Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows.
🚀 PR Agent: The Original Open-Source PR Reviewer. This project is not the Qodo free tier.
DeepAudit:人人拥有的 AI 黑客战队,让漏洞挖掘触手可及。小白一键部署运行,自主协作审计 + 自动化沙箱 PoC 验证。支持 Ollama 私有部署 ,一键生成报告。支持中转站。让安全不再昂贵,让审计不再复杂。
A modular, stack-agnostic toolkit for AI coding agents to autonomously find, reproduce, and patch vulnerabilities.
An extensible and friendly code review tool for projects and companies of all sizes.
Agent skills and an AGENTS.md workflow template — isolate in worktrees, build to a service layer, prove with evidence, ship with before/after proof and Greptile review loops. For Claude Code, Cursor, and Codex.
APKHunt is a comprehensive static code analysis tool for Android apps that is based on the OWASP MASVS framework. Although APKHunt is intended primarily for mobile app developers and security testers, it can be used by anyone to identify and address potential security vulnerabilities in their code.
Open source local-first PR scanner that finds dead code, security bugs, secrets, quality regressions, and AI-code mistakes before merge. For first timers refer to https://duriantaco.github.io/skylos/repo-map/
Faster than your agent alone. And better. A workflow plugin that takes a bug, idea or ticket to a verified pull request: specs, cross-model review by risk, live QA, receipts in your repo. Claude Code · Codex · Cursor · Droid · Grok Build · OpenCode · Muse Code.
Evidence-grounded repository audit CLI - deterministic scanner, MCP server, live dashboard, and a GitHub Action that posts PR diffs.
🚀 AI-powered code review tool for GitHub, GitLab, Bitbucket Cloud, Bitbucket Server, Azure DevOps and Gitea — built with LLMs like OpenAI, Claude, Gemini, Ollama, Bedrock, OpenRouter and Azure OpenAI
Claude Code plugin for Elixir/Phoenix/LiveView — 26 specialist agents, Iron Laws enforcement, and Tidewave MCP integration. Plan features with parallel research agents, execute with automatic verification, review with 4-agent parallel audits, and capture learnings as reusable knowledge.
54 rigorous skills for Codex, OpenCode, and Pi: code review, security audit, feature development, frontend design, MCP tools, Hugging Face ML/training, and more.
CLI-first orchestration for AI coding agents: run selected agents and models in parallel, compare raw answers, and coordinate review or implementation workflows.
Local codebase intelligence CLI + MCP server for AI coding agents: SQLite code graph, 28 languages, 287 commands, 246 MCP tools, change-safety gates, audit evidence, zero API keys.
From ticket to reviewed pull request. Free and open-source, on your machine.
Coordinate Claude, Codex and Cursor windows with shared tasks, acknowledgements, prechecks, parallel tests, source-bound proofs and independent review. Built-in skills recall lessons, simplify code and forecast work. Track progress, decisions and evidence in a bilingual local dashboard, with MCP plugins. Browse skills and verified security audits.
Local-first, auditable multi-agent control room for coding, review, evidence, and private remote work.
codexqa: 11 local-first Agent Skills for Cursor, Claude Code, Codex & OpenClaw — change impact analysis, AI code review, defect scan, testcase generation, browser replay & RCA.
Claim-Driven Development: turn software intent into verifiable evidence.
带 AI 精读大型开源仓库的方法论:四阶段流程、可复用模板、28 条踩坑清单,核心是让每个技术论断都可回溯到源码具体行
Agent Skill for complex work: research before asking, ask before planning, plan before building, verify before delivering, independent review before calling it done. Plain text, no runtime.
AI-Powered Code Review and Quality Analysis Tool
Code Reviewer
Production-grade Agent Skills for AI coding agents—composable workflows for planning, TDD, debugging, review, UI/UX, releases, incidents, and evals.
Turn a security or performance exposure into a reviewable decision
Verifiable multi-agent patch evaluation infrastructure
Evidence-based code review skills for Codex and Claude Code
Code review via the change impact measure
AI-native SDLC skills for Claude Code: requirement intake & audit, adversarial review gate, AI test orchestration, decision re-check, release config audit
Repository retrieval and context engine for Claude Code and Codex: finds relevant code, reuses project knowledge, and pairs each task with specialist skills and verification.
One self-contained AGENTS.md with shared rules for AI coding agents: Claude Code, OpenAI Codex, Gemini, Cursor Agent, and more.
Tools for AI agents to test, fix and optimise your codebase
AI code review with DeepSeek: headless PR review automation that verifies PR descriptions claim-by-claim against real code, checks docs against reality, flags requirement impact, human-in-the-loop + auto review poller + web dashboard
Argolink-focused review automation with a coding model for Claude Opus 5.
A /human-review skill for Claude Code: assembles one page that lets a human review a change set fast — diagram deltas, Code City, a feature video, complexity delta, and deep-linked snippets.
Claude Code production-readiness audit plugin with 8 specialist lenses in 3 waves for security, reliability, tests, DevOps, live-app QA, and launch blockers.
RDV AIR – ИИ-агент для двухэтапного ревью кода 1С с ролями аудитора и критика, MCP и запуском из Jira
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.
Quiet, risk-scaled engineering methods for Codex. Method as exponent, not machinery.