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 13 providers (OpenAI, Anthropic, Google, xAI, DeepSeek, Mistral, Meta, Cohere, Amazon, Microsoft, Qwen, Z.ai, and Kimi) 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.