YGVPBR

No screenshot or screencast was delivered, so the visual review could not happen. The committed markup also shows only a single weather card and city switcher; no full forecast surface is present to review.

No screenshot was delivered, so contrast and rendered accessibility cannot be assessed. Markup provides some supporting semantics, including lang, headings, navigation labeling, and icon labels, but the required forecast flow is absent from the committed implementation.

No narrow-viewport screenshot was delivered, so mobile rendering cannot be assessed visually.

The submitted product does not implement the requested feature. The required completion flag .ololo/weather-widget-forecast-done.md is absent from the committed files, and index.html renders only a single current-weather card plus city links; there is no forecast-opening control, no three-day forecast view, and no return-to-card flow (commit:b030cd01b775bcaa943b7de9e0d53e520a542bbe, index.html:25-61). The data source also contains only one current temperature and condition per city, not the pinned three-day dataset (data/weather.js:2-8). The participant's existing completion note claims the four-city widget is complete but does not claim or verify the requested forecast work (.ololo/weather-widget-done.md). A screencast could not be obtained because the session was over, but the committed code is sufficient to establish the missing required behavior.

The data layer is cleanly separated and testable: data/weather.js exports a frozen dataset plus lookup()/toFahrenheit() view-model logic, with dependencies flowing one way into it and node:test coverage in test/weather.test.mjs. But everything above the data module is fused into a single inline module script inside index.html — query parsing, icon mapping, switcher generation and innerHTML rendering all in one place, i.e. business logic interleaved with markup, which caps the score at 5.0. There are no UI component boundaries and no structure for the task's required flows (client-side switching state, forecast view, return navigation) — the task commit only added package.json, so the codebase remains the previous single-card widget with a single-day dataset that contradicts the pinned 3-day brief. Structure is proportionate to a tiny widget but not to this task's deliverable.

The code that exists is clean and consistent: well-named identifiers (lookup, WEATHER, switcher, view), a single weather source in data/weather.js, no copy-paste, no dead branches, and a small test suite covering edge cases (file:data/weather.js:1, file:index.html:10, file:test/weather.test.mjs:3). Two small blemishes relative to THIS task: the comment in data/weather.js:1 claims the dataset is 'pinned in the brief' while it still holds the prior task's single-day rows (temp_c/wind_kph, rome=29) instead of this task's pinned 3-day table (rome 30/26/27), and test/weather.test.mjs:8 asserts the old 'rome 29 sunny' scenario, so comments/tests now contradict the actual task brief. Nothing was written for this task except package.json (commit b030cd0 diff), so the verdict is on inherited code.

The existing layers are separated cleanly (data/lookup in data/weather.js, rendering in index.html, presentation in style.css), the lookup view-model is a tidy seam, and node:test coverage makes small changes safe. However, a newcomer asked to implement THIS task would find the code models the wrong domain: the switcher at index.html:24-28 navigates via full-page links, contradicting the 'without touching the address bar' requirement; there is no 3-day forecast model or forecast view; and the flat single-day dataset would need restructuring. The inline HTML template strings with repeated URL construction (units links at index.html:47-49) are the kind of code that grows unwieldy when a forecast view is added. These are design-level mismatches with the task rather than defects in the code as written, so I score the inherited code itself, which is small and safe to change.

There is no agent configuration at all: no AGENTS.md (or equivalent), no .claude/.agents skill definitions, no hook scripts or guardrails anywhere in the repo. The task commit b030cd01 adds only package.json wiring npm test → node --test test/*.mjs; every other file is inherited unchanged from the prior 'build the widget' task. What the repo does offer is a small, self-explanatory layout and an honest README: a run command (npx serve ., README.md:6) and a test command that actually executes, plus a real node:test suite. That is worth a little credit (the 'repo compensates' branch of the rubric). But nothing encodes this task's workflow: no automation for running the widget, no script to capture or verify the living switching/forecast flows the brief demands a screencast of, and the sole new automation (npm test) validates the wrong product — test/weather.test.mjs:5 asserts 'rome scenario: 29 and sunny', contradicting the pinned dataset's rome day 2 = 26 cloudy. The README also describes only the old single-day widget. Proportionality would have favored a few sharp lines (e.g., a serve+verify script); instead there is effectively nothing added for this task beyond a test alias, and zero recorded agent session activity in the telemetry window.

The suite (test/weather.test.mjs, 6 node:test cases, all passing per probe) has real value assertions and some error-path coverage (unknown city, empty/null lookup, C→F rounding), which is its only strength. But it verifies none of this task's scenarios. The data module under test (data/weather.js:5-11) still carries the previous task's single-day dataset (one temp+condition per city); the pinned 3-day forecast table (nyc 27/24/22, sao-paulo 18/21/20, bangkok 34/32/33, rome 30/26/27) is absent from both code and tests. The 'rome scenario' test hard-codes the old 29/sunny values (test/weather.test.mjs:7-15) — directly contradicting the task's scenario 3 (rome day 2 = 26 cloudy) — so it passes while the forecast is unimplemented: a hard-coded-to-pass test that restates the old implementation instead of specifying this task's behavior. City switching without touching the address bar, opening the full forecast (day, temperature, condition), and returning to the card have zero automated coverage, and there is no integration/e2e level at all — the interactive flows the task centers on are only ever manually verifiable, and the contract-required webm screencast artifact was never produced (.ololo/ contains only settings.json and the prior task's weather-widget-done.md; the required .ololo/weather-widget-forecast-done.md is missing). Unit-only, wrong-subject coverage, one dishonest test: 2/10.

This task's core is entirely absent, so the extra-mile cap applies (max 4.0 on a visibly broken base). The forecast dataset (day 1/2/3 per city) does not exist — data/weather.js still holds only the previous task's single-day rows (temp_c, condition, wind_kph); there is no 'open forecast' control or 3-day forecast view in index.html; and the required .ololo/weather-widget-forecast-done.md was never written. City switching is done with plain links (index.html:22-35), which navigate via the address bar and reload the page — the opposite of the brief's 'without touching the address bar' flow. The last commit for this task adds only package.json. The niceties that exist (unknown-city error card, °C/°F units toggle, condition-themed cards, aria-current navigation) are the previous task's work, not this one's, and they do not implement a single scenario of this brief.

The pinned 3-day forecast dataset for this task does not exist anywhere in the repo. The task commit b030cd01 adds only package.json on top of the prior task's commit, so data/weather.js still carries the previous task's single-day values (nyc 26 humid, sao-paulo 19 cloudy, bangkok 33 thunderstorm, rome 29 sunny) plus invented wind_kph fields — none of the pinned numbers (nyc 27/24/22, sao-paulo 18/21/20, bangkok 34/32/33, rome 30/26/27) appear, and there is no day 2/day 3 at all. This is fabricating values the pinned source does not carry: a serious defect. The data layer itself is cleanly separated (one module behind a lookup() interface, no shadow-data duplication), which earns the small credit, but the source of truth for THIS task is absent and replaced with invented data, so rome day 2 = 26 cloudy is impossible. Data flow is fully traceable to data/weather.js, so no probe is needed; the defect is the dataset content, not its traceability. The required completion marker .ololo/weather-widget-forecast-done.md is also missing (only the prior task's weather-widget-done.md exists).

Clean, proportionate separation for a small static widget. Data + business logic (frozen four-city dataset, Celsius→Fahrenheit conversion, city lookup into a view model) live in data/weather.js as pure, DOM-free, unit-tested functions; index.html only reads query params and renders HTML strings; style.css is presentation-only; node:test suites cover the scenarios, rounding, case tolerance, and dataset integrity. Dependencies flow one way (html/test → weather.js), no circularity, and the lookup() view-model is a clear interface between logic and presentation. The inline script in index.html stays presentation-only. Minor nits: unit symbols are formatted in the data layer, and the user-supplied city query is interpolated into innerHTML unescaped (code-craft concern, not structural), but neither blurs component boundaries. Structure is understandable from the files and README alone.

Small, purpose-built codebase with clear separation: the pinned four-city dataset plus lookup/conversion logic in data/weather.js (frozen, documented), presentation-only CSS, query parsing/rendering in index.html, and node:test coverage. Naming is descriptive (lookup, toFahrenheit, switcher, view, WEATHER) and nothing is dead — every export is exercised by index.html or the tests. No copy-paste: the city switcher is a single shared function used by both the success and error branches, and the four conditions are data, not repeated markup. Duplication is verifiably low from full-file inspection of a ~250-line tree, so no metric probe was needed.

Functions are short and shallow (lookup ~15 lines, switcher ~8), the only nesting is a single .map, and boundary behavior is handled well: unknown/empty/null cities return a polite error, lookup is case- and whitespace-tolerant, conversion is a named, JSDoc'd function with rounding tests, and all three scenarios plus dataset integrity are unit-tested (commit diff shows the full test suite). Magic values are minimal and named (ICONS map, CSS variables). One genuine flaw at the user-input boundary: the unknown-city hint interpolates the raw decoded query string into widget.innerHTML (index.html line 60, via view.query), so a crafted ?city=%3Cimg%20onerror=...%3E executes — it should escape or use textContent. This is the only unsafe interpolation point (dataset values are frozen and safe), so impact is limited, but it is exactly the kind of defect a newcomer must know about before changing the page.

The implementation directly satisfies all required scenarios: Rome renders 29 and sunny, Bangkok with units=f converts 33°C to 91°F using the specified formula, and an unknown city renders the exact phrase “unknown city” (index.html; data/weather.js). The four-city dataset is the only weather source, with clean centralized lookup/conversion logic and no duplicated weather data (data/weather.js). The page also provides wind, unit switching, city navigation, responsive styling, condition-specific accents, accessible labels, and a polite empty-query state (index.html; style.css). The completion note is present and accurately describes the shipped behavior (.ololo/weather-widget-done.md). Minor deduction: the required scenario is URL-driven browser behavior, while the included tests primarily validate the lookup layer rather than rendering actual query URLs in a browser (test/weather.test.mjs).

Beyond the three required scenarios the widget ships several genuinely useful, working touches aimed at a real visitor. Standouts: a city switcher that preserves the chosen units across navigation (index.html:20-33), a recoverable error state — unknown city shows the required 'unknown city' plus a quoted hint and the city nav so the page is never a dead end, and an empty-query prompt (index.html:60-71); a live document.title ('Rome — 29°C') so the browser tab carries the weather; per-condition emoji icons with aria-labels and condition-matched card backgrounds ('the card quietly matches the sky', style.css:70-76). Wind from the dataset is surfaced in a meta row with a °C/°F toggle, lookup is case/whitespace tolerant, and accessibility touches (aria-live, aria-current, noscript) are present. Core scenarios verified by the passing node:test suite (probe: 0 failures). Not quite a single unforgettable demo moment, but a coherent set of end-user-focused extras — solidly above the plain baseline.

Source of truth: the entire pinned four-city dataset lives in ONE place — data/weather.js:2-10 (Object.freeze WEATHER with nyc 26/humid/15, sao-paulo 19/cloudy/11, bangkok 33/thunderstorm/8, rome 29/sunny/12), exactly matching the brief. No drifting copies in shipping code: index.html hardcodes no temps/conditions/wind (the ICONS map at index.html:22-27 only maps condition names to emoji for presentation), and the city switcher derives from WEATHER directly (index.html:33). Test file repeats values, but as assertions, not shipped data. Data layer separation is strong: all reading/shaping/conversion is isolated in data/weather.js behind a clean lookup(slug, units) → view-model interface and toFahrenheit (C*9/5+32 rounded, data/weather.js:16-19); index.html only imports and renders, with no parsing logic in presentation code. Honesty of sourcing: every displayed weather value traces to the pinned dataset — temp via WEATHER[row].temp_c or the pinned formula (33→91 verified, test/weather.test.mjs:13-17), condition and wind_kph direct. No fetching or fabrication of weather values. Minor note: the module adds human-readable city display names ('New York', 'São Paulo', etc.) not present in the brief's table; these are presentation labels, not weather data, and don't contradict the source — hence a small, not serious, deduction.

No agent configuration exists: no AGENTS.md, no .claude/ or skills, no scripts, no package.json hooks, no CI — list_files shows only the widget source, README, tests, and the done-note, and the session-start snapshot diff confirms nothing pre-existing was configured. The repository itself compensates at the top of the no-config band: README.md documents exactly what the project is, how to run it (npx serve ., file:README.md:7), how to verify it (node --test test/, file:README.md:13), and the four-city constraint (file:README.md:18-19), all accurate against the code. test/weather.test.mjs encodes the routine verification work — the three scenarios plus conversion rounding and dataset integrity (file:test/weather.test.mjs:4-43) — so a future agent can reproduce pass/fail with one command. Proportional to the task size: a few sharp lines, no framework. What's missing is any automation beyond the tests: no script to start a server, no hooks/guardrails, no instructions framed for an agent, and no agent telemetry was recorded (task stats are all zero).