ArbiterOS
Runtime policy enforcement, tracing, and unsafe action interception
All Skills in This Repository (6)
Pure Emerald Level Indicatorsvercel-react-best-practices
Optimize React and Next.js application performance with bundle size and rendering guidelines.
vercel-composition-patterns
Apply React component composition patterns to reduce complexity and improve maintainability.
backend-dev-guidelines
Guide backend development practices for Next.js, tRPC, BullMQ, and TypeScript in Langfuse's monorepo.
add-model-price
Add and configure LLM model pricing entries in Langfuse with regex matching.
skill-developer
Create and manage Claude Code skills with YAML frontmatter and trigger patterns.
arbiteros-instruction-metadata-dsl-writer
Write and validate ArbiterOS instruction metadata YAML DSL files.
Frequently Asked Questions
FAQPage SchemaHow to install ArbiterOS?โผ
Run `npx skills add cure-lab/ArbiterOS --all -g -y` in your terminal to install all skills in this suite globally.
What does ArbiterOS do?โผ
It sits between your agent runtime and the model to enforce security policies, log authoritative traces, and intercept unsafe tool actions before they cause side effects.
Which agent runtimes work with ArbiterOS?โผ
It currently supports OpenClaw, Nanobot, and Hermes Agent, plus any runtime that can point to an OpenAI-compatible endpoint like the default http://127.0.0.1:4000/v1.
How do I add support for a new agent?โผ
Use the included DSL writer skill to create a YAML parser for the new agent's tools, validate it against the schema, run the generated tests, and register the agent name in the kernel config.
Can I visualize ArbiterOS traces and policy decisions?โผ
Yes. The repository bundles an optional Langfuse stack you can start with Docker to inspect traces, policy outcomes, and runtime logs in a web UI.
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