Individual skill

fetch-pr-review

Fetch all reviewer comments left on your own pull request (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.

skills/fetch-pr-review/SKILL.md

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Source commit bc5e2cd450b25fa64e4ba3127f3e9b6ab33923c3

What was checked

Matches the observed repository HEAD: Yes
Scanner rules are current: No
Repository scan complete: No
Skill scan complete: Yes
Observed behavior: Not checked yet
Last checked: Nov 6, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

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Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings): 85
Repository last updated: Nov 8, 2026
License: MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

agent-skills Repository topic
ai-agents Repository topic
claude-code Repository topic
claude-skills Repository topic
spec-driven-development Repository topic
devops Derived category

Files and excerpt

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Browse files

SKILL.mdcore · 8,064 bytes
delegate.mddoc · 2,039 bytes

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# 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`). Someone else's PR to review is not this skill's job: use
`review-code-assistant` or `maintainer-review` when available.

## 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. Fetch each stream
through its last page, thread replies included: metadata, review verdicts, inline threads with
their resolution and outdated flags (usually a thread-level API, not the flat comment list),