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.
Install
npx skills add https://github.com/eai-org/agent-toolkit/tree/main/skills/fetch-pr-review
claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install eai-org-agent-toolkit@llmmart
git clone https://github.com/eai-org/agent-toolkit.git
The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole eai-org/agent-toolkit collection as a plugin from our marketplace. Git is the plain clone.
Skill manifest
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
- Resolve the input. Accept a full PR URL; extract repo/project and PR id. If unrecognizable, ask.
- 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.
- Determine each thread's status (see Status flags).
- 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.mdwhen 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. - 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. - Write the document (see structure below).
- 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 —
wontFixis resolved but carries different intent thanfixed. - 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
Files (agent-toolkit)
-
SKILL.md 5.7 KB
--- 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. ```markdown # 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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