pr-review

A structured checklist for reviewing pull requests, which are proposed code changes, across security, speed, maintainability, and code quality.

In plain words
What is it for?
Use it when reviewing new features, bug fixes, refactors, security changes, API changes, or database-schema changes.
Why use it?
It helps reviewers find concrete problems and question unverified assumptions instead of judging a change by its title or description.

Skill for Claude CodeCodex

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/jeremydev87/codingbuddy/pr-review
Any agent
npx skills add JeremyDev87/codingbuddy --skill pr-review
Clone the repo
git clone --depth 1 https://github.com/JeremyDev87/codingbuddy

Made for: Claude Code, Codex.

Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,887 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 $0.00032 $0.06887
Opus 5 $0.00016 $0.03444
Sonnet 5 $0.00006 $0.01377
Haiku 4.5 $0.00003 $0.00689

Measured 2d ago against content hash 34ffb2d016ec, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 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.

packages/rules/.ai-rules/skills/pr-review/SKILL.md · 775 lines

How it starts

The opening of the file, as written. The whole thing — 775 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PR Review

Overview

Systematic, evidence-based pull request review with anti-sycophancy principles. Critique-first ordering ensures critical issues are identified before any positive observations.

Core principle: Review what changed, not what it's called. Labels lie. Tests verify author's assumptions—review catches flawed assumptions.

Violating the letter of this process is violating the spirit of code review.

Table of Contents

When to Use

Always use for:

  • New feature PRs
  • Bug fix PRs
  • Refactoring PRs
  • Security-related changes
  • API changes
  • Database schema changes

Lighter review acceptable for:

  • Documentation-only changes
  • Configuration tweaks (still check security)
  • Dependency updates (still check security + breaking changes)

Never skip:

  • Security Quick Scan (4 critical items, ~2 min)

The Iron Law

NO APPROVAL WITHOUT COMPLETING ALL CRITICAL DIMENSIONS

Security, Correctness, and Test Coverage must ALWAYS be reviewed. No exceptions.

Read the full file on GitHub · 775 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. 2d ago First seen · 775 lines · 32 tokens per session scan A 34ffb2d016ec

Subscribe to this mod's changes

pr-review is a skill published in the GitHub repository JeremyDev87/codingbuddy (31 stars, last pushed 4mo ago), licensed MIT. It adds 32 tokens to every session and 6,887 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 2026-08-30.

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