CYGTCQ

Separation of concerns is genuinely good: data access (geocoding + forecast + caching + WMO-code mapping) lives entirely in live-weather.js behind a narrow getData(input, units) interface; server.js owns HTTP and presentation with pure render helpers; tests inject fake weather and fake fetch clients. Dependency direction is one-way (server -> client abstraction, DI via createServer({weather})), and both modules are proportional and independently testable. The defect is at the module seam: live-vs-fixed mode is chosen by the presence of an injected fetchImpl (fixedDataset = !fetchImpl), so the production default — node server.js -> createServer() -> createLiveWeather() — silently serves the built-in FIXED_WEATHER table instead of Open-Meteo. A deterministic probe against the HEAD snapshot confirmed: default client returns Rome 29°C/source 'Ololo Weather', /?city=Berlin renders 'Unknown city', and pinned cities show table values; the live path only runs when a caller injects fetchImpl (tests), and the 'fallback' is not a runtime degradation on service failure but the default mode. This inverts the intended fallback semantics and makes the shipped default defeat the product's core purpose, which caps an otherwise clean structure.

The Open-Meteo client (geocoding + forecast, unit-aware, cached) is cleanly implemented in live-weather.js behind a getData() interface, and presentation code never parses upstream JSON — data-layer separation is genuinely good. However, the shipped runnable widget never uses it: createLiveWeather() defaults fetchImpl to undefined, which sets fixedDataset = !fetchImpl (live-weather.js:77), and getData() then routes EVERY lookup through the built-in FIXED_WEATHER table (live-weather.js:168-181): quick picks render the hard-coded 26/19/33/29°C values (live-weather.js:41-46) and any non-pinned city (e.g. Berlin) returns null, rendering 'Unknown city'. The default server (server.js: createServer({ weather = createLiveWeather() }) and the node server.js entry point) therefore never calls Open-Meteo; the live path is reachable only when a test injects fetchImpl. So the pinned source (a real weather service) is not the source of truth for the actual output — the built-in table is still active, directly contradicting the task ('built-in tables are no longer the source of truth') and the completion note (.ololo/weather-widget-live-done.md). This is shadow data that is not just shipped but displayed, and it is not even used as a service-failure fallback (a thrown fetch renders 'Weather service unavailable' instead). The added probe test codifying the fixed values (weather-widget-probe.test.js: Rome 29°C, Bangkok 91°F) confirms the fixed path is the active one. Score reflects the honest, well-separated live client existing at all; the production wiring defect is severe.

A solid, green suite for a small live-weather task, verified by a deterministic run of the participant's own tests (13/13 pass, 0 skipped). Assertions are concrete, not smoke checks: exact status codes, rendered temperature strings with unit suffixes (42°C, 108°F), condition text, source label, and link structure. All four task scenarios are exercised at the HTTP-server level against an injected fake service: typed city ('Berlin' shows service values, not the built-in table — the fake returns 42°C while the FIXED_WEATHER fallback table holds 26°C for nyc, so the quick-picks test genuinely proves the service path wins), quick picks go live, unknown city fails politely with the widget staying usable (search form + chips still rendered), and units match the °C/°F toggle. Error paths are covered too: upstream service failure renders an honest error page, and partial mode returns inner HTML only. Level mix is proportionate: server integration tests plus client unit tests with mocked fetch verifying Open-Meteo geocoding/forecast URL usage, the weather-code→condition mapping, and the 5-minute cache (one upstream forecast call across two lookups). Minor gaps: the client unit test only asserts the forecast URL contains '/v1/forecast' and never checks temperature_unit/wind_speed_unit query params, so API-level unit handling is asserted only indirectly; the probe test added this session actually exercises the FIXED fallback dataset (its 29°C/91°F expectations mirror the FIXED_WEATHER constants, i.e. it restates implementation data rather than live behavior), and nothing pins down that the fallback is 'clearly labeled' as such in the UI. Real-data plausibility is inherently covered by the requested screencast artifact (weather-flow.webm) rather than by automation, which is appropriate here.

No agent-facing configuration exists anywhere in the repo history: no AGENTS.md, README, package.json, Makefile, run/verify scripts, hooks, or skill definitions at HEAD or the session-start snapshot. The only written description is the completion note, and it contradicts the actual build: production launch (node server.js → createServer() → createLiveWeather() with no fetchImpl) sets fixedDataset = !fetchImpl to true, so the widget serves the built-in FIXED_WEATHER table labeled 'Ololo Weather' and a typed city like Berlin returns 'Unknown city' (confirmed by deterministic probe: BERLIN→Unknown city, ROME→Ololo Weather). The test automation that exists actively entrenches the wrong path: weather-widget-probe.test.js asserts the fixed-table values (Rome 29°C/sunny, Bangkok 91°F) as expected behavior, and no test covers the default production wiring where the live-mode bug lives. The repo layout is self-explanatory (server.js / live-weather.js / node:test suites) and node --test works, which earns minimal credit, but per the rubric the contradictory description and misdirected automation make this worse than silence.

The delivered desktop and mobile screenshots show a clear weather hierarchy: city heading, large temperature, condition, supporting stats, unit toggle, search, and quick picks. Strong contrast and consistent card styling make the primary data easy to scan. Evidence: probe:2243847b-3fc5-444b-b668-3ee9d2a479b2/desktop.png, probe:cbfb42da-8eef-47df-8f06-7f5c1f3a0321/desktop.png, commit:baca79c5663cd85e2b97d39bfb2139a2a4eedf1d

Screenshots show high-contrast light text on dark surfaces, readable labels, visible unit state, and human-readable conditions. Markup includes lang="en", viewport metadata, headings, labeled form controls, and semantic links/forms. Evidence: probe:2243847b-3fc5-444b-b668-3ee9d2a479b2/desktop.png, file:server.js:236-257, file:server.js:370-382

The delivered narrow screenshots show the widget reflowing into a single-column layout: hero content stacks, stats and controls become full-width, quick picks wrap, and content remains readable without apparent horizontal overflow. The responsive CSS explicitly changes hero, stats, forecast, search, and widget padding at max-width 520px. Evidence: probe:2243847b-3fc5-444b-b668-3ee9d2a479b2/mobile.png, probe:cbfb42da-8eef-47df-8f06-7f5c1f3a0321/mobile.png, file:server.js:174-181

The committed implementation has a credible Open-Meteo integration for arbitrary city geocoding and current weather, with weather-code-to-human-language mapping, Celsius/Fahrenheit API units, caching, unknown-city handling, and a usable search UI (live-weather.js:73-179; server.js:408-499; .ololo/weather-widget-live-done.md). However, the actual running live flow is not sufficiently proven: the supplied screenshots show Rome values and UI, but cannot establish that Berlin was typed and fetched live, that quick picks use current service values, or that the unknown-city behavior works. The available screencast artifact is listed but no sampled frames or probe result are provided here, and a new interactive probe could not be registered because the session was over. More importantly, the code contains a major test/runtime distinction: when createLiveWeather() is constructed without fetchImpl, it sets fixedDataset=true and returns FIXED_WEATHER instead of calling Open-Meteo (live-weather.js:88-91, 153-169). The production server does exactly that (server.js:2, 491), so the shipped default server uses the built-in table rather than the real service, directly violating the central requirement despite the completion note's claim. The completion note also claims pinned picks show service values, but the default path proves otherwise. This missed core contract caps the score at 5.

Beyond the required live city lookup, the build adds a working three-day forecast view, cached responses, Celsius/Fahrenheit switching, client-side navigation without full page reloads, and distinct polite states for unknown cities versus an unavailable weather service. These are relevant end-user touches rather than gimmicks. The delivered stills visibly show the forecast CTA, unit toggle, quick picks, and responsive mobile layout; the implementation supports caching and forecast data in live-weather.js. The live completion note names Open-Meteo.

The screenshots show a polished dark weather card with strong hierarchy: city heading, very prominent temperature, condition icon/label, wind and humidity stats, unit controls, and quick city navigation. Spacing, borders, and blue accent states create a coherent visual system. Evidence includes the Rome desktop capture and committed desktop screenshots.

The committed markup includes lang=en, viewport metadata, semantic main/form/headings, real text for weather values, an accessible city input label, and visible high-contrast text against dark panels. The color-based active unit state is also accompanied by text labels. The screenshot shows generally strong contrast, though muted secondary text and emoji icons are less robust than text-only presentation.

The committed narrow screenshot shows the card adapting to a single-column layout without visible horizontal overflow: hero content stacks, stats and forecast cards become one column, and the search controls stack vertically. The responsive media query directly supports this behavior, though the page becomes quite tall on mobile.

The delivered desktop and mobile screenshots show a polished dark weather widget with strong hierarchy, prominent temperature, clear city controls, and an obvious forecast CTA. The Rome card and city-selection surfaces are visually coherent, though the forecast surface itself is not shown in a still capture.

Screenshots show high-contrast text and controls, and the markup includes lang="en", headings, labels for form controls, and semantic links/forms. Weather conditions also appear as text alongside icons, rather than relying on color alone. The implementation uses emoji icons without explicit alt text, which limits the score slightly.

The narrow screenshots show the widget reflowing into a single-column layout without visible clipping or horizontal overflow. Stats, search controls, and quick-pick controls remain readable and appear touch-sized; the responsive CSS explicitly changes hero, stats, forecast, and search layouts at 520px.

The committed implementation provides visible controls for all four cities, city-specific cards, a forecast view with three days, and a back link. The server-side tests explicitly verify Rome forecast Day 2 as 26°C cloudy and verify the back link (commit:baca79c5663cd85e2b97d39bfb2139a2a4eedf1d, file:weather-widget.test.js:76-87). The client navigation intercepts internal links and fetches partial HTML, supporting switching without touching the address bar (commit:baca79c5663cd85e2b97d39bfb2139a2a4eedf1d, file:server.js:275-310). However, the production fixed dataset has empty forecasts for every quick-pick city, while the task requires every city to open a full three-day forecast (commit:baca79c5663cd85e2b97d39bfb2139a2a4eedf1d, file:live-weather.js:151-162). The participant note claims every city opens its forecast from the bundled dataset, but this is not true for the actual fixed production path. Also, the available screenshots show cards and Rome-related views but do not prove the interactive flow end-to-end; no final screencast could be requested because the session had ended.

The structure is genuinely well-layered for a small widget: live-weather.js is a data-access module with an injectable interface (getData(input, units)); server.js routes through pageFor and depends on it one-way (no circular knowledge); tests replace it with a fakeWeather; presentation is factored into small single-purpose builders with clean separation. Component boundaries and dependency direction are sound, and the fixed/live split plus tests show proportionality. However, the data-access component fails to deliver the contract's data model: FIXED_WEATHER (live-weather.js:40) carries no forecast field and the fixed-data path hard-returns forecast: [] (live-weather.js:182), so in the default running widget (createLiveWeather() -> fixedDataset) the forecast view renders an empty grid — a deterministic probe of /?city=rome&view=forecast showed no Day 2, no 26, no cloudy. Card values also deviate from the pinned dataset (rome card 29 vs dataset day 1 = 30). The module carries two divergent data paths (fixed vs live Open-Meteo) where the default one is the broken one and the live path contradicts the task contract that the pinned dataset is the only weather source. The done-note's claim that the forecast comes from the bundled dataset contradicts the code.

Naming is clear and consistent (pageFor, cardInner, forecastInner, escapeHtml, cityUrl) and there are no large copy-paste blocks, but the shipped configuration wires the forecast UI to data that is always empty: the fixed-dataset path returns forecast: [] (live-weather.js), so forecastInner's day cards can never render in the default run. City names are duplicated across QUICK_PICKS and FIXED_WEATHER (two sources of truth), and the FIXED_WEATHER values (nyc 26 humid, rome 29 sunny) don't correspond to the pinned dataset (nyc day 1 = 27 humid, rome day 1 = 30 sunny) — inert, misleading data. Duplication measured by my full read is modest (~6% repeated search/chips block in five view functions), below the 10% cap.

A newcomer changing this safely would immediately hit a trap: node server.js runs the fixed-dataset mode, whose getData returns forecast: [] (live-weather.js), so opening a forecast shows an empty grid even though the task's pinned three-day dataset is the core requirement and is absent from the repo; the done note (.ololo/weather-widget-forecast-done.md) claims behavior the code does not deliver. Mode selection is implicit (fixedDataset = !fetchImpl), easy to misunderstand. On the plus side, error handling at real boundaries is solid: 15s timeout with AbortSignal fallback, service-unavailable page, unknown-city page, and a partial-fetch fallback to full navigation. renderStyles is one ~250-line template literal and cardInner/forecastInner inline the same search/toggle/chips block, so structural change touches many duplicated spots. Magic values are mostly named/parameterized (cacheMs), with '3' forecast days hardcoded in two places.

The pinned forecast dataset does not exist anywhere in the repo: no file declares the day 1-3 values for nyc/sao-paulo/bangkok/rome, so there is no single source of truth. The only weather table, FIXED_WEATHER (live-weather.js:41-46), is fabricated data that contradicts the pinned dataset (nyc 26 vs 27; sao-paulo 19 cloudy vs 18 rain; bangkok 33 vs 34; rome 29 vs 30) and carries forecast: [] (live-weather.js:178). Because server.js defaults to createLiveWeather() with no fetchImpl (fixedDataset), the running widget renders an EMPTY forecast grid — verified by probe: /?city=rome&view=forecast outputs no Day 1/2/3, no 26, no 'cloudy', so the 'forecast matches the dataset' scenario fails in the real widget. The alternative code path (live-weather.js:111-161) fetches live Open-Meteo values, an external source the task contract forbids as the only weather source, and cannot produce the pinned numbers. The output is therefore not derived from the pinned dataset (rome card shows 29C, a value absent from the dataset; the probe test codifies this wrong value). Positive: data layer separation is structurally clean — getData() behind a module with server.js rendering from the returned object, no parsing in presentation code. But honest sourcing fails hard, which dominates.

The suite has real assertions and all 13 tests pass, but it does not verify the task's core scenarios against the shipped widget. The only test file added in this task's window (weather-widget-probe.test.js) asserts values from the implementation's own FIXED_WEATHER table (Rome 29°C sunny, Bangkok 91°F) that diverge from the pinned dataset (rome day1=30 sunny; sao-paulo day1=18 rain, table says 19 cloudy) — restating the implementation rather than specifying dataset behavior. The forecast scenario — the heart of the task — is never exercised against the real default widget: a deterministic probe of the actual server shows the Rome forecast renders 0 day cards and no '26 cloudy', i.e. the suite is green while the scenario fails. 'Day 2 = 26 cloudy' is only asserted against an injected fakeWeather in weather-widget.test.js whose fake data happens to match, not the real dataset path (live-weather.js fixedDataset returns forecast: []). Client-side switching (fetch-partial, no-address-bar navigation) has no automated coverage at all, relying on the screencast artifacts; the forecast path is likewise uncovered at the E2E level. Coverage of error paths (unknown city, service failure, units, caching) is decent, which keeps this above floor.

No agent-facing configuration exists: the tree at the task commit (baca79c) contains only server.js, live-weather.js, two node:test files, and .ololo task notes — no AGENTS.md/README, no package.json or scripts, no skills, no hooks or pre-commit guardrails (list_files). The repo compensates modestly: the layout is small and self-explanatory and weather-widget.test.js + weather-widget-probe.test.js encode runnable verification (13 tests pass under node --test), so a fresh agent could discover the run/verify loop. But the encoded verification diverges from the real build: tests exercise a fakeWeather that supplies forecast days, while the shipped fixed-dataset path (live-weather.js:170-179) returns forecast: [], and a deterministic probe against the real server confirmed /?city=rome&view=forecast renders cards=0 / no 26°C / no cloudy — i.e. the exact scenario the task requires is asserted only against a fake. The done-note (.ololo/weather-widget-forecast-done.md) is present and ≥10 words but likewise overstates ('opens its forecast from the bundled dataset'). So the automation gives false confidence and the only guardrail is a green-but-misleading test run. Proportional: the solution itself is appropriately small; the absence of any instructions/hooks plus the test/build mismatch keeps this at the low end of the 0-2 band.

Beyond the requested city switching and forecast, the build adds a notably user-focused SPA-like navigation layer: internal links and GET forms load partial HTML through fetch, preserving the page and address bar while still falling back to normal navigation on failure. It also adds Celsius/Fahrenheit conversion, arbitrary-city search, cached live Open-Meteo data, clear unknown-city/service-error states, responsive layouts, and keyboard-friendly native form controls. These extras are implemented and supported by the passing test suite; the delivered screenshots visibly show quick picks, unit switching, responsive mobile layouts, and a forecast entry point.

Clear, intention-revealing naming throughout (pageFor, cardInner, unknownInner, cityUrl, normalizeUnits); user-supplied strings are consistently HTML-escaped (escapeHtml, server.js:14); no dead code of consequence found on read-through; jscpd measures 0% duplicated tokens/lines across the 3 JS files (min-tokens 40), so no cap applies. The only structural repetition is the widget footer (unitToggle + searchForm + quick-pick chips) re-inlined in cardInner, forecastInner, unknownInner, serviceErrorInner and allInner, and the near-identical unknownInner/serviceErrorInner error views — mild template boilerplate that stays under clone-detection thresholds.

Clean separation of concerns: server.js (routing/rendering) vs live-weather.js (data client), wired by dependency injection (createServer({weather}), createLiveWeather({fetchImpl, cacheMs})), so a newcomer can run or stub the whole data layer — demonstrated by 10 passing node:test cases covering scenarios, units, unknown city, forecast, partial mode, service failure and caching. Error handling sits at real boundaries: upstream non-OK throws are caught into a service-unavailable page, unknown city renders politely, 'atlantis' is deterministically blocked, and requests time out. Deductions: renderStyles is a ~230-line single-literal function that needs scrolling (server.js:34); the async request handler has no outer try/catch, so an unexpected render-time throw would leave the client hanging; a few magic values (8123 default port, 15000ms timeout, hardcoded 'atlantis' set).

The task's contract pins the four-city dataset (nyc 26/humid/15, sao-paulo 19/cloudy/11, bangkok 33/thunderstorm/8, rome 29/sunny/12) as the widget's ONLY weather source. That dataset exists nowhere in the repository — no file declares those temperatures, conditions, or winds. Instead the widget fetches live values from Open-Meteo (geocoding + forecast API) at request time (live-weather.js: geocodeUrl/weatherUrl to open-meteo.com; temperature = Math.round(weather.current.temperature_2m)), and QUICK_PICKS (live-weather.js:3-8) carries only display names. The tests and done notes even celebrate this: 'typed city shows live values from the service, not a built-in table' (weather-widget.test.js) and 'show the service's current values, not built-in tables' (.ololo/weather-widget-live-done.md). This is a serious honesty-of-sourcing defect: the displayed values are fetched from a source the pinned dataset does not carry, so the pinned scenario outputs (rome → 29/sunny, bangkok&units=f → 91) cannot hold deterministically. There is no single identifiable place holding the task's dataset (source-of-truth fails). Positives: data fetching/shaping is cleanly isolated in live-weather.js behind createLiveWeather().getData() with server.js only rendering (data-layer separation is strong), and no duplicated copies of weather values exist. But the central contract — the pinned dataset as the only weather source — is violated, so the score is low.

The suite is a genuine, runnable engineering artifact: 10 node:test cases pass cleanly (probe: node --test weather-widget.test.js → 10 pass / 0 fail / 0 skipped), with real assertions on HTTP status and rendered HTML, a proper mix of integration tests over a live listening server (7) and unit tests of the data client with an injected fetch double (3), and good error-path coverage (unknown city, upstream failure, partial mode, cache hit counts, blocked-city list). Gaps against the task's own scenarios are significant, though: none of the brief's canonical behaviors is exercised against the real four-city dataset — the suite injects a fake weather service returning fabricated values, so /?city=rome → 29 'sunny' and /?city=bangkok&units=f → 91 are never verified (the Fahrenheit test at weather-widget.test.js:69 just echoes the fake's pre-baked 108, so the required C*9/5+32 rounded math is never tested and is in fact delegated to Open-Meteo's temperature_unit param in live-weather.js); the required 'unknown city' string is asserted as the implementation's 'Cannot find that city' instead (weather-widget.test.js:76); and test 1 (weather-widget.test.js:52) actively codifies a live Open-Meteo product ('not a built-in table') that contradicts the contract that the four-city dataset is the widget's only weather source — so a regression back to, or away from, the brief's exact dataset values would pass the suite.

No agent configuration exists anywhere: no AGENTS.md, README, package.json, scripts, CI, or hook files (confirmed absent by listing and direct reads). There is no document telling an agent what the project is, how to run it (node server.js is only discoverable by reading the code), or what the constraints are — and the one piece of prose documentation that exists, .ololo/weather-widget-done.md, contradicts the shipped build (it claims a 'fixed four-city dataset' while server.js/live-weather.js fetch live Open-Meteo data). Telemetry corroborates the absence of workflow engineering: zero skills loaded and a ~2s session with a single bash call. The repo partially compensates: the layout is self-explanatory (server.js entry -> live-weather.js data source), and weather-widget.test.js is a genuine, reusable verification harness (12 node:test cases covering scenarios, units, error paths, caching) — but nothing wires it to a command (no package.json 'test' script) and it is never invoked by any hook. Proportionality is fine (a small task got a compact harness), but there are no instructions, skills, or guardrails, so this sits at the low end of the no-config band.

The code is organized into three clear, single-purpose modules with clean one-way dependencies and injection seams at both layers. Data access lives entirely in live-weather.js: upstream geocoding/forecast fetching, a 5-minute cache, weather-code→label/icon mapping, and unit/quick-pick constants are all encapsulated behind a single getData(query, units) interface (live-weather.js:77-160). Presentation lives in server.js as small pure render helpers (cardInner, forecastInner, unknownInner, serviceErrorInner, allInner, unitToggle, quickPickChips, searchForm) plus a thin pageFor router and http handler (server.js:275-327); markup, CSS, and a small client-side nav script are fused into that one file, which is the only real concentration point, but it is a single coherent presentation concern rather than logic interleaved with markup. Business/routing logic (normalizeUnits, cityUrl, pageFor) is separated from the HTML strings, and all user input is escaped centrally via escapeHtml. Dependency direction is strictly one-way: server.js requires live-weather.js (defaulted but injectable via createServer({weather})), live-weather.js requires nothing from the app, and tests inject a fake weather service (weather-widget.test.js:6-31) plus a fake fetchImpl (weather-widget.test.js:176-198), proving both boundaries are replaceable and testable in isolation. Proportion is right for the task: plain Node http with node:test, no framework, no needless layering. Minor deductions: the render layer is a 15KB file mixing HTML templates, a large embedded stylesheet, and inline client JS (acceptable but not ideal), and module names/notes reflect the later 'live' pivot rather than the brief's four-city-only contract — a product-fit concern, not a structural one.

The build goes meaningfully beyond the required single weather card: it adds a responsive, polished weather dashboard with quick city picks, Celsius/Fahrenheit switching, a 3-day forecast view, humidity and wind details, client-side partial navigation, search, caching, and helpful empty/error states. The delivered screenshots visibly show the forecast/other-cities presentation and responsive mobile layout, while the implementation contains the working navigation and forecast paths.

The submitted page is polished and visually responsive in the provided screenshots, but it does not implement the required product contract. The code explicitly uses Open-Meteo geocoding and forecast APIs rather than the required fixed four-city dataset, and the displayed Rome screenshot shows 25°C/clear sky/2 kph instead of the mandated 29/sunny/12 kph. The Fahrenheit scenario likewise cannot reliably produce the required Bangkok value because it depends on live upstream data. The unknown-city wording is polite, but only Atlantis is hard-blocked while arbitrary unknown names are sent to geocoding, violating the four-city-only requirement. The completion note claims a fixed four-city dataset, but live-weather.js instead performs external lookups and live weather requests.