16 packages found
An open framework for scoring how well an MCP tool definition communicates to an AI agent – the Tool Definition Quality
The missing context layer for AI-assisted refactoring
ai-rules is a governance framework designed to solve "Architectural Decay" in AI-driven development. It forces AI Agents
MCP server that adds a fail-closed quality gate and hash-chained receipt ledger to any AI agent workflow.
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops
Lightning-native AI agent platform — pre-trade /review, pay-per-use reasoning, sandboxed execution, persistent memory, a
An MCP server that critiques Figma designs against your design system. Flags drift and wrong-component-for-the-job, citi
AI coding rules that actually work. Enforce instruction files via hooks — CLAUDE.md, .cursorrules, copilot-instructions,
Regal is a linter and language server for Rego, bringing your policy development experience to the next level!
Dingo: A Comprehensive AI Data, Model and Application Quality Evaluation Tool
Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency graphs, qua
MCP prompt template server: hot-reload, thinking frameworks, quality gates
AGENTS.md rules / skills for AI coding agents: Codex, Cursor & Claude Code. Inspired by Clean Code, Refactoring, DDD, Cl
Repo-native content governance for AI agents. Extract, review, and deliver UI text, docs, and structured content from Gi
An agentic law firm. Yours. 67 specialist AI agents that review documents through evidence-backed debate, with mandatory
Data freshness verification for AI agents. Probes endpoints for cache staleness, latency, TLS health, and content change