pull-feedback

A workflow for reviewing comments and requested changes on a GitHub pull request, a proposed code change awaiting review. It records each unresolved discussion and suggests a reasoned response or next step.

In plain words
What is it for?
Use it to fetch feedback on your pull request, assess each unresolved discussion, and plan what to change or explain.
Why use it?
It prevents review comments from being overlooked or accepted without considering whether they are valid, optional, unclear, or incorrect.

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/technicalpickles/pickled-claude-plugins/pull-feedback
Any agent
npx skills add technicalpickles/pickled-claude-plugins --skill pull-feedback
Clone the repo
git clone --depth 1 https://github.com/technicalpickles/pickled-claude-plugins

Made for: Claude Code, Codex.

Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,381 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 $0.00035 $0.01381
Opus 5 $0.00017 $0.00691
Sonnet 5 $0.00007 $0.00276
Haiku 4.5 $0.00003 $0.00138

Measured 2d ago against content hash 17a6383af476, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

pull-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 2d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (fetch.sh, tests/run-tests.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

plugins/git/skills/pull-feedback/SKILL.md · 99 lines

How it starts

The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Git Pull Feedback

Overview

Pulls review feedback on a PR the user authored into a working doc with per-thread triage slots. The point is rigor: every unresolved thread gets a tentative verdict (valid / invalid / nice-to-have / needs-clarification) with reasoning and a plan, so the user can work through feedback deliberately instead of rubber-stamping.

Announce: "Using git:pull-feedback to pull and triage feedback on PR #N."

Workflow

1. Fetch

./fetch.sh [ref]

ref accepts a bare number, #N, owner/repo#N, a PR URL, or nothing (auto-detects from current branch). The script writes a skeleton doc to .scratch/pr-reviews/<N>/threads.md with _pending triage_ placeholders and prints counts on stdout. Use this output location — don't invent your own filename.

2. Orient only if context is cold

Add a ## Summary section (1-2 sentences on what the PR does + state of the review) only if you don't already know the PR. If the user has been discussing it in conversation or the branch name tells you, skip — guessing wastes tokens and risks confabulation.

3. Triage each unresolved thread (shallow pass)

Each thread has a unique <!-- thread: N --> anchor. Use targeted Edit calls to fill three slots per thread:

  • Verdict (tentative): pick one, based on whether the reviewer is right:
    • Valid — reviewer has a point, code needs to change
    • Invalid — disagree for a concrete technical reason (not because the fix is inconvenient)
    • 💡 Nice-to-have — reasonable suggestion, but out of scope for this PR
    • Needs clarification — comment is ambiguous; ask the reviewer instead of guessing
  • Reasoning: 1-3 sentences. Reference the comment body or the code, not vibes. Severity ≠ verdict — a "should-fix" can still be Invalid if the reviewer is wrong.
  • Plan: concrete next step — fix inline, deep-dive first, reply-and-defer, ask reviewer.

Keep the (tentative) label. It's the shallow-pass signal; it invites deep-dive on anything non-obvious.

Read the full file on GitHub · 99 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. 2d ago First seen · 99 lines · 35 tokens per session scan A 17a6383af476

Subscribe to this mod's changes

pull-feedback is a skill published in the GitHub repository technicalpickles/pickled-claude-plugins (10 stars, last pushed 4d ago), licensed MIT. It adds 35 tokens to every session and 1,381 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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