pr-pending-feedback

pr-pending-feedback is a skill for Claude Code, Codex from ryanb/dotfiles. It costs 36 tokens per session (3,622 once invoked), scanned A, original, MIT.

A workflow for handling review comments on a draft pull request, which is a proposed code change awaiting approval. It evaluates each comment, discusses unclear decisions with you, and can assign separate fixes and commits after confirmation.

In plain words
What is it for?
Use it to inspect pending comments on the current branch's pull request, decide which need discussion, and create one fix and commit per confirmed comment.
Why use it?
It organizes unfinished review feedback so comments are considered individually and unresolved choices are brought to you. This reduces the chance of silently ignoring or mixing together review changes.

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/ryanb/dotfiles/pr-pending-feedback
Any agent
npx skills add ryanb/dotfiles --skill pr-pending-feedback
Clone the repo
git clone --depth 1 https://github.com/ryanb/dotfiles

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-pending-feedback

README.md
[![agentmods](https://agentmods.dev/badge/skills/ryanb/dotfiles/pr-pending-feedback.svg)](https://agentmods.dev/skills/ryanb/dotfiles/pr-pending-feedback)
Your own site
<a href="https://agentmods.dev/skills/ryanb/dotfiles/pr-pending-feedback"><img src="https://agentmods.dev/badge/skills/ryanb/dotfiles/pr-pending-feedback.svg" alt="Measured on agentmods" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,622 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 $0.00036 $0.03622
Opus 5 $0.00018 $0.01811
Sonnet 5 $0.00007 $0.00724
Haiku 4.5 $0.00004 $0.00362

Measured 4d ago against content hash a05877e42ce6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

pr-pending-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 4d 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-pending-feedback/SKILL.md · 208 lines

How it starts

The opening of the file, as written. The whole thing — 208 lines — stays where its author put it; the contents beside it link to each section on GitHub.

pr-pending-feedback — Triage and address pending PR review comments

The goal: look at every comment on the pending (unsubmitted) review the current user has drafted on the PR for the current branch, evaluate each one independently, split them into ones that can simply be addressed 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 — dispatch a sub-agent per comment to fix it, one commit per comment.

These comments are the user's own. Never recommend skipping a comment. Every comment either gets addressed directly, or — if there's any ambiguity, subjectivity, design call, or doubt about applicability — gets opened up for discussion so the user can decide. "Skip" is only ever an outcome the user explicitly chooses during discussion, never something this skill proposes on its own.

Pending reviews are private to their author until submitted, so this skill only sees comments authored by the currently authenticated gh user.

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: Find the pending review

List reviews on the PR and find one in PENDING state authored by the current user:

gh api "repos/$repo/pulls/$pr_number/reviews" --jq \
  ".[] | select(.state==\"PENDING\" and .user.login==\"$me\") | {id, body, submitted_at, html_url}"

If there is no pending review, stop and tell the user there is no pending review on this PR for them. If there are multiple pending reviews (rare), list them and ask which to use.

Capture the id as review_id.

Step 3: Fetch the pending review's comments

gh api "repos/$repo/pulls/$pr_number/reviews/$review_id/comments"

Read the full file on GitHub · 208 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. 4d ago First seen · 208 lines · 36 tokens per session scan A a05877e42ce6

Subscribe to this mod's changes

pr-pending-feedback is a skill published in the GitHub repository ryanb/dotfiles (2,399 stars, last pushed 14d ago), licensed MIT. It adds 36 tokens to every session and 3,622 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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