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vamseeachanta

github-code-review

by vamseeachanta

A centralized management system for multiple GitHub repositories with modular organization

1🍴 0📅 Jan 25, 2026

SKILL.md


name: github-code-review description: Deploy specialized AI agents to perform comprehensive, intelligent code reviews that go beyond traditional static analysis. Use for automated multi-agent review, security vulnerability analysis, performance bottleneck detection, and architecture pattern validation.

GitHub Code Review Skill

Overview

Deploy specialized AI agents for comprehensive code reviews. This skill provides multi-agent review capabilities covering security vulnerabilities, performance bottlenecks, architecture patterns, and code style enforcement.

Quick Start

# Get PR details for review
gh pr view 123 --json files,additions,deletions,title,body

# Get PR diff
gh pr diff 123

# Post review comment
gh pr review 123 --comment --body "Review findings..."

# Approve PR
gh pr review 123 --approve --body "LGTM!"

# Request changes
gh pr review 123 --request-changes --body "Please fix..."

When to Use

  • Automated code review for pull requests
  • Security vulnerability analysis
  • Performance bottleneck detection
  • Architecture pattern validation
  • Style and convention enforcement
  • Multi-agent collaborative review

Review Agents

Security Agent

CheckDescription
SQL injectionDetect SQL injection vulnerabilities
XSSCross-site scripting attack vectors
AuthenticationAuth bypasses and flaws
CryptographicWeak crypto implementations
SecretsExposed credentials or API keys
CORSMisconfiguration issues

Performance Agent

MetricDescription
Algorithm complexityBig-O analysis
Query efficiencyN+1 queries, slow queries
Memory patternsAllocation and leaks
Cache utilizationCaching opportunities
Bundle sizeImpact on bundle size

Style Agent

CheckDescription
Code formattingConsistent formatting
Naming conventionsVariable/function naming
DocumentationComment quality
Test coverageMissing tests
Error handlingProper error patterns

Architecture Agent

PatternDescription
SOLID principlesSingle responsibility, etc.
DRY violationsCode duplication
Coupling metricsComponent dependencies
Layer violationsArchitecture boundaries
Circular dependenciesDependency cycles

Usage Examples

1. Multi-Agent Review System

# Get PR details
PR_DATA=$(gh pr view 123 --json files,additions,deletions,title,body)
PR_DIFF=$(gh pr diff 123)

# Initialize swarm with PR context
npx ruv-swarm github review-init \
  --pr 123 \
  --pr-data "$PR_DATA" \
  --diff "$PR_DIFF" \
  --agents "security,performance,style,architecture" \
  --depth comprehensive

# Post initial review status
gh pr comment 123 --body "Multi-agent code review initiated"

2. Security-Focused Review

# Get changed files
CHANGED_FILES=$(gh pr view 123 --json files --jq '.files[].path')

# Run security 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 "$SECURITY_RESULTS" | grep -q "critical"; then
  gh pr review 123 --request-changes --body "$SECURITY_RESULTS"
  gh pr edit 123 --add-label "security-review-required"
else
  gh pr comment 123 --body "$SECURITY_RESULTS"
fi

3. Initialize Review Swarm

// Initialize code review swarm
mcp__claude-flow__swarm_init({ topology: "hierarchical", maxAgents: 5 })
mcp__claude-flow__agent_spawn({ type: "reviewer", name: "Security Reviewer" })
mcp__claude-flow__agent_spawn({ type: "reviewer", name: "Performance Reviewer" })
mcp__claude-flow__agent_spawn({ type: "reviewer", name: "Style Reviewer" })
mcp__claude-flow__agent_spawn({ type: "architect", name: "Architecture Reviewer" })

// Orchestrate parallel review
mcp__claude-flow__task_orchestrate({
    task: "Comprehensive code review covering security, performance, style, and architecture",
    strategy: "parallel",
    priority: "high"
})

4. Post Inline Comments

# Get diff with context
PR_DIFF=$(gh pr diff 123 --color never)
PR_FILES=$(gh pr view 123 --json files)

# Generate review comments
COMMENTS=$(npx ruv-swarm github review-comment \
  --pr 123 \
  --diff "$PR_DIFF" \
  --files "$PR_FILES" \
  --style "constructive" \
  --include-examples \
  --suggest-fixes)

# Post inline comments
echo "$COMMENTS" | jq -c '.[]' | while read -r comment; do
  FILE=$(echo "$comment" | jq -r '.path')
  LINE=$(echo "$comment" | jq -r '.line')
  BODY=$(echo "$comment" | jq -r '.body')

  gh api \
    --method POST \
    /repos/owner/repo/pulls/123/comments \
    -f path="$FILE" \
    -f line="$LINE" \
    -f body="$BODY" \
    -f commit_id="$(gh pr view 123 --json headRefOid -q .headRefOid)"
done

Review Configuration

# .github/review-swarm.yml
version: 1
review:
  auto-trigger: true
  required-agents:
    - security
    - performance
    - style
  optional-agents:
    - architecture
    - accessibility
    - i18n

  thresholds:
    security: block
    performance: warn
    style: suggest

  rules:
    security:
      - no-eval
      - no-hardcoded-secrets
      - proper-auth-checks
    performance:
      - no-n-plus-one
      - efficient-queries
      - proper-caching
    architecture:
      - max-coupling: 5
      - min-cohesion: 0.7
      - follow-patterns

MCP Tool Integration

Swarm Coordination

// Initialize review swarm
mcp__claude-flow__swarm_init({
    topology: "hierarchical",
    maxAgents: 5,
    strategy: "specialized"
})

// Spawn specialized reviewers
mcp__claude-flow__agents_spawn_parallel({
    agents: [
        { type: "reviewer", name: "security-agent", capabilities: ["security-audit"] },
        { type: "reviewer", name: "perf-agent", capabilities: ["performance-analysis"] },
        { type: "reviewer", name: "style-agent", capabilities: ["code-style"] }
    ]
})

Memory for Review State

// Store review findings
mcp__claude-flow__memory_usage({
    action: "store",
    key: "review/pr-123/findings",
    value: JSON.stringify({
        security: { issues: 2, severity: "medium" },
        performance: { issues: 1, severity: "low" },
        style: { issues: 5, severity: "info" }
    })
})

GitHub Actions Integration

# .github/workflows/auto-review.yml
name: Automated Code Review
on:
  pull_request:
    types: [opened, synchronize]

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: |
          PR_NUM=${{ github.event.pull_request.number }}
          PR_DATA=$(gh pr view $PR_NUM --json files,title,body,labels)

          REVIEW_OUTPUT=$(npx ruv-swarm github review-all \
            --pr $PR_NUM \
            --pr-data "$PR_DATA" \
            --agents "security,performance,style,architecture")

          echo "$REVIEW_OUTPUT" | gh pr review $PR_NUM --comment -F -

          if echo "$REVIEW_OUTPUT" | grep -q "approved"; then
            gh pr review $PR_NUM --approve
          elif echo "$REVIEW_OUTPUT" | grep -q "changes-requested"; then
            gh pr review $PR_NUM --request-changes -b "See review comments above"
          fi

Comment Templates

Security Issue

**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:


### Performance Issue

```markdown
**Performance Issue: [Type]**

**Impact**: [Expected performance degradation]

**Current**:
```language
[Current code]

Suggested:

[Optimized code]

## Best Practices

### 1. Review Configuration
- Define clear review criteria
- Set appropriate thresholds
- Configure agent specializations
- Establish override procedures

### 2. Comment Quality
- Provide actionable feedback
- Include code examples
- Reference documentation
- Maintain respectful tone

### 3. Performance
- Cache analysis results
- Incremental reviews for large PRs
- Parallel agent execution
- Smart comment batching

---

## Version History

- **1.0.0** (2025-01-02): Initial release - converted from code-review-swarm agent

Score

Total Score

50/100

Based on repository quality metrics

SKILL.md

SKILL.mdファイルが含まれている

+20
LICENSE

ライセンスが設定されている

0/10
説明文

100文字以上の説明がある

0/10
人気

GitHub Stars 100以上

0/15
最近の活動

3ヶ月以内に更新がある

0/10
フォーク

10回以上フォークされている

0/5
Issue管理

オープンIssueが50未満

+5
言語

プログラミング言語が設定されている

+5
タグ

1つ以上のタグが設定されている

0/5

Reviews

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Reviews coming soon