github-code-review
Comprehensive GitHub code review with AI-powered swarm coordination
Install / Use
npx skills add spencermarx/open-code-review --skill github-code-reviewInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
SecuritySupported Platforms
Our assessment of github-code-review
github-code-review scores 88/100 on our quality scale, 601st of 1,130 Security skills we index.
Its SKILL.md is 25 KB long, well organised into 132 sections with 50 code examples: a thorough specification that gives an agent plenty to work with.
It has 368 GitHub stars, a meaningful sign that others use it.
Maintenance, license and trust
- The repository was last updated about 3 months ago, so github-code-review is actively maintained.
- It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
github-code-review compared with similar skills
All 4 of these similar skills score higher than github-code-review; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| github-code-review (this skill)by spencermarx | 88 | 368 | 3mo ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 101.0k | 2d ago | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 89.2k | today | MCP Server |
| algorithmic-artby anthropics | 100 | 177.9k | 30d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 30d ago | SKILL.md |
Frequently asked questions
- How do I install github-code-review?
- Run
npx skills add spencermarx/open-code-review --skill github-code-review. The install tabs above show the steps for each supported agent. - Which AI agents does github-code-review work with?
- It is written for Claude Code and Zed, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is github-code-review safe to use?
- It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is github-code-review still maintained?
- The repository was last updated about 3 months ago, so github-code-review is actively maintained.
Skill content
View source on GitHubname: github-code-review version: 1.0.0 description: Comprehensive GitHub code review with AI-powered swarm coordination category: github tags: [code-review, github, swarm, pr-management, automation] author: Claude Code Flow requires:
- github-cli
- ruv-swarm
- claude-flow capabilities:
- Multi-agent code review
- Automated PR management
- Security and performance analysis
- Swarm-based review orchestration
- Intelligent comment generation
- Quality gate enforcement
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
},
"performance-critical": {
"paths": ["**/api/**", "**/database/**", "**/cache/**"],
"agents": ["performance", "database"],
"benchmarks": true,
"regression-threshold": "5%"
},
"ui-changes": {
"paths": ["**/components/**", "**/styles/**", "**/pages/**"],
"agents": ["accessibility", "style", "i18n"],
"visual-tests": true,
"responsive-check": true
}
}
}
🤖 Automated Workflows
Auto-Review on PR Creation
# .github/workflows/auto-review.yml
name: Automated Code Review
on:
pull_request:
types: [opened, synchronize]
issue_comment:
types: [created]
jobs:
swarm-review:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
with:
fetch-depth: 0
- name: Setup GitHub CLI
run: echo "${{ secrets.GITHUB_TOKEN }}" | gh auth login --with-token
- name: Run Review Swarm
run: |
# Get PR context with gh CLI
PR_NUM=${{ github.event.pull_request.number }}
PR_DATA=$(gh pr view $PR_NUM --json files,title,body,labels)
PR_DIFF=$(gh pr diff $PR_NUM)
# Run swarm review
REVIEW_OUTPUT=$(npx ruv-swarm github review-all \
--pr $PR_NUM \
--pr-data "$PR_DATA" \
--diff "$PR_DIFF" \
--agents "security,performance,style,architecture")
# Post review results
echo "$REVIEW_OUTPUT" | gh pr review $PR_NUM --comment -F -
# Update
Truncated for display — read the full file on GitHub.
Related Skills
Agent-Reach
101.0kGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
Scrapling
89.2k🕷️ A Web Scraping framework that handles everything from a single request to a full-scale crawl! Don't be shy, join here: https://discord.gg/EMgGbDceNQ and follow here for daily tips and tricks: https://x.com/Scrapling_dev
algorithmic-art
177.9kCreating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems.
pptx
177.9kUse this skill any time a .pptx or .potx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx or .potx file (even if the extracted content will be used elsewhere, like in an em…
Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
