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Use this workflow for a new skill or a revision. The baseline must represent the question honestly: a correct absent baseline for a new skill, or the committed skill for a revision.

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What happens

Your agent should inspect the baseline before launch rather than assuming that a missing-looking file means absence, and state expected time and spend. It keeps the task slice and behavior contract matched, then uses the skill_workbench dimensions: skill_routing, skill_actionability, skill_specificity, skill_command_exactness, skill_tool_selection, and skill_regression_risk. A skill revision is not proven by tests alone. Coverage, replay validity, and the correct baseline determine whether the result can support keeping the change or only inspecting it.

What a good answer sounds like

The report should name the baseline actually used, the candidate skill, how many tasks counted, each skill_workbench dimension’s result, and any regressions — every value from the actual Trial Result. Ask: “Was the baseline truly absent or committed?” “Which dimensions regressed?” “Is coverage complete enough for this routing action?”