pr-review-response

pr-review-response is a skill for Claude Code, Codex from github/gh-aw. It costs 22 tokens per session (2,574 once invoked), scanned A, original, MIT.

A procedure for replying to pull-request review threads after making the requested code changes.

In plain words
What is it for?
It helps explain fixes on GitHub review threads and optionally mark those threads as resolved.
Why use it?
It keeps each fix connected to the reviewer’s comment so the resolution can be checked without rereading the whole change.

Skill for Claude CodeCodex ✓ vendor

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

Good fit It helps explain fixes on GitHub review threads and optionally mark those threads as resolved.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/github/gh-aw/pr-review-response
About the project

GitHub Agentic Workflows is a GitHub CLI extension that lets developers define AI-assisted repository automation in Markdown and run it through GitHub Actions. It is intended for tasks requiring interpretation or reasoning, such as issue triage, pull-request review, CI investigation, documentation maintenance, and dependency analysis. The catalogue entries provide skills and agents for working with these workflows.

github/gh-aw · 5,109 stars · on GitHub · gh.io

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 github/gh-aw --skill pr-review-response
Clone the repo
git clone --depth 1 https://github.com/github/gh-aw

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-response

README.md
[![agentmods](https://agentmods.dev/badge/skills/github/gh-aw/pr-review-response.svg)](https://agentmods.dev/skills/github/gh-aw/pr-review-response)
Your own site
<a href="https://agentmods.dev/skills/github/gh-aw/pr-review-response"><img src="https://agentmods.dev/badge/skills/github/gh-aw/pr-review-response.svg" alt="Measured on agentmods" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,574 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.
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 $0.00022 $0.02574
Opus 5 $0.00011 $0.01287
Sonnet 5 $0.00004 $0.00515
Haiku 4.5 $0.00002 $0.00257

Measured 3d ago against content hash fe66f6493cc1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

pr-review-response 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 3d 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

4 near-identical copies found in the catalogue:

.squad/templates/skills/pr-review-response/SKILL.md · 269 lines

How it starts

The opening of the file, as written. The whole thing — 269 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Context

When an agent fixes code in response to PR review comments (from Copilot, a human reviewer, or any GitHub reviewer), the fix alone is not enough. The reviewer needs to see — on the PR thread itself — which comments were addressed and how. Without replies, comments stay visually unresolved, reviewers must re-read the entire diff to verify fixes, and there's no traceable link between feedback and resolution.

Use this skill whenever:

  • You are fixing code based on PR review feedback
  • You are addressing Copilot review suggestions
  • You are responding to reviewer-requested changes on a PR
  • A squad member hands you review comments to resolve

SCOPE

✅ THIS SKILL PRODUCES:

  • Reply comments on each review thread explaining the fix
  • Optionally resolved threads (via GraphQL when appropriate)
  • Commit messages that reference the PR and review context

❌ THIS SKILL DOES NOT PRODUCE:

  • The code fixes themselves (that's the agent's domain work)
  • New review comments or reviews
  • PR descriptions or summaries

Patterns

Step 1: Read the review comments

Using MCP tools (preferred when available):

github-mcp-server-pull_request_read
  method: "get_review_comments"
  owner: "{owner}"
  repo: "{repo}"
  pullNumber: {pr_number}

This returns review threads with metadata: isResolved, isOutdated, isCollapsed, and their associated comments. Each comment has an id you'll need for replies.

Using gh CLI (fallback):

gh api repos/{owner}/{repo}/pulls/{pr_number}/comments --paginate

Each comment object contains id, body, path, line, and in_reply_to_id. Top-level comments have no in_reply_to_id — those are the ones you reply to.

Step 2: Fix the code

Make the actual code changes. This is your normal domain work — the skill doesn't prescribe how to fix, only how to communicate the fix.

Track what you changed. For each review comment, note:

  • The comment id (top-level, not a reply)
  • The file and line referenced
  • What you actually changed (brief description)
  • The commit SHA after pushing (if available)

Read the full file on GitHub · 269 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. 3d ago First seen · 269 lines · 22 tokens per session scan A fe66f6493cc1

Subscribe to this mod's changes

pr-review-response is a skill published in the GitHub repository github/gh-aw (5,109 stars, last pushed today), licensed MIT. It adds 22 tokens to every session and 2,574 once invoked, about $0.0001 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 2026-09-03.

Related

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