Pr Review Assistant

Automated pull request review providing detailed feedback on correctness, security, performance, maintainability, testing, and best practices.

Automated pull request review with structured feedback on code quality, security, performance, and best practices. Use when reviewing PRs, preparing code for review, or setting up automated review workflows.

Usage

bash

# Review current branch changes against main
python3 scripts/pr_review.py

# Review specific PR (requires gh CLI)
python3 scripts/pr_review.py --pr 42

# Review staged changes only
python3 scripts/pr_review.py --staged

# Review with specific focus areas
python3 scripts/pr_review.py --focus security,performance

Review Categories

The assistant evaluates code across 6 dimensions:

1. Correctness

• Logic errors, off-by-one, null handling
• Missing edge cases
• Incorrect type usage

2. Security

• Injection vulnerabilities (SQL, XSS, command)
• Hardcoded secrets or credentials
• Insecure deserialization
• Missing input validation

3. Performance

• N+1 queries, unnecessary loops
• Memory leaks, unbounded growth
• Missing indexes on queried fields
• Inefficient algorithms

4. Maintainability

• Dead code, unused imports
• Functions doing too much
• Unclear naming
• Missing or excessive comments

5. Testing

• Are new code paths covered?
• Missing edge case tests
• Test quality (assertions, mocking)

6. Best Practices

• Framework-specific patterns
• Error handling conventions
• API design consistency
• Documentation updates needed

Output Format

markdown

## PR Review Summary

**Risk Level:** 🟢 Low / 🟡 Medium / 🔴 High

### Must Fix (blocking)
- [file:line] Description of critical issue

### Should Fix (non-blocking)
- [file:line] Description of improvement

### Consider (optional)
- [file:line] Suggestion for better approach

### Positive Notes
- What was done well

Parameters

Parameter	Description	Default
--pr	GitHub PR number	None (uses diff)
--base	Base branch to compare	main
--staged	Review staged changes only	false
--focus	Comma-separated focus areas	All
--severity	Minimum severity to report	low
--format	Output format: markdown, json, github-comment	markdown
--max-files	Max files to review	50

AI Enhancement

When used as an agent skill, the AI reviewer:

• Understands project context from surrounding code, not just the diff
• Identifies patterns across multiple changed files
• Suggests specific code fixes, not just descriptions of problems
• Learns from repository conventions and applies them consistently
• Generates review comments in the project's preferred style