agentmods.dev

review-pr

review-pr is a skill for Claude Code, Codex from FradSer/dotclaude. It costs 105 tokens per session (2,924 once invoked), scanned A, original, MIT.

A workflow for reviewing a GitHub pull request, which is a proposed set of code changes. It performs an initial review, watches automated checks and reviewer comments, and applies verified fixes until the pull request is settled.

In plain words
What is it for?
Use it to review a pull request, monitor its continuous-integration checks, evaluate reviewer feedback, and push approved corrections.
Why use it?
It reduces the need to manually track changing checks and comments while making sure proposed fixes are independently assessed.

Skill for Claude CodeCodex

Installs and runs on its own, but its text points at files inside its plugin — anything it tells you to read at a ${CLAUDE_PLUGIN_ROOT} path is only there once the plugin is installed. Installing the plugin gets both.

Part of the github plugin — 4 skills shipped together

not rated 588 +1 24d ago A scan 105 tokens original MIT
View the source file FradSer/dotclaude
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/fradser/dotclaude/review-pr
Any agent
npx skills add FradSer/dotclaude --skill review-pr
Clone the repo
git clone --depth 1 https://github.com/FradSer/dotclaude

Made for: Claude Code, Codex.

Or install github, the plugin that ships this one along with the rest of its 4 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.

agentmods badge for review-pr

README.md
[![agentmods](https://agentmods.dev/badge/skills/fradser/dotclaude/review-pr.svg)](https://agentmods.dev/skills/fradser/dotclaude/review-pr)
Your own site
<a href="https://agentmods.dev/skills/fradser/dotclaude/review-pr"><img src="https://agentmods.dev/badge/skills/fradser/dotclaude/review-pr.svg" alt="Measured on agentmods" height="20"></a>
Per session 105 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,924 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 $0.00105 $0.02924
Opus 5 $0.00053 $0.01462
Sonnet 5 $0.00021 $0.00585
Haiku 4.5 $0.00011 $0.00292

Measured 5d ago against content hash e18907eab6d7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 5d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/arm-closeout.sh, scripts/clear-closeout.sh, scripts/review-loop.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

github/skills/review-pr/SKILL.md · 82 lines

How it starts

The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Review a Pull Request

Run the baseline review of the PR diff, then keep a persistent watch over CI and new reviewer comments until the PR settles.

Context

  • PR argument: $ARGUMENTS
  • PR metadata: !gh pr view "$ARGUMENTS" --json number,title,headRepository,headRepositoryOwner,additions,deletions,headRefName 2>/dev/null || printf 'set %s to a PR number or URL\n' "$ARGUMENTS"
  • Remote: !git remote -v 2>/dev/null | head -2
  • Auth: !gh auth status 2>&1 | head -3

Phase 1: Baseline Review and Sizing

Goal: Run the initial review, resolve the repo, and pick a poll interval sized to the PR.

Actions:

  1. Parse the PR number or URL from $ARGUMENTS. If absent, list open PRs with gh pr list and ask the user which to review. Normalize PR to the bare number before any gh api REST call: gh pr * commands accept a URL, but gh api repos/$REPO/issues/$PR/... interpolates $PR into the URL path and breaks on a full URL — run PR=$(gh pr view "$ARGUMENTS" --json number -q .number) (the Context block already fetches --json number) and use $PR as the number everywhere downstream. Parse --auto-merge from $ARGUMENTS and strip it before resolving the PR number — it is a closeout opt-in (see Phase 5), not part of the PR identifier; treat its absence as the default (explicit AskUserQuestion merge).
  2. Run the baseline review — spawn an independent review agent via Task with clean context (it did not author the code) to review the PR diff. Pull the diff with gh pr diff <PR>; pass the agent the PR title/body and the diff, and ask for findings as path:line: issue lines (full prompt in references/review-loop.md, Baseline review agent). Treat its findings as the first [comment] batch — feed them straight into the Phase 3 triage flow before launching the Monitor. Do not act on them inline; the main context is biased (it likely authored the PR) and the same skeptical gatekeeping must apply to the baseline as to live comments.
  3. Resolve REPO=<owner>/<repo> from the PR metadata above (fallback: git remote get-url origin parsed into owner/repo).
  4. Read PR size from additions+deletions and pick INTERVAL (seconds) from the size table in references/review-loop.md: 180 / 300 / 480 for small / medium / large; floor 60s, cap 7200s (~2h).

Read the full file on GitHub · 82 lines

Files

What ships with it

8 files 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. 5d ago First seen · 82 lines · 105 tokens per session scan A e18907eab6d7

Subscribe to this mod's changes

review-pr is a skill published in the GitHub repository FradSer/dotclaude (588 stars, last pushed 24d ago), licensed MIT. It adds 105 tokens to every session and 2,924 once invoked, about $0.0005 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.

Code reviewGit and workflowclaude
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