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/fetch-pr-review

Fetch all reviewer comments from a pull request URL (GitHub, Azure DevOps, …) and save them as a self-contained markdown PR-REVIEW file in the task's planning directory. Fetch only — no fixing or replying.

From plugin
agent-toolkit
4727 skills
Install
$ npx -y skills add eai-org/agent-toolkit --skill fetch-pr-review --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/fetch-pr-review

Context preview

The summary Claude sees to decide when to auto-load this skill.

Fetch all reviewer comments from a pull request URL (GitHub, Azure DevOps, …) and save them as a self-contained markdown PR-REVIEW file in the task's planning directory. Fetch only — no fixing or replying.

SKILL.md

fetch-pr-review.SKILL.md
name: fetch-pr-review
description: Fetch all reviewer comments from a pull request URL (GitHub, Azure DevOps, …) and save them as a self-contained markdown PR-REVIEW file in the task's planning directory. Fetch only — no fixing or replying.
license: MIT
metadata:
  version: "1.7"

PR review fetcher

**Fetch only** — capture the review feedback left on a pull request; never fix code, reply, or judge the comments. Output is a self-contained `.PR-REVIEW.md` a fresh session can pick up and act on (e.g. via `/refine-pr-review`).

Source & access

Identify the platform from the PR URL (host shape) and fetch through the matching MCP server or CLI — e.g. **GitHub MCP / `gh`** for GitHub PRs, **Azure DevOps MCP** for ADO pull requests. Use whichever equivalent tools are connected; tool name prefixes vary by config. If the input is ambiguous, or no matching MCP/CLI is available, ask the user / stop — don't guess.

Golden rule: never assume — ask

Every uncertainty is confirmed with the user before proceeding: a thread's resolved status, the planning directory, the slug, anything ambiguous in between. A plausible guess is a question, not an answer.

Your task

1. **Resolve the input.** Accept a full PR URL; extract repo/project and PR id. If unrecognizable, ask. 2. **Fetch the PR metadata** — title, description, source/target branch, state, author, linked ticket/work item — and **all feedback**:

  • inline review threads (file, line, code context, full reply chain);
  • top-level review verdicts (approve / request changes / …) with their summary text;
  • general conversation comments;
  • bot comments (CI, linters, coverage, …) — captured too, but grouped separately from human

feedback. 3. **Determine each thread's status** (see Status flags). 4. **Decide the output directory** — the planning directory of the task the PR belongs to, following the project's/user's convention for where plans live (default: `.agents/plans/`). Guess the task's existing home from PR context (linked ticket id, branch name, PR title) — its `<id>-<slug>/` subdirectory, or the shared parent/group directory holding its `<id>-<slug>.TICKET.md` when the ticket lives flat there — and **confirm the guess with the user**; when not sure, always ask. If no matching exists, propose a new `<id>-<slug>` (ticket id prefix when bound to one, kebab-case slug from the PR title), confirm, and create it. 5. **Pick the file name** — `<slug>.PR-REVIEW.md`, where `<slug>` is the planning directory name — in a shared directory, the ticket's own `<id>-<slug>` instead (e.g. `1234-some-task.PR-REVIEW.md`). If it already exists and this is a new review round, write `<slug>.PR-REVIEW-2.md`, `-3`, … — **never overwrite**; history per round is kept on purpose. 6. **Write the document** (see structure below). 7. **Print the result** — project-relative paths and the next-step line.

Status flags

Capture **every** comment, resolved or not, with its state from the platform's own signal (e.g. GitHub thread resolution, ADO thread status):

  • **Open / active** → actionable; no flag needed.
  • **Resolved** (closed, fixed, won't fix, …) → keep it, marked **resolved**, with the platform's

original status verbatim — `wontFix` is resolved but carries different intent than `fixed`.

  • **Outdated** (anchored to code later commits changed) → distinct **outdated** flag, never merged

into resolved: the code moved, but **the concern may still be valid** — say so in the document.

  • **Unclear** — the platform gives no clear signal, or the thread reads ambiguous (e.g. a reply

says "done" but the thread is still open) → **ask the user** how to mark it; never decide alone.

Document structure

Must stand on its own: a fresh session with no access to the PR must be able to locate every spot in the code and understand every piece of feedback without re-fetching.

# PR review: <title>

> **Source** [<PR id>](<url>)
> **Branch** <source> → <target>
> **State** {open/merged/…}
> **Author** {display name}
> **Linked ticket** [<id>](<url>) — omit if none
> **Fetched** {today YYYY-MM-DD}

## Review verdicts        — one per reviewer: verdict + summary text
## Inline threads         — one ### per thread: `path:line` + the opening quote, quoted code
                            context/diff hunk, comments oldest first as <author> — <date>,
                            status flag
## General comments       — non-inline human conversation, oldest first
## Bot comments           — automated feedback, grouped by bot

Omit empty sections. Quote file paths, code, identifiers, and user-facing strings **verbatim** — never alter or translate them.

Boundaries

  • The PR stays untouched — fetching is **read-only**: no replies, no resolving threads, no votes,

approvals, or edits.

  • **Do not** fix, analyze, or triage the feedback — capture and flag only.
  • The only files you create: the `.PR-REVIEW.md` (and its planning directory if new).

Next step

State clearly when done, using **project-relative paths**. List any thread whose status needed a user decision and how it was marked. Then hand off the next phase as a **single copy-pasteable launch command** — session name and prompt combined, so one paste starts the session. Use the launch syntax of the agent tool in use (vendor-agnostic — `claude` below is only the example), naming the session `refine-pr-<slug>`:

claude --name refine-pr-<slug> "/refine-pr-review <output-dir>/<slug>.PR-REVIEW.md"

Then offer the alternative — clearing the current session instead (vendor-agnostic — `/clear` below is only the example; use the clear command of the agent tool in use):

OR /clear and run:

/refine-pr-review <output-dir>/<slug>.PR-REVIEW.md
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A collection of generic agentic tools for common engineering tasks, designed to work with any AI agent on any kind of software project.

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