— · no license
GitHub Actions bot that automatically reviews pull requests using the Claude API, posting inline comments and a summary on every PR.
— · no license
A set of Claude Code and GitHub Copilot plugins providing the AI Literacy framework's complete development workflow — harness engineering, agent orchestration, literate programming, CUPID code review, and the three enforcement loops
v0.2.2 · MIT
Multi-model AI code review server using OpenRouter - get diverse perspectives from multiple LLMs in parallel
v1.1.2 · MIT
Image generation (gpt-image-2) and GPT-5 subagents for Claude Code — through the Codex CLI login you already have. No OpenAI API key.
v0.1.0 · MIT
Multi-agent codebase review for PRs, CI, and downstream fork syncs.
v0.8.1 · MIT
Comprehensive multi-agent code review for Claude Code
v1.15.1 · MIT
Quality gate for AI/Codex-generated pull requests: blocks TODO leftovers, leaked secrets, sloppy commits and red CI before they reach main.
v14.0.0 · Apache-2.0
Local codebase intelligence CLI + MCP server for AI coding agents: SQLite code graph, 28 languages, 285 commands, 244 MCP tools, change-safety gates, audit evidence, zero API keys.
v1.2.0 · MIT
SE-CoVe: Software Engineering Chain-of-Verification plugin for Claude Code
— · MIT
Development workflows for Claude Code that keep broad exploration focused on the outcome you approved.
v3.0.0 · Apache-2.0
Senior-developer discipline for AI coding agents. A commit gate that counts unchecked as failing, quality controllers that refuse to call unfinished work done, and a lessons loop that closes each escaped bug's class. One Go binary, no runtime deps, works with 20+ agents.
v1.5.1 · MIT
A collection of skills for Rails development and consulting with an emphasis on learning, communication, and client success.
v1.5.0 · MIT
AI code reviews grounded in 12 classic engineering books — decay risk diagnostics with book citations, severity labels, and 6 analysis modes including full-sweep auto-fix
— · MIT
Repeatable agentic engineering. The workflow layer that turns AI coding agents into a disciplined factory: durable specs, fresh-context workers, adversarial cross-model reviews, receipts. Everything in your repo, zero dependencies. Claude Code · Codex · Cursor · Droid.
— · Apache-2.0
AI-powered multi-agent code review. Simulates a customizable team of Engineers performing code review with built-in discourse.
v0.15.0 · MIT
Open-source Agent Skills for Claude Code and Codex: ship-DAG orchestration, A-F code review, AI evals, CI gates, design, copy, SEO/AEO/GEO, Instagram growth, app shipping, creator rights, and consumer recovery.
v2.13.2 · MIT
"ULTRASHIP" Claude Code plugin — 39 skills, 33 tools, 11 agents for ship-ready workflows: planning, review, pentesting, safety guardrails, canary monitoring, SEO/AI-readiness check, penetration testing, code review, competitive analysis, incident response. 1 dependency. 180 tests. MIT.
— · Apache-2.0
Agent Skills marketplace: framework-aware skills for code review, documentation, test-plan generation, AI-writing detection, architectural analysis, and git workflows — for Python, Go, Rust, Elixir, React, Remix, and iOS/Swift. Works with Claude Code, Codex, and any agent that supports Agent Skills.
v1.5.0 · MIT
AI code reviews grounded in 12 classic engineering books — decay risk diagnostics with book citations, severity labels, and 6 analysis modes including full-sweep auto-fix
v0.3.18 · Apache-2.0
:star: AI-assisted development workflow that produces understanding alongside code. Teach, capture decisions, document, assemble reviews.
— · MIT
AI-powered development tools. 19 agents, 22 commands, 32 skills, 1 hook, 1 MCP server for code review, research, design, and workflow automation.
— · Apache-2.0
Run AI coding agents unattended for hours and ship PRs worth merging. Cybernetics-based multi-agent orchestration + cross-LLM peer review for Claude Code, Codex, and Gemini. Engine-enforced gates, fresh agent per checkpoint, cross-vendor review before every PR.
v1.6.0 · MIT
Claude Code skill that delegates implementation to GPT-5.6 Sol via Codex CLI, Claude plans and reviews the diff, Sol writes the code. Multi-model AI coding where the model that wrote the diff never grades it.
v0.10.1 · MIT
A safety gate for DeepSeek Harness: a stronger model reviews dangerous tool calls before they run. Plus vision and BlockRun's full model catalog from one wallet, paid per request over x402.