pr-review

pr-review is a skill for Claude Code, Codex from dannote/dot-pi. It costs 79 tokens per session (1,746 once invoked), scanned A, original, MIT.

A skill for critically reviewing GitHub pull requests, which are proposed code changes submitted for discussion and approval. It supports first reviews, follow-up reviews, checking feedback, and assessing merge readiness.

In plain words
What is it for?
Finding defects, verifying requested changes, evaluating automated checks, drafting review comments, and deciding whether a pull request is ready to merge.
Why use it?
It provides a structured way to judge code changes against the repository's own rules, discussion, tests, and checks.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions AGENTS.md.

Good fit Finding defects, verifying requested changes, evaluating automated checks, drafting review comments, and deciding whether a pull request is ready to merge.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dannote/dot-pi/pr-review
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 dannote/dot-pi --skill pr-review
Clone the repo
git clone --depth 1 https://github.com/dannote/dot-pi

Made for: Claude Code, Codex.

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/dannote/dot-pi/pr-review/github.svg)](https://agentmods.dev/skills/dannote/dot-pi/pr-review)
Your own site
<a href="https://agentmods.dev/skills/dannote/dot-pi/pr-review"><img src="https://agentmods.dev/badge/skills/dannote/dot-pi/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/dannote/dot-pi/pr-review"><img src="https://agentmods.dev/badge/skills/dannote/dot-pi/pr-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 79 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,746 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 $0.00079 $0.01746
Opus 5.5 $0.00032 $0.00698
Sonnet 5.5 $0.00016 $0.00349
Haiku 4.5 $0.00008 $0.00175

Measured 2mo ago against content hash 53a15d0117cb, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 2mo 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/pr-review/SKILL.md · 97 lines

How it starts

The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Pull Request Review

Review before mutating. Read the repository's AGENTS.md, CONTRIBUTING.md, PR template, and relevant bot instructions before judging the change. Treat those files as the project's source of truth; do not import conventions from another repository.

Choose the workflow

Context Role Output
First review Reviewer Evidence-based findings and one recommendation
Re-review after feedback Follow-up reviewer Status of each requested change plus regression findings
Merged or closed PR Auditor Retrospective findings and any separate follow-up action
CodeRabbit, Copilot, or contributor review Maintainer Independently verified classifications
CI and checks Reviewer Attributed pass, PR failure, infrastructure failure, flake, skip, or unknown
Preparing comments Maintainer reviewer Exact concise inline-comment draft
Approved fix or merge Maintainer/implementer Scoped action and validation result
  • First review: inspect the final diff, history, discussion, checks, and relevant source/tests.
  • Re-review: compare the reviewed commit SHA with the current head before classifying anything. Build the requested-change list from maintainer reviews, inline threads, author responses, and later commits. Mark each item as maintainer-requested, external suggestion, or newly discovered, then classify it as addressed, partial, unresolved, or obsolete from the current diff. If no commits or relevant changes followed the review, say so directly; do not infer fixes from the PR body or commit message.
  • Merged or closed PR: review retrospectively. Do not recommend merging, approving, or requesting changes; identify only lessons or a separate follow-up warranted by current code.
  • External review: verify each CodeRabbit, Copilot, or contributor finding against the current head, current PR body, current conversation, and repository policy; classify it as valid, invalid, stale, duplicate, or low-value. A bot threshold is not a project requirement unless repository guidance or CI makes it one; do not add comments or code solely to satisfy an unsupported metric.
  • CI and checks: inspect failing logs, not only check summaries. Attribute each relevant result as passing, failing because of the PR, infrastructure failure, flaky, cancelled/blocked, skipped/not applicable, or unverified. Report the actual checks; do not inflate the count with service statuses or infer checks that are not present.
  • Draft comments: map valid findings to the smallest useful line range, prefer inline comments, remove duplicates, and show the exact draft.
  • Fix or merge: only act after the user explicitly chooses that action. Use vibe-merge when reimplementing selected ideas instead of merging a PR wholesale.

Read the full file on GitHub · 97 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. 2mo ago First seen · 97 lines · 79 tokens per session scan A 53a15d0117cb

Subscribe to this mod's changes

pr-review is a skill published in the GitHub repository dannote/dot-pi (57 stars, last pushed 2d ago), licensed MIT. It adds 79 tokens to every session and 1,746 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-03.

Related

pr-review compared with skills from other repositories

pr-review next to 6 skills from other repositories
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pr-reviewdannote/dot-piSkill572d agoMITA79Claude Code, Codex
mine-plan-review6ixGODD/mineSkill164d agoMITA100Claude Code
regression-preventionmatt-bat/agent-command-centerSkill42mo agononeA75Claude Code, Codex
multi-agent-security-reviewPSPDFKit-labs/pi-skillsSkill175mo agononeA45Claude Code, Codex
multi-reviewPSPDFKit-labs/pi-skillsSkill175mo agononeA24Claude Code, Codex
gh-address-commentsPSPDFKit-labs/pi-skillsSkill175mo agononeA39Claude Code, Codex
agent-watchdogBuilderIO/skillsSkill4.6k4d agoMITA115Claude Code, Codex