coderabbit-rules-from-pr-reviews-fetch-comments

name	CodeRabbit Rules from PR Reviews - Fetch Comments
description	Fetch and filter human review comments from recent merged PRs in a GitHub repository

CodeRabbit Rules from PR Reviews - Fetch Comments

This skill runs a Python script that fetches human review comments from recent merged PRs in a given GitHub repository. It handles all GitHub API calls, bot filtering, noise removal, rate limiting, and pagination, returning clean JSON output for AI analysis.

When to Use This Skill

Use this skill as Step 2-3 of the /teams:coderabbit-rules-from-pr-reviews command to collect review comments. The script replaces manual gh api calls with a single Python invocation.

Prerequisites

1. GitHub CLI (gh): Must be installed and authenticated.
2. Python 3: Python 3.6 or later.

Script Location

plugins/teams/skills/coderabbit-rules-from-pr-reviews/fetch_pr_comments.py

Usage

# Default: 30 most recent merged PRs
python3 plugins/teams/skills/coderabbit-rules-from-pr-reviews/fetch_pr_comments.py openshift/origin

# Custom count
python3 plugins/teams/skills/coderabbit-rules-from-pr-reviews/fetch_pr_comments.py openshift/origin --count 50

# Full URL
python3 plugins/teams/skills/coderabbit-rules-from-pr-reviews/fetch_pr_comments.py https://github.com/openshift/origin

What the Script Does

1. Parses the repo argument — accepts owner/repo or full GitHub URL
2. Fetches recent merged PRs via gh pr list
3. For each PR, fetches two types of comments:
   • Inline code review comments (/pulls/{number}/comments)
   • General discussion comments (/issues/{number}/comments)
4. Filters out noise:
   • Bot accounts: logins ending in [bot] or matching known bots (coderabbitai, openshift-ci, openshift-bot, openshift-merge-robot, codecov, dependabot, renovate, k8s-ci-robot, etc.)
   • Prow commands: comments where every line starts with /
   • Approvals: /lgtm, /approve, /hold, etc.
   • Short comments: less than 20 characters
5. Rate limiting: 0.5s sleep between API calls, with retry logic for rate limit errors

Output Format

JSON to stdout, progress to stderr:

{
  "repo": "openshift/origin",
  "prs_analyzed": 30,
  "total_comments": 142,
  "unique_reviewers": 18,
  "reviewers": ["alice", "bob", "carol"],
  "prs": [
    {
      "number": 29500,
      "title": "Fix flaky test in e2e suite",
      "author": "dave",
      "url": "https://github.com/openshift/origin/pull/29500",
      "merged_at": "2026-03-25T14:30:00Z"
    }
  ],
  "comments": [
    {
      "pr": 29500,
      "user": "alice",
      "body": "This error should be wrapped with fmt.Errorf to preserve context",
      "path": "pkg/cmd/server/start.go",
      "type": "review",
      "pr_title": "Fix flaky test in e2e suite",
      "pr_author": "dave"
    },
    {
      "pr": 29500,
      "user": "bob",
      "body": "We should add a unit test for this edge case",
      "path": "",
      "type": "issue",
      "pr_title": "Fix flaky test in e2e suite",
      "pr_author": "dave"
    }
  ]
}

Field Descriptions

• repo: The normalized owner/repo string
• prs_analyzed: Number of merged PRs fetched
• total_comments: Number of human review comments after filtering
• unique_reviewers: Count of distinct human reviewers
• reviewers: Sorted list of reviewer logins
• prs[].number: PR number
• prs[].title: PR title
• prs[].author: PR author login
• prs[].url: PR URL
• prs[].merged_at: Merge timestamp
• comments[].pr: PR number the comment belongs to
• comments[].user: Reviewer login
• comments[].body: Full comment text
• comments[].path: File path (for inline review comments; empty for discussion comments)
• comments[].type: "review" for inline code comments, "issue" for general discussion
• comments[].pr_title: Title of the PR
• comments[].pr_author: Author of the PR

Notes

• Uses only Python standard library (no pip dependencies)
• Diagnostic/progress messages go to stderr, JSON data to stdout
• Handles GitHub API pagination for PRs with many comments
• Retries on rate limits with exponential backoff
• Analyzing 30 PRs typically takes 1-2 minutes (~60 API calls)