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PR Tagger - Automated Pull Request Intelligence

The Problem

Reviewers find it challenging to evaluate pull requests quickly. Without information on size, complexity, and risk, teams waste time examining scope, overlook high-risk changes, and struggle to prioritise reviews efficiently. This hampers development speed and raises the chance that issues reach production.

The Solution

PR Tagger automatically analyses every pull request and provides instant insights through intelligent labels and detailed analysis. Teams understand the scope, complexity, and risk of changes at a glance, enabling faster, more effective code reviews.

Completely free - no token limits, usage caps, or hidden costs.


Key Features

  • Automatic Label Generation: Size (small/medium/large/XL), complexity (0-10 scale), risk level (low/medium/high), type (feature/bugfix/refactor)
  • Smart Analysis: Documentation detection, impact assessment, risk mitigation for high-risk PRs
  • Professional PR Comments: Detailed breakdown with visual badges, email-friendly formatting, collapsible sections
  • Language Detection: Automatically identifies primary languages used in changes
  • Zero Configuration: Install and forget - works immediately on all PRs with no setup or maintenance
  • Completely Free: No token limits, usage caps, or hidden costs

Pricing

PR Tagger is 100% free with no token limits, usage caps, or hidden costs. Install once and benefit forever.

Setup

Quick Installation (1 minute)

  1. Install PR Tagger on your repository
  2. Open a pull request
  3. Analysis appears automatically in seconds
  4. No configuration needed

For advanced configuration options, visit the setup guide.

How It Works

Automatic Analysis

PR Tagge analyses every pull request automatically:

  1. Label Generation: Adds size, complexity, risk, and type labels to the PR
  2. Detailed Comment: Posts a comprehensive analysis with visual badges and metrics
  3. Email Notifications: Analysis appears in GitHub notification emails with proper formatting
  4. Risk Highlighting: High-risk PRs are flagged for extra review attention

Privacy & Security

  • Codanalyzed in real-time, never stored
  • GitHub native - works within GitHub's security model
  • Minimal permissions (PR read access, label/comment write)
  • Open source friendly with fully transparent operation

Example Analysis

## PR Analysis Summary

![Risk Level](https://img.shields.io/badge/Risk-MEDIUM-yellow)
![Complexity](https://img.shields.io/badge/Complexity-6/10-blue)
![Files Changed](https://img.shields.io/badge/Files-8-informational)

### Change Metrics
| Metric | Value |
|:-------|------:|
| Lines Added | +368 |
| Lines Deleted | -164 |
| Files Modified | 8 |
| Complexity Score | 6/10 |
| Risk Assessment | MEDIUM |

### Classification
`feature` `frontend` `typescript`

### Files by Type
**typescript**  5 files (+342, -156)
**css**         2 files (+18, -8)
**markdown**    1 file (+8, -0)

### Risk Factors
- Multiple core files modified
- Significant logic changes detected
- Moderate file diversity (3 languages)

---
Analysed by **Woden Tagger**

Support


Get Started: Install PR Tagger


Built by Woden AI · Website

About

Intelligent PR analysis and labeling for GitHub. Automatically tags pull requests with size, complexity, risk assessment, and type labels. Issues, feature requests, and discussions welcome!

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