The smoke's exact metric-set checks (SQLite store and export packages) were
never updated for v5: every attended CLI turn now also emits task_cost,
tool_output_truncation, tool_overhead and tool_enabled_unused, and the skill
lifecycle step latches feature_adoption(skills_created). A correct run failed
with "Unexpected SQLite counters", so the documented live gate could no
longer catch a real regression. Both sets now include the five metrics and a
shared _validate_v5_rows asserts their dims in the store and the packages
(task_cost provider/model `custom` for the canary model, api_calls 2,
tool_calls 1; read_file truncation; file toolset used; tool_overhead on cli).
Live smoke (loopback fake OpenAI server, no model spend):
before: rc=1 AssertionError: Unexpected SQLite counters
after: rc=0 "Hermes -> NeMo Relay shared-metrics smoke test passed"
Sabotage: expecting the canary model id in task_cost is caught.
d6e4e33d7d