get_forecast_skill_map

shallow

io.github.smarterweather/weather · Verify this server

Measured forecast skill as a map of res-4 hexes inside a bounding box, sliced from the public skill map. Use this when the question is spatial ("where is NBM temperature skill weak across Colorado"), not "how good is the forecast at this point" — that is get_forecast_skill. Requires model, variable, lead_hours, and bbox {west,south,east,north}. lead_hours selects the containing published bucket (20 → NBM 24); a lead we have not published returns no slices rather than a nearby one. A hex is included when its center is inside the box; edge-overlapping hexes are dropped. The box cannot wrap the dateline. Each cell is [h3, samples, skill_score]; skill_score is unitless (fraction of climatological variance explained) and already gated at n ≥ 30. withheld lists hexes still accumulating. Do not compare slices across models or truths. This is CELL# only — never treat a hex as a person.

100.0/100

1 trials · measured 27 days ago

get_forecast_skill_map scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.smarterweather/weather, measured 11 Sept 2026 under methodology v0.2.0. Every measured component scored 100.

Component breakdown

ComponentWeightValue
Reliability35%not applicable
Schema integrity25%100.0
Failure behaviour15%not applicable
Latency15%not applicable
Concurrency10%not applicable

Tool details

Transport
remote + stdio
Credential class
self-provisionable
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-09-11100.0shallowv0.2.0

Probe evidence

ProbeOutcomes
schema_integritypass: 1

Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.

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Vouch score: get_forecast_skill_map
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get_forecast_skill_map — Vouch