MCP servers and skills: search, filter by where they run, and compare.
🤖 Aurora QA — AI-powered autonomous quality engineering platform. Multi-agent pipelines, self-healing tests, chaos engineering, MCP server & real-time dashboard.
SkillMIT★ 1Few starsNo key
AI-powered security scanner & chaos engineering platform. Multi-tier vulnerability detection, RAG-powered code analysis, auto-fix generation, and chaos simulation — all running locally with Ollama.
SkillMIT★ 1Few starsNo key
Fault injection toolkit for agent systems. Inject latency spikes, partial failures, 429s, malformed tool outputs, and stale context between agents and their tools. Scenario-driven. Prove your circuit
SkillMIT★ 2Few starsNo key
Chaos engineering for AI agents — a fault-injecting MCP proxy. Zero code: point your agent's MCP config at the proxy and break things on purpose, before production does.
PythonApache-2.0Few starsNo key
Injects realistic failures into AI agents — broken connectors, expired auth, prompt injection, schema drift, truncated payloads — and judges from tool-boundary evidence whether the agent reported the
SkillMIT★ 1Few starsNo key
Standardized Claude Code bootstrap — drop-in .claude/ tree with a 19-agent adversarial review team, Ralph Loop, dev-flow skills, and an init script. Agnostic, project-ready.
SkillMIT★ 6No key
Prove your AI agent fails safely. Fault injection for LLM, RAG, and tool-call failures: declare what must never happen, find the silent failures, and keep the proof on every pull request.
SkillApache-2.0★ 3Few starsNo key
Property-based reliability testing for tool-using AI agents under partial failures.
PythonApache-2.0★ 1Few starsNo key
Chaos testing for AI agents. Break the MCP tools your agent depends on, score how it copes, fix what broke. Claude Code plugin + GitHub Action.
GoMITFew starsNo key
Fault injection and reliability scoring for MCP servers
PythonApache-2.0★ 1Few starsNo key
Load and chaos testing for AI agent orchestration plumbing: adversarial mock model endpoint + mock MCP tool fabric, knee detection with CIs, honest confidence labels.
PythonApache-2.0★ 1Few starsNo key
HTTP and HTTPS fault-injection proxy for development and testing: see every outbound call your app makes, then slow it down, fail it or cut it off on purpose
GoMIT★ 1Few starsNo key
Agent Skill for chaos-TDD on LLM agent pipelines: deterministic fault injection at seams that already exist, where the fault-injection test is written first as the specification and the guard ships in
SkillMITFew starsNo key
A local test harness for AI agent systems. Compare the same work before and after a change.
SkillApache-2.0Few starsNo key
Code architecture analysis + distributed system simulation. 8 languages, 15+ frameworks, ConstellationGraph, queueing theory simulator.
SkillMIT★ 1Few starsNo key
A production-grade AIOps framework focused on model integrity and autonomous reliability. Features a LightGBM-driven multiclass inference engine via FastMCP, validated against data leakage through NMI
SkillMIT★ 2Few starsNo key
AI-powered data center health check dashboard with FastAPI, React, Docker, and MCP-based incident triage for log analysis, Jira bug creation, and Slack notifications
SkillMITFew starsNo key
A practical, opinionated Claude Code workflow: a task-rubric loop that makes AI-written code trustworthy, a lean CLAUDE.md pattern, and a lab for versioning your own setup
SkillMIT★ 8No key
Multi-agent coordination kit for Claude Code, Codex, Cursor & Gemini CLI: parallel AI agents with claims, leases, bounded loops, reviews and merges over Git.
SkillMIT★ 9No key
Suit up. Build anything. A drop-in engineering organization for Claude Code — deep idea interrogation, TDD sprints, enforced quality gates. 43 skills · 8 agents · 13 hooks.
SkillMIT★ 8No key
Cadre team development kit for Claude Code - quality gates, security hooks, workflow commands, skills & agents
SkillMIT★ 9No key
TAS: Tracking, Automation, and Skills - An operational harness for Claude Code. Session tracking, token budgeting, slash-command skills, and maintenance cadence.
SkillMIT★ 7No key
Harness Engineering for AI coding agents: a spec-driven 4-stage pipeline, fail-closed proof gates, design-truth layer & production-ready Next.js 15 starter.
SkillMIT★ 1Few starsNo key
Color engineering Skill for humans and AI agents: palette generation, OKLCH, WCAG/APCA contrast, design systems, gradients, colormaps, and MCP tools.
SkillMIT★ 1Few starsNo key
Who stands behind it
