Add a typed, hand-curated registry mapping metrics to guideline
interpretation bands derived strictly from the health knowledge base —
band edges, plain labels, valence, direction-of-good, and a source tag,
each entry citing the KB file + section it came from. A metric the KB
gives no numeric band for gets no entry, so its assessment stays
personal-relative rather than inventing a threshold.
The band position is computed server-side (`classifyBandPosition`, strict
upper-edge semantics + edge-hugging proximity), and `buildInterpretationBlock`
renders the table + placement into the assessment prompt so the model states
where a value sits and what the band means instead of reciting counts.
`interpretationBandEdges` exposes the edges for any numeric grounding gate.
Covers visceral fat, resting heart rate, blood oxygen, respiratory rate,
body temperature, sleep duration, waist (sex-split), waist-to-height,
pulse-wave velocity, and BMI. Tests pin every band edge against the
guideline value so a silent edit breaks a test.
Marc-André Bombeck