review-pr

review-pr is a skill for Claude Code, Codex from dentiny/kon. It costs 46 tokens per session (846 once invoked), scanned A, original, MIT.

A read-only GitHub pull-request review skill. A pull request is a proposed set of code changes; this review examines the proposal, its description, related issues, and existing review comments together.

In plain words
What is it for?
Use it to assess a pull request's diff, description, linked GitHub issues, comments, reviews, and test plan without editing or merging code.
Why use it?
It helps reveal correctness problems, missing requirements, misleading claims, and review requests that the code changes have not addressed.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

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

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 review-pr

README.md
[![agentmods](https://agentmods.dev/badge/skills/dentiny/kon/review-pr.svg)](https://agentmods.dev/skills/dentiny/kon/review-pr)
Your own site
<a href="https://agentmods.dev/skills/dentiny/kon/review-pr"><img src="https://agentmods.dev/badge/skills/dentiny/kon/review-pr.svg" alt="Measured on agentmods" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 846 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 5.1 $0.00046 $0.00846
Opus 5 $0.00023 $0.00423
Sonnet 5 $0.00009 $0.00169
Haiku 4.5 $0.00005 $0.00085

Measured 5d ago against content hash 6b42cc189e89, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, 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.

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/review-pr/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.

Review PR (holistic)

Owner: 📝 Mio (review-pr mode) Consumers: /kon:review-pr

Core principles (always): follow skills/core-principles — first principles (don't hide the issue); simplest, most concise correct solution.

Scope

Review the whole PR package, not just the diff:

Input Review
Code diff Logic, correctness, edge cases (subset of strict-review — see below)
PR title & body Accuracy vs diff, missing test plan, misleading claims
Existing PR review comments What reviewers asked for; what's addressed vs still open
Linked GitHub issue(s) Requirements from issue body/comments; whether PR satisfies them

Ask if PR number/URL is missing when user clearly means an open GitHub PR — follow skills/ask-dont-guess.

Orchestrator: gather context (before spawning Mio)

GitHub PR (preferred when user gives number or URL)

gh pr view <N> --json title,body,author,comments,reviews,reviewDecision,files,closingIssuesReferences
gh pr diff <N>

Parse Fixes #123 / Closes #456 / Relates to org/repo#789 from body if not in closingIssuesReferences. For each linked issue:

gh issue view <N> --json title,body,state,labels,comments

Include all review comments and inline review threads in the prompt (truncate only with a note listing omitted IDs).

Local only (no PR number)

git diff HEAD          # default
git diff --cached      # when --staged
gh pr view --json title,body,comments,reviews,files,closingIssuesReferences 2>/dev/null || true

If gh pr view succeeds for the current branch, treat it like a GitHub PR and include body + comments + linked issues.

Pass gathered text to Mio as PR_CONTEXT in the task prompt. Set MODE: review-pr.

Code review bar

Apply the 7-item golden checklist from skills/strict-review to the diff only — mark [x]/[ ] under ## Code review. Default verdict starts BLOCKED until evidence supports otherwise.

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. 5d ago First seen · 97 lines · 46 tokens per session scan A 6b42cc189e89

Subscribe to this mod's changes

review-pr is a skill published in the GitHub repository dentiny/kon (3 stars, last pushed 1mo ago), licensed MIT. It adds 46 tokens to every session and 846 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 2026-08-31.

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