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Marc-André Bombeck
a69697b50f
Grip strength, pain (0–10 NRS), waist circumference, and waist-to-height existed in the measurement enum, signal registry, and FHIR export but had no web entry, no detail page, single non-sex-aware bands, and a split-brain MCP exposure. This closes those gaps. Web capture: the four signals join the manual measurement form, so a web-only self-hoster can log them (the iOS client and the measurements API already could). Detail pages: flip detailPage on for the four signals and mount each on the shared HealthKit metric template (chart, stat strip, Coach-read strip, assessment card) via routed sub-pages and tab-strip pills, the same detail spine every other metric carries. Sex-aware bands: grip strength (EWGSOP2 men 27 / women 16 kg) and waist (WHO men 94 / women 80 cm) now classify by the profile sex through the age/sex norm resolver the assessment already threads; the resolver also returns a sex-specific, age-independent band when no date of birth is set. Fix the waist-to-height boundary so the NICE >= 0.5 rule is correct (the last in-range value is 0.49). MCP single source of truth: decouple the registry mcp facet from the Coach snapshot — a signal can be MCP-readable without being on the Coach surface. Mark the four physical signals mcp:true, derive the MCP rich-reads clinical set from the registry flag instead of a duplicate allowlist, and relax the invariant to coachSnapshot implies mcp (not the reverse). PHQ-9 / GAD-7 and the environmental signals stay mcp:false and unreachable. compare_metric and detect_changepoints now advertise clinical-signal support to match get_metric_baseline.