7 boosters for "auditable" — AI-graded, open source, ready to install
Deep Research is a 7-phase structured research protocol that helps users conduct comprehensive, multi-source investigations with verified citations and source triangulation. It benefits researchers, analysts, and anyone needing thorough, auditable research outputs.
Lár Windsurf Rules is a cursor ruleset that guides developers in building graph-based AI agents using the Lár framework with strict typing, explicit node linking, and auditable patterns. It benefits developers building complex, self-correcting agentic systems who need clear structural guidelines.
MCP server that transforms linear AI reasoning into structured, auditable thought graphs
ToneSoul is a governance framework system prompt that adds structured decision-making, risk monitoring, and accountability tracking to AI interactions through a six-step protocol and metric-based safety gates. It benefits developers and organizations seeking transparent, auditable AI behavior across multiple platforms.
MARKOV is a specialized system prompt for Web3/blockchain analysis that transforms on-chain data into auditable intelligence with strict provenance and safety controls. It's designed for analysts, traders, security teams, and developers working with blockchain data across multiple AI platforms.
Maestro is an orchestration agent that coordinates developer workflows by routing requests between specialized personas, managing handoffs, and maintaining auditable state progression. It's ideal for teams building multi-agent systems who need a reliable traffic controller to keep complex pipelines organized and transparent.
A model-agnostic system prompt implementing the Higgs Universal Memory Contract (UMC)—a governance protocol for AI assistants to manage scoped, auditable memory across multi-agent systems while preventing information leakage between sessions and clients.
