Review GitHub pull requests and label them using OpenAI GPT-4o-mini and Slack

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Automate GitHub pull request reviews and labeling using OpenAI This workflow automates the first line of code review for your development team. By leveraging OpenAI, it analyzes pull request diffs,...

Best for

AI Summarization automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.stickynote, n8n-nodes-base.webhook, n8n-nodes-base.filter, n8n-nodes-base.code, n8n-nodes-base.github, n8n-nodes-base.httprequest, n8n-nodes-base.merge, @n8n/n8n-nodes-langchain.lmchatopenai

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by yu-ya.

Original n8n.io source

1.1 Workflow description

Title: Review GitHub pull requests and label them using OpenAI GPT-4o-mini and Slack
Workflow name: Review GitHub pull requests and label them using OpenAI GPT-4o-mini and Slack

Automate GitHub pull request reviews and labeling using OpenAI

This workflow automates the first line of code review for your development team. By leveraging OpenAI, it analyzes pull request diffs, assigns descriptive labels based on change size and category, posts summary comments back to GitHub, and keeps your team informed via Slack.

Who’s it for?

DevOps Engineers looking to standardize PR triage.
Team Leads who want to provide instant feedback to developers.
Open Source Maintainers managing high volumes of contributions.
Development Teams aiming to reduce manual overhead in code reviews.

How it works / What it does

Trigger: The workflow starts via a GitHub PR Webhook when a pull request is opened or synchronized.
Data Gathering: It extracts PR metadata and uses the GitHub Node and HTTP Request Node to fetch a list of changed files and the raw code diff.
Analysis: A Code Node categorizes the changes (e.g., size labels like size/S or size/L).
AI Review: The AI Agent (powered by OpenAI) analyzes the code diff to generate a quality score, summary, and specific strengths/concerns.
Action:
- The GitHub Node updates the PR with relevant labels.
- An automated review comment is posted to the PR discussion.
- A summary is sent to a Slack channel.
Reporting: All review data is logged into Google Sheets for long-term tracking and analytics.

Requirements

GitHub Account: OAuth credentials with repository access.
OpenAI API Key: For the Chat Model (recommends GPT-4o-mini or higher).
Slack Workspace: A bot token to post to the #code-reviews channel.
Google Sheets: A spreadsheet with headers matching the PR metadata.

How to set up

GitHub Webhook: Configure your GitHub repository to send "Pull request" events to the Webhook URL provided by this workflow.
Credentials: Authenticate your GitHub, OpenAI, Slack, and Google Sheets accounts in their respective nodes.
Google Sheets: Select your target Spreadsheet and Sheet name in the "Log to Sheets" node.
Slack: Ensure the Slack bot is invited to the channel specified in the "Notify Slack" node.

How to customize

AI Prompt: Modify the "System Message" in the AI Code Reviewer node to reflect your team's specific coding standards or preferred review tone.
Labeling Logic: Edit the "Analyze File Changes" node to add custom labels based on file paths (e.g., frontend, documentation).
Review Logic: Add an If Node after the AI analysis to only auto-approve PRs with a quality score higher than 90.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Main Overview

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 2 - Intake Group

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 3 - Data Group

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 4 - AI Group

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 5 - Action Group

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 6 - Report Group

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 7 - GitHub PR Webhook

Type / Role: n8n-nodes-base.webhook - webhook
Config choices: Version 2

Block 8 - Filter PR Events

Type / Role: n8n-nodes-base.filter - filter
Config choices: Version 2.2

Block 9 - Extract PR Data

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 10 - Get PR Files

Type / Role: n8n-nodes-base.github - github
Config choices: Version 1

Block 11 - Fetch PR Diff

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 12 - Merge PR Info

Type / Role: n8n-nodes-base.merge - merge
Config choices: Version 3

Block 13 - Analyze File Changes

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 14 - OpenAI Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.2

Block 15 - AI Code Reviewer

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.7

Block 16 - Parse AI Review

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 17 - Add PR Labels

Type / Role: n8n-nodes-base.github - github
Config choices: Version 1

Block 18 - Post Review Comment

Type / Role: n8n-nodes-base.github - github
Config choices: Version 1

Block 19 - Notify Slack

Type / Role: n8n-nodes-base.slack - slack
Config choices: Version 2.2

Block 20 - Aggregate Results

Type / Role: n8n-nodes-base.aggregate - aggregate
Config choices: Version 1

Block 21 - Log to Sheets

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.5

Block 22 - Respond to Webhook

Type / Role: n8n-nodes-base.respondToWebhook - respondToWebhook
Config choices: Version 1.1

3. Summary Table

Workflow	Review GitHub pull requests and label them using OpenAI GPT-4o-mini and Slack
Complexity	advanced
Nodes	22
Categories	AI Summarization
Author	yu-ya
Published	19 Dec 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/11967/11967.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source AI Summarization workflows

Frequently asked questions

What does Review GitHub pull requests and label them using OpenAI GPT-4o-mini and Slack do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your AI Summarization use case.

yu-ya

3 workflows

Nodes

n8n-nodes-base.stickynote n8n-nodes-base.webhook n8n-nodes-base.filter n8n-nodes-base.code n8n-nodes-base.github n8n-nodes-base.httprequest n8n-nodes-base.merge @n8n/n8n-nodes-langchain.lmchatopenai

Complexity

advanced

Published 19 Dec 2025

Likes 0

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Install path: /data/workflows/11967/11967.json

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Review GitHub pull requests and label them using OpenAI GPT-4o-mini and Slack

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Automate GitHub pull request reviews and labeling using OpenAI

Who’s it for?

How it works / What it does

Requirements

How to set up

How to customize

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Main Overview

Block 2 - Intake Group

Block 3 - Data Group

Block 4 - AI Group

Block 5 - Action Group

Block 6 - Report Group

Block 7 - GitHub PR Webhook

Block 8 - Filter PR Events

Block 9 - Extract PR Data

Block 10 - Get PR Files

Block 11 - Fetch PR Diff

Block 12 - Merge PR Info

Block 13 - Analyze File Changes

Block 14 - OpenAI Chat Model

Block 15 - AI Code Reviewer

Block 16 - Parse AI Review

Block 17 - Add PR Labels

Block 18 - Post Review Comment

Block 19 - Notify Slack

Block 20 - Aggregate Results

Block 21 - Log to Sheets

Block 22 - Respond to Webhook

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions