It coordinates multi-agent GitHub reviews to analyze pull requests for security, style, and performance issues.
Install
mkdir -p .claude/skills/github-code-review && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/148" && unzip -o skill.zip -d .claude/skills/github-code-review && rm skill.zipInstalls to .claude/skills/github-code-review
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Comprehensive GitHub code review with AI-powered swarm coordinationKey capabilities
- →Coordinates swarm agents for specific review domains
- →Performs multi-perspective PR analysis
- →Automates security, performance, and accessibility checks
- →Integrates PR status with CLI feedback
How it works
Deploys specialized agents to process PR data concurrently, aggregating domain-specific insights into a singular review report.
Inputs & outputs
When to use github-code-review
- →Initiate security review for a PR
- →Perform architecture audit on new code
- →Automate style and accessibility checks
About this skill
GitHub Code Review Skill
AI-Powered Code Review: Deploy specialized review agents to perform comprehensive, intelligent code reviews that go beyond traditional static analysis.
🎯 Quick Start
Simple Review
# Initialize review swarm for PR
gh pr view 123 --json files,diff | npx ruv-swarm github review-init --pr 123
# Post review status
gh pr comment 123 --body "🔍 Multi-agent code review initiated"
Complete Review Workflow
# Get PR context with gh CLI
PR_DATA=$(gh pr view 123 --json files,additions,deletions,title,body)
PR_DIFF=$(gh pr diff 123)
# Initialize comprehensive review
npx ruv-swarm github review-init \
--pr 123 \
--pr-data "$PR_DATA" \
--diff "$PR_DIFF" \
--agents "security,performance,style,architecture,accessibility" \
--depth comprehensive
📚 Table of Contents
<details> <summary><strong>Core Features</strong></summary>- Multi-Agent Review System
- Specialized Review Agents
- PR-Based Swarm Management
- Automated Workflows
- Quality Gates & Checks
- Security Review Agent
- Performance Review Agent
- Architecture Review Agent
- Style & Convention Agent
- Accessibility Agent
🚀 Core Features
Multi-Agent Review System
Deploy specialized AI agents for comprehensive code review:
# Initialize review swarm with GitHub CLI integration
PR_DATA=$(gh pr view 123 --json files,additions,deletions,title,body)
PR_DIFF=$(gh pr diff 123)
# Start multi-agent review
npx ruv-swarm github review-init \
--pr 123 \
--pr-data "$PR_DATA" \
--diff "$PR_DIFF" \
--agents "security,performance,style,architecture,accessibility" \
--depth comprehensive
# Post initial review status
gh pr comment 123 --body "🔍 Multi-agent code review initiated"
Benefits:
- ✅ Parallel review by specialized agents
- ✅ Comprehensive coverage across multiple domains
- ✅ Faster review cycles with coordinated analysis
- ✅ Consistent quality standards enforcement
🤖 Specialized Review Agents
Security Review Agent
Focus: Identify security vulnerabilities and suggest fixes
# Get changed files from PR
CHANGED_FILES=$(gh pr view 123 --json files --jq '.files[].path')
# Run security-focused review
SECURITY_RESULTS=$(npx ruv-swarm github review-security \
--pr 123 \
--files "$CHANGED_FILES" \
--check "owasp,cve,secrets,permissions" \
--suggest-fixes)
# Post findings based on severity
if echo "$SECURITY_RESULTS" | grep -q "critical"; then
# Request changes for critical issues
gh pr review 123 --request-changes --body "$SECURITY_RESULTS"
gh pr edit 123 --add-label "security-review-required"
else
# Post as comment for non-critical issues
gh pr comment 123 --body "$SECURITY_RESULTS"
fi
<details>
<summary><strong>Security Checks Performed</strong></summary>
{
"checks": [
"SQL injection vulnerabilities",
"XSS attack vectors",
"Authentication bypasses",
"Authorization flaws",
"Cryptographic weaknesses",
"Dependency vulnerabilities",
"Secret exposure",
"CORS misconfigurations"
],
"actions": [
"Block PR on critical issues",
"Suggest secure alternatives",
"Add security test cases",
"Update security documentation"
]
}
</details>
<details>
<summary><strong>Comment Template: Security Issue</strong></summary>
🔒 **Security Issue: [Type]**
**Severity**: 🔴 Critical / 🟡 High / 🟢 Low
**Description**:
[Clear explanation of the security issue]
**Impact**:
[Potential consequences if not addressed]
**Suggested Fix**:
```language
[Code example of the fix]
References:
</details>
---
### Performance Review Agent
**Focus:** Analyze performance impact and optimization opportunities
```bash
# Run performance analysis
npx ruv-swarm github review-performance \
--pr 123 \
--profile "cpu,memory,io" \
--benchmark-against main \
--suggest-optimizations
<details>
<summary><strong>Performance Metrics Analyzed</strong></summary>
{
"metrics": [
"Algorithm complexity (Big O analysis)",
"Database query efficiency",
"Memory allocation patterns",
"Cache utilization",
"Network request optimization",
"Bundle size impact",
"Render performance"
],
"benchmarks": [
"Compare with baseline",
"Load test simulations",
"Memory leak detection",
"Bottleneck identification"
]
}
</details>
Architecture Review Agent
Focus: Evaluate design patterns and architectural decisions
# Architecture review
npx ruv-swarm github review-architecture \
--pr 123 \
--check "patterns,coupling,cohesion,solid" \
--visualize-impact \
--suggest-refactoring
<details>
<summary><strong>Architecture Analysis</strong></summary>
{
"patterns": [
"Design pattern adherence",
"SOLID principles",
"DRY violations",
"Separation of concerns",
"Dependency injection",
"Layer violations",
"Circular dependencies"
],
"metrics": [
"Coupling metrics",
"Cohesion scores",
"Complexity measures",
"Maintainability index"
]
}
</details>
Style & Convention Agent
Focus: Enforce coding standards and best practices
# Style enforcement with auto-fix
npx ruv-swarm github review-style \
--pr 123 \
--check "formatting,naming,docs,tests" \
--auto-fix "formatting,imports,whitespace"
<details>
<summary><strong>Style Checks</strong></summary>
{
"checks": [
"Code formatting",
"Naming conventions",
"Documentation standards",
"Comment quality",
"Test coverage",
"Error handling patterns",
"Logging standards"
],
"auto-fix": [
"Formatting issues",
"Import organization",
"Trailing whitespace",
"Simple naming issues"
]
}
</details>
🔄 PR-Based Swarm Management
Create Swarm from PR
# Create swarm from PR description using gh CLI
gh pr view 123 --json body,title,labels,files | npx ruv-swarm swarm create-from-pr
# Auto-spawn agents based on PR labels
gh pr view 123 --json labels | npx ruv-swarm swarm auto-spawn
# Create swarm with full PR context
gh pr view 123 --json body,labels,author,assignees | \
npx ruv-swarm swarm init --from-pr-data
Label-Based Agent Assignment
Map PR labels to specialized agents:
{
"label-mapping": {
"bug": ["debugger", "tester"],
"feature": ["architect", "coder", "tester"],
"refactor": ["analyst", "coder"],
"docs": ["researcher", "writer"],
"performance": ["analyst", "optimizer"],
"security": ["security", "authentication", "audit"]
}
}
Topology Selection by PR Size
# Automatic topology selection based on PR complexity
# Small PR (< 100 lines): ring topology
# Medium PR (100-500 lines): mesh topology
# Large PR (> 500 lines): hierarchical topology
npx ruv-swarm github pr-topology --pr 123
🎬 PR Comment Commands
Execute swarm commands directly from PR comments:
<!-- In PR comment -->
/swarm init mesh 6
/swarm spawn coder "Implement authentication"
/swarm spawn tester "Write unit tests"
/swarm status
/swarm review --agents security,performance
<details>
<summary><strong>Webhook Handler for Comment Commands</strong></summary>
// webhook-handler.js
const { createServer } = require('http');
const { execSync } = require('child_process');
createServer((req, res) => {
if (req.url === '/github-webhook') {
const event = JSON.parse(body);
if (event.action === 'opened' && event.pull_request) {
execSync(`npx ruv-swarm github pr-init ${event.pull_request.number}`);
}
if (event.comment && event.comment.body.startsWith('/swarm')) {
const command = event.comment.body;
execSync(`npx ruv-swarm github handle-comment --pr ${event.issue.number} --command "${command}"`);
}
res.writeHead(200);
res.end('OK');
}
}).listen(3000);
</details>
⚙️ Review Configuration
Configuration File
# .github/review-swarm.yml
version: 1
review:
auto-trigger: true
required-agents:
- security
- performance
- style
optional-agents:
- architecture
- accessibility
- i18n
thresholds:
security: block # Block merge on security issues
performance: warn # Warn on performance issues
style: suggest # Suggest style improvements
rules:
security:
- no-eval
- no-hardcoded-secrets
- proper-auth-checks
- validate-input
performance:
- no-n-plus-one
- efficient-queries
- proper-caching
- optimize-loops
architecture:
- max-coupling: 5
- min-cohesion: 0.7
- follow-patterns
- avoid-circular-deps
Custom Review Triggers
{
"triggers": {
"high-risk-files": {
"paths": ["**/auth/**", "**/payment/**", "**/admin/**"],
"agents": ["security", "architecture"],
"depth": "comprehensive",
"require-approval": true
},
"performan
---
*Content truncated.*
When not to use it
- →Small, trivial pull requests
- →Projects without GitHub integration
- →Reviews requiring manual architectural judgment only
Prerequisites
Limitations
- →Depends on availability of specialized review agents
- →Requires CI/CD environment integration
How it compares
Uses a multi-agent swarm for distributed, specialized analysis rather than a single general-purpose review prompt.
Compared to similar skills
github-code-review side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| github-code-review (this skill) | 13 | 2mo | Review | Advanced |
| reviewing-nextjs-16-patterns | 11 | 8mo | Review | Intermediate |
| agent-code-analyzer | 3 | 6mo | Review | Intermediate |
| code-review-ai-ai-review | 1 | 4mo | Review | Advanced |
Try saying
Example prompts that trigger this skill in your AI assistant.
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