AI Cost Tools for Engineers — Cromus
Cromus gives AI engineers portable, platform-agnostic workflow specifications via the SKILL.md open standard. Instead of being locked into a single orchestration framework, engineers can define workflows once and export to LangGraph, CrewAI, AutoGen, n8n, and other platforms.
Key tools for engineers: The SKILL.md open standard for structured workflow specs, free ETHOS.md, SKILL.md, and MEMORY.md validators, a Skill Studio for analyzing and refining workflows, a verified model registry across 7 providers (OpenAI, Anthropic, Google, Meta, xAI, DeepSeek, Mistral) updated weekly, and export capabilities for multiple framework ecosystems.
Engineering benefits: Portable workflows that aren't locked to one framework, cost simulation before committing API budget, Croms-based structural analysis of workflow graphs, version history for workflow evolution tracking, and a Reality Check Loop for comparing predicted vs. actual execution costs.