pr-feedback

pr-feedback is a skill for Claude Code from ryanb/dotfiles. It costs 30 tokens per session (3,805 once invoked), scanned A, original, MIT.

A process for reviewing unresolved comments on the current branch's pull request, which is a proposed code change awaiting review.

In plain words
What is it for?
Use it to inspect review comments, decide whether each should be addressed or skipped, and make confirmed fixes in separate commits.
Why use it?
It separates straightforward fixes from decisions that need discussion and prevents changes from being made before the user confirms them.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions CLAUDE.md; mentions subagents; names the AskUserQuestion tool.

Good fit Use it to inspect review comments, decide whether each should be addressed or skipped, and make confirmed fixes in separate commits.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ryanb/dotfiles/pr-feedback
About the project

ryanb/dotfiles is a collection of command-line configuration files for macOS, centered on Zsh and related tools such as Git, Ruby, Rails, and IRB. It is for developers who want to customize their terminal with commands, completions, prompts, and fuzzy-finding workflows. Its catalogue skills and plugin provide coding-agent workflows built into the same setup.

ryanb/dotfiles · 2,400 stars · on GitHub

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 ryanb/dotfiles --skill pr-feedback
Clone the repo
git clone --depth 1 https://github.com/ryanb/dotfiles

Made for: Claude Code.

Its marketplace also offers this one on its own, as the plugin pr-feedback — /plugin install pr-feedback after adding the marketplace above.

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-feedback

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/ryanb/dotfiles/pr-feedback"><img src="https://agentmods.dev/badge/skills/ryanb/dotfiles/pr-feedback.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,805 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 $0.00030 $0.03805
Opus 5.5 $0.00012 $0.01522
Sonnet 5.5 $0.00006 $0.00761
Haiku 4.5 $0.00003 $0.00380

Measured 1mo ago against content hash 98551dc45aa7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pr-feedback 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 1mo 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.

claude/skills/pr-feedback/SKILL.md · 255 lines

How it starts

The opening of the file, as written. The whole thing — 255 lines — stays where its author put it; the contents beside it link to each section on GitHub.

pr-feedback — Triage and address unresolved PR review comments

The goal: look at every unresolved review comment on the PR for the current branch, evaluate each one independently, split them into ones that can simply be addressed (or skipped) and ones that need discussion, work through the discussion comments one at a time, and — only after all discussions are resolved and the user confirms — address each, one commit per comment (simple ones inline, involved ones via a sub-agent).

Unlike pending feedback, these comments come from other reviewers, so recommending to skip a comment (stale, already done, out of scope, or you disagree) is a legitimate outcome — but anything ambiguous, subjective, or a design call should go to discussion so the user decides, not be silently skipped.

Step 1: Find the PR for the current branch

pr_number=$(gh pr view --json number --jq .number)
pr_url=$(gh pr view --json url --jq .url)
repo=$(gh repo view --json nameWithOwner --jq .nameWithOwner)
base_branch=$(gh pr view --json baseRefName --jq .baseRefName)
me=$(gh api user --jq .login)

If gh pr view fails, stop and tell the user there is no open PR for the current branch.

Step 2: Fetch unresolved review comments

GitHub's REST API exposes review comments but not the isResolved flag — that lives on the review thread in GraphQL. Use GraphQL to pull threads with their resolution state and comments:

gh api graphql -f query='
  query($owner:String!, $repo:String!, $number:Int!) {
    repository(owner:$owner, name:$repo) {
      pullRequest(number:$number) {
        reviewThreads(first:100) {
          nodes {
            id
            isResolved
            isOutdated
            path
            line
            comments(first:50) {
              nodes {
                author { login }
                body
                url
                diffHunk
                originalLine
                path
              }
            }
          }
        }
      }
    }
  }' -F owner="$(echo $repo | cut -d/ -f1)" \
     -F repo="$(echo $repo | cut -d/ -f2)" \
     -F number="$pr_number"

Read the full file on GitHub · 255 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. 1mo ago First seen · 255 lines · 30 tokens per session scan A 98551dc45aa7

Subscribe to this mod's changes

pr-feedback is a skill published in the GitHub repository ryanb/dotfiles (2,400 stars, last pushed yesterday), licensed MIT. It adds 30 tokens to every session and 3,805 once invoked, about $0.0001 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 2026-08-30.

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