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pr-review

Review PR comments from GitHub. Fetches inline review comments and issue comments, classifies by blocking vs non-blocking, and summarizes actionable items.

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  • SKILL.md2.3 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Review PR Comments

Context

  • Branch: !git branch --show-current
  • Remote: !gh repo view --json nameWithOwner -q .nameWithOwner

Task

Given PR number $ARGUMENTS (required), fetch and triage all reviewer comments.

1. Fetch comments

Run these two gh api calls to get both comment types:

# Inline review comments (attached to specific lines)
gh api repos/{owner}/{repo}/pulls/{pr}/comments --paginate

# Issue-level comments (general discussion)
gh api repos/{owner}/{repo}/issues/{pr}/comments --paginate

If --repo is provided in arguments, use that. Otherwise infer from the git remote.

Filter out bot comments (author login ending in [bot] or bot).

2. Parse and classify

For each human comment, extract:

  • Author: .user.login
  • Type: review (inline) or discussion (issue-level)
  • File + line: .path and .line (review comments only)
  • Body: .body
  • Blocking: true if body contains blocking:, must-fix:, bug:, security:, or tests: prefix
  • Created: .created_at

3. Summarize

Output a table grouped by blocking status:

## Blocking (must resolve before merge)

| # | Author | File:Line | Comment |
|---|--------|-----------|---------|
| 1 | user   | main.py:42 | concern about race condition |

## Non-blocking (address or acknowledge)

| # | Author | File:Line | Comment |
|---|--------|-----------|---------|
| 1 | user   | utils.py:10 | nit: rename variable |

Comments without a blocking prefix are classified as non-blocking.

4. Suggest next steps

For each blocking comment, suggest the minimal fix. If the comment is a question, draft a reply. If it requires a code change, identify the file and describe what to change.

Anti-patterns

  • Do not fetch the full PR diff. The comments already reference specific files and lines.
  • Do not reply to or resolve comments automatically. Surface the information; let the user decide.
  • Do not ignore bot comments silently. Filter them but mention the count.

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