n-agentic-harnesses-codex

To design an AI agent harness, you define tool-use boundaries, session durability, and context assembly. This skill generates a lean target architecture, identifies operational risks, and provides a phased implementation plan for reliable production systems.

Evaluating agentic system architecture requires checking for gaps in permissions, memory handling, and observability. This skill reviews your existing workflows to define acceptance tests and operational guardrails before you ship AI features.

Structuring tool permissions and session state for multi-agent coordination requires explicit boundaries and memory management. This skill designs workflow runtimes that maintain durability and enforce operational guardrails across multiple agents.

Yes, you can use this to review an existing workflow runtime for missing observability features. The skill evaluates current systems to identify gaps in context assembly, memory handling, and session durability for production AI environments.

Major risks when planning a tool-calling workflow include inadequate session durability, poorly defined tool boundaries, and lack of observability. This skill identifies these risks and generates an evaluation strategy to ensure operational guardrails.