pr-review

pr-review is a skill for Claude Code from mthines/agent-skills. It costs 78 tokens per session (3,508 once invoked), scanned A, original, MIT.

A read-only command that reviews a GitHub pull request and reports the reviewer's findings without changing files, pushing commits, or resolving discussion threads.

In plain words
What is it for?
Use it to check a GitHub pull request for issues and receive a verdict and findings. It can also save maintainer relevance rules for future reviews.
Why use it?
It lets you get feedback on a pull request while leaving your working tree and the pull request untouched.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: mentions CLAUDE.md; mentions subagents; mentions Claude Code.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is node agents/pr-reviewer/scripts/fingerprint.mjs build \.

Part of the mthines-agent-skills plugin — 55 skills, 4 agents shipped together

Good fit Use it to check a GitHub pull request for issues and receive a verdict and findings. It can also save maintainer relevance rules for future reviews.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/mthines/agent-skills
agentmods
npx agentmods add skills/mthines/agent-skills/pr-review

Made for: Claude Code.

Or install mthines-agent-skills, the plugin that ships this one along with the rest of its 55 skills, 4 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.

agentmods badge for pr-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/mthines/agent-skills/pr-review/github.svg)](https://agentmods.dev/skills/mthines/agent-skills/pr-review)
Your own site
<a href="https://agentmods.dev/skills/mthines/agent-skills/pr-review"><img src="https://agentmods.dev/badge/skills/mthines/agent-skills/pr-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.

agentmods 80×15 button for pr-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/mthines/agent-skills/pr-review"><img src="https://agentmods.dev/badge/skills/mthines/agent-skills/pr-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 78 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,508 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00078 $0.03508
Opus 5 $0.00039 $0.01754
Sonnet 5 $0.00016 $0.00702
Haiku 4.5 $0.00008 $0.00351

Measured yesterday against content hash 9fe06fb06d47, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

pr-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 yesterday.

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.

skills/quality/pr-review/SKILL.md · 278 lines

How it starts

The opening of the file, as written. The whole thing — 278 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/pr-review — one-shot read-only PR review

This is the thin entry point the pr-reviewer agent's own documentation already promises (Trigger with /pr-review <PR-URL|#n>), and it does exactly one thing: dispatch that agent at a PR and report what came back.

It never applies a finding, never pushes, and never resolves a thread. That is the whole distinction from its neighbours, and it is the reason to reach for this command rather than one of them: you get a review, and your working tree is exactly where you left it.

Contents


Operations

Parse the first token of $ARGUMENTS.

First token Operation Runs
remember memory write one mcp__lorekit__memory_write, no review
anything else (or empty) review one pr-reviewer dispatch, read-only

There is no third operation, and no mode flag that turns this command into an apply pass. A request to fix what the review found is /review-changes, below.

Step 0: Parse the argument

Everything after the PR reference is a pass-through flag: forward it verbatim and interpret none of it. The agent owns its own flag grammar, so a flag this skill has never heard of must still reach it.

# Known agent flags, listed for the argument-hint only — NOT a validation allowlist.
#   --critical --full --effort high --with a,b,c --no-holistic --no-escalate
#   --no-optimize --no-standards --skip-gates --fix-links

Read the full file on GitHub · 278 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.

  1. yesterday Changed · +10 lines 9fe06fb06d47
  2. 5d ago First seen · 268 lines · 78 tokens per session scan A 76b7bc0ed49c

Subscribe to this mod's changes

pr-review is a skill published in the GitHub repository mthines/agent-skills (13 stars, last pushed yesterday), licensed MIT. It adds 78 tokens to every session and 3,508 once invoked, about $0.0004 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 2026-09-04.

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