agent-harness
Agent harness — what the agent is told, and how to audit what someone else told theirs
agent-orchestrator wires the loop. agent-evals proves it behaves. agent-interop gets
it talking to other processes. This skill is the layer between them and the model: the
prompt, the tools, and the choice of technique. The outside term for this ground is
harness engineering — OpenAI's article of that name (openai.com/index/harness-engineering,
read 2026-08-30) and Anthropic's harness-design guidance
(anthropic.com/engineering/harness-design-long-running-apps, read 2026-08-30) both name
this same layer, and its leverage is measured: on ARC-AGI-3, harness-level changes alone
moved a fixed model from 13.3% to 38.3% while spending a sixth of the tokens (as reported
2026-08-30).
It runs in both directions. Building one and auditing one are the same checklist read forwards and backwards, which is why they live together here.