin that ships this one along with the rest of its 13 skills, 12 agents.

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/hoblin/claude-ruby-marketplace/review-pr/github.svg)](https://agentmods.dev/skills/hoblin/claude-ruby-marketplace/review-pr)

Your own site

<a href="https://agentmods.dev/skills/hoblin/claude-ruby-marketplace/review-pr"><img src="https://agentmods.dev/badge/skills/hoblin/claude-ruby-marketplace/review-pr/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/hoblin/claude-ruby-marketplace/review-pr"><img src="https://agentmods.dev/badge/skills/hoblin/claude-ruby-marketplace/review-pr.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 3,824 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.

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	$0.00039	$0.03824
Opus 5	$0.00019	$0.01912
Sonnet 5	$0.00008	$0.00765
Haiku 4.5	$0.00004	$0.00382

Measured 2d ago against content hash d2f5d7adafed, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

review-pr 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 2d 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/rpi/skills/review-pr/SKILL.md · 306 lines

How it starts

The opening of the file, as written. The whole thing — 306 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Input Format

/rpi:review-pr [mode] [PR] [additional instructions]

mode (optional): review (default), re-review, self-review, or address-feedback
PR: PR number or link (required)
additional instructions (optional): file exclusions, focus areas, or any custom guidance

Examples:

/rpi:review-pr #1234
/rpi:review-pr re-review #1234
/rpi:review-pr self-review #1234
/rpi:review-pr address-feedback #1234
/rpi:review-pr #1234 exclude config/locales and .yml files
/rpi:review-pr re-review #1234 skip rails guru because it is not a rails project

Process

Your role is orchestrator and judge, not doer. You collect artifacts, delegate analysis to subagents, and apply judgment to their output. The subagents read the code and comments — you decide what to do about their findings.

Steps are sequential — later steps depend on earlier results. Complete each step and wait for its results before starting the next. Skipping ahead without subagent results means the judgment layer in "Step 6: Judge Findings" has nothing to work with. Only parallelize where explicitly marked (e.g., "spawn in parallel").

Step 1: Gather PR Metadata

gh pr view <PR_NUMBER> --json number,title,body,url,headRefName,baseRefName

If re-review or address-feedback mode is activated, also save all existing review feedback to /tmp/:

Do not read these files — pass them to subagents by path only. The subagents will read and analyze the content.

# Review verdicts and bodies (APPROVED, CHANGES_REQUESTED, COMMENTED)
gh api repos/<OWNER>/<REPO>/pulls/<PR_NUMBER>/reviews \
  --jq '[.[] | {id, state, body, html_url, commit_id, submitted_at, author_association, user: .user.login}]' \
  | tee /tmp/pr_<NUMBER>_reviews.json | jq length

# Inline review comments on specific diff lines
gh api repos/<OWNER>/<REPO>/pulls/<PR_NUMBER>/comments \
  --jq '[.[] | {id, pull_request_review_id, body, path, line, start_line, side, diff_hunk, commit_id, created_at, author_association, in_reply_to_id, user: .user.login}]' \
  | tee /tmp/pr_<NUMBER>_inline_comments.json | jq length

# Conversation-level comments
gh api repos/<OWNER>/<REPO>/issues/<PR_NUMBER>/comments \
  --jq '[.[] | {id, body, html_url, created_at, updated_at, author_association, user: .user.login}]' \
  | tee /tmp/pr_<NUMBER>_conversation.json | jq length

Read the full file on GitHub · 306 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.

2d ago First seen · 306 lines · 39 tokens per session scan A d2f5d7adafed

Subscribe to this mod's changes

review-pr is a skill published in the GitHub repository hoblin/claude-ruby-marketplace (37 stars, last pushed 2d ago), licensed MIT. It adds 39 tokens to every session and 3,824 once invoked, about $0.0002 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 2026-09-07.

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