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
AI-native chaos engineering orchestrator for Kubernetes — autonomous planning loop, DPv2-compatible engines (NetworkPolicy + Envoy fault injection), and MCP tools for arena/SUT/baseline.
GoApache-2.0★ 2Few starsNo key
Agent Skill: chaos engineering on a diff. Disprove a ticket's steady-state invariants after green tests.
SkillMITFew starsNo key
Chaos engineering for MCP agents: a stdio proxy that injects timeouts, errors, malformed JSON, schema drift and stale results, plus a benchmark that measures how agents recover.
PythonMITFew 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
Multi-tenant chaos-engineering / API-resilience control plane, demonstrating fault injection, optimistic concurrency, Kafka-driven execution, and distributed-systems resilience. Java 21, Spring Boot 4
SkillMITFew starsNo key
Test the protocols your show, installation or IoT gear speaks: send, capture, emulate and impair OSC, UDP/TCP, HTTP, WebSocket and MQTT — by hand, as repeatable experiments and load tests, or from the
SkillMIT★ 14No 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
107 production-grade QA engineering skills for AI agents — frontend, API, performance, mobile, security, CI, and AI/LLM testing. MCP-ready: works with Claude Code, Claude Desktop, Cursor, Zed, Windsur
SkillMIT★ 5No key
Verification-first AI-assisted development harness. 5 layers from spec to pentest.
SkillMIT★ 10No key
A collection of skills for AI programming assistants, based on software engineering principles and best practices.
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
Deterministic fault injection and autonomous resilience tests for DeepSeek Harness tools
SkillMIT★ 4Few starsNo key
Test how MCP clients handle failures and recover. Run repeatable scenarios against built-in faults or external MCP servers.
Node.jsMIT★ 4Few starsNo key
Read-only MCP tools and reproducible scenarios for Kubernetes root-cause analysis
PythonApache-2.0★ 1Few starsNo 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
OpenAPI spec in, chaos test harness out: WireMock stubs, contract tests and failure scenarios from a team of local LLM agents.
PythonMIT★ 2Few starsNo key
Fault injection and reliability scoring for MCP servers
PythonApache-2.0★ 1Few starsNo key
ClaudeOps hAIveMind - Distributed AI collective memory MCP server for DevOps automation and multi-agent coordination
PythonMIT★ 7No 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
An AI Agent Platform for R&D efficiency and SRE troubleshooting. Built with FastAPI and LangGraph, featuring stateful orchestration, tool calling, and observability.
SkillMIT★ 1Few starsNo key
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