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

GitHub CLI (gh): Must be installed and authenticated.
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

Parses the repo argument — accepts owner/repo or full GitHub URL
Fetches recent merged PRs via gh pr list
For each PR, fetches two types of comments:
- Inline code review comments (/pulls/{number}/comments)
- General discussion comments (/issues/{number}/comments)
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
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)