
Github Code Review
This deploys a coordinated swarm of specialized AI agents to review GitHub PRs, each focusing on a different domain like security vulnerabilities, performance bottlenecks, architectural patterns, or accessibility issues. Instead of running a single static analysis pass, you get parallel reviews from agents that can spot OWASP issues, suggest secure alternatives, analyze algorithm complexity, and enforce SOLID principles. The workflow integrates directly with GitHub CLI, so you can pipe PR data and diffs straight into the swarm and post results back as comments or review requests. The appeal here is coverage depth without manual coordination, though you'll want to tune which agents run based on your project's actual needs rather than throwing all five at every PR.
- GitHub stars
- 240
- last updated
- Jun 11, 2026
Install
$ npx -y skills add spencermarx/open-code-review --skill github-code-review --agent claude-codeInstalls into .claude/skills of the current project.
Files
GitHub Code Review Skill
AI-Powered Code Review: Deploy specialized review agents to perform comprehensive, intelligent code reviews that go beyond traditional static analysis.
π― 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 "π 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
π Table of Contents
Sponsors
Details
- Repository
- github.com/spencermarx/open-code-review
- Categories
- Git & Pull Requests, Code Review & Quality, AI & Agent Building
- License
- Apache-2.0
- First seen
- Jun 11, 2026
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