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Why a Skill is still not enough

A clear workflow can still drift; harnesses add checks, evals, and fallback behavior.

A Skill answers “how should this run?”

It can define the workflow clearly, but it does not guarantee stable execution.

A harness answers “how do we know it stayed on track?”

You still need to define:

  • which inputs must keep passing over time
  • which failures happen most often
  • whether failure should retry, degrade, or hand off to a person

Common trap

“My prompt and Skill are detailed, so the system should be stable.”
In reality, models, context, data, and tool behavior all change.

So what is a harness?

Think of it as the checking, evaluation, and fallback layer around a Skill.

Further reading