AI Model Reviewer

Kimi K3 in OpenCode 1.18.35

skills on · OpenCode 1.18.35 + skills on (54: 33 video + 21 web/Three.js)Kit: 33 video + 21 web/Three.js · 0 of 54 installed skills used in the session

← Open in the gallerySame prompt, all models

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Poster frame of Kimi K3's page
Open the original page

The model's own page, run in a sandboxed frame only when you ask (a page that needs its own origin opens in a new tab on a separate demo site). Phones get a full-screen player capped at 1.5x pixel density (2x on larger screens) so it stays smooth; the original page runs uncapped. Tap inside for sound.

OKWorld weather stationsn/a effortNeutral harness

Wall time 41m 35sCost $2.85 reported

Review

No verdict yet.

The full review

OK. Harness exited after 41.6 min with the artifact written (final log event not seen).

Scores

AI judge

Not scored

No rubric for this prompt

Visitor votes and reviewer grades are not available yet.

AI judge
AI judge: the test runner (model claude-opus-5-5), scoring by visual review of the 1600 px render against the pre-registered rubric. No AI-judge score exists for this result: there is no rubric for this prompt, so no score is shown and none is made up.
Visitors
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Reviewer
The reviewer's own grade appears here once it is added.

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Downloads

Files actually published for this run. Original output, site-made previews and post-run conversions are labelled separately.

The exact prompt

as run, 3,863 characters. Every result for this prompt

Build an interactive climate dashboard comparing six weather stations from the exact dataset below (CSV: one row per city and month with the average daily high temperature in Celsius, total rainfall in millimetres and sunshine hours). Embed the data in the page verbatim and compute every number from it; do not invent or alter any value.

city,month,avg_high_c,rain_mm,sun_hours
Reykjavik,Jan,0.4,77,54
Reykjavik,Feb,0.9,76,81
Reykjavik,Mar,3.8,67,116
Reykjavik,Apr,6.3,48,147
Reykjavik,May,10.1,32,221
Reykjavik,Jun,12.9,24,247
Reykjavik,Jul,13.2,24,274
Reykjavik,Aug,12.2,29,233
Reykjavik,Sep,9.9,37,214
Reykjavik,Oct,6.2,51,160
Reykjavik,Nov,3.1,59,103
Reykjavik,Dec,2.6,74,77
Lisbon,Jan,13.3,100,52
Lisbon,Feb,14.1,99,77
Lisbon,Mar,18.5,69,113
Lisbon,Apr,20.3,47,168
Lisbon,May,25.3,31,222
Lisbon,Jun,27.9,15,245
Lisbon,Jul,28.5,1,259
Lisbon,Aug,27.6,5,259
Lisbon,Sep,24.3,21,212
Lisbon,Oct,21.1,51,146
Lisbon,Nov,18.0,83,100
Lisbon,Dec,15.4,89,84
Singapore,Jan,29.6,254,152
Singapore,Feb,30.6,249,136
Singapore,Mar,30.4,223,151
Singapore,Apr,31.4,201,174
Singapore,May,31.6,183,132
Singapore,Jun,30.9,158,155
Singapore,Jul,31.8,164,167
Singapore,Aug,31.0,163,160
Singapore,Sep,30.8,182,130
Singapore,Oct,31.9,203,172
Singapore,Nov,30.7,235,129
Singapore,Dec,29.9,237,146
Denver,Jan,5.9,47,63
Denver,Feb,7.5,42,76
Denver,Mar,11.6,41,101
Denver,Apr,18.0,40,160
Denver,May,24.9,27,219
Denver,Jun,30.0,23,251
Denver,Jul,30.7,22,253
Denver,Aug,29.4,25,241
Denver,Sep,24.9,38,201
Denver,Oct,17.6,29,153
Denver,Nov,12.2,33,106
Denver,Dec,7.4,35,64
Cape Town,Jan,27.6,9,269
Cape Town,Feb,25.9,16,279
Cape Town,Mar,24.9,30,236
Cape Town,Apr,23.3,60,192
Cape Town,May,21.0,68,142
Cape Town,Jun,18.1,87,111
Cape Town,Jul,17.8,94,111
Cape Town,Aug,18.8,79,131
Cape Town,Sep,20.3,69,163
Cape Town,Oct,22.7,46,187
Cape Town,Nov,24.4,35,227
Cape Town,Dec,25.9,16,280
Mumbai,Jan,30.2,7,62
Mumbai,Feb,30.0,6,68
Mumbai,Mar,29.9,11,121
Mumbai,Apr,32.1,79,166
Mumbai,May,33.0,247,205
Mumbai,Jun,33.0,481,245
Mumbai,Jul,33.2,601,273
Mumbai,Aug,32.3,494,241
Mumbai,Sep,32.5,252,225
Mumbai,Oct,31.5,67,166
Mumbai,Nov,29.8,3,115
Mumbai,Dec,30.1,7,81

The dashboard needs: small-multiple climate charts, one per city, each with monthly temperature as a line over rainfall as bars and the two axes clearly labelled; a radial (polar) chart of the selected city's year with temperature as radius and rainfall as colour; a heatmap of temperature by city and month; KPI cards per city for annual rainfall, hottest and coldest month, temperature range and total sunshine; a 'best month to visit' calculator with sliders for preferred temperature range, maximum rain and minimum sunshine that scores every city-month and lists the top five; a Celsius and Fahrenheit toggle; hover or tap tooltips with exact values; and a short auto-written comparison panel computed from the data. Make it beautiful, editorial and calm, like a data feature in a great magazine. So the page is alive without input, on load the charts draw in and a tour cycles forever: it rotates the radial chart through each city, sweeps a highlight across the heatmap month by month, adjusts the visit calculator sliders to show the ranking change, and toggles units once per loop, until the user touches a control.

Save it as index.html in the current directory: one self-contained file with inline CSS and JavaScript only, no libraries or frameworks, and no external requests of any kind (no CDNs, web fonts, images or audio files). It must work when opened directly from disk, fit any window from a 390 px wide phone to a desktop, and run without console errors. You may serve it locally and open it in headless chromium (/usr/bin/chromium, software WebGL, no GPU) to screenshot and inspect your own output, and iterate on your own before finishing. Close any browser you open as soon as you've taken your screenshot.

How it was made

Wall time 41m 35sFirst artifact at 25m 15s

Step by step

The prompt, every agent turn and tool call (tool name and a one-line summary; inputs and outputs are not shown), then the final message. The full transcript is 4.5 MB; it is published as a scrubbed, compressed download rather than shown on the page.

Show all 125 steps

Loading the timeline…

Download the full transcript OpenCode session export, 116 KB, gzip. Scrubbed: anything that looks like a key, token, e-mail address or phone number is replaced, and account details and the test machine's file paths are removed.

Cost breakdown

Headline cost $2.85, as reported by OpenCode (its own bill for the run). The list-price estimate from the token counts is $2.85.

Tokens by typeTokens$ per 1MCost
Input (uncached)187,142$3.00$0.5614
Cache write0$3.00$0
Cache read3,850,586$0.30$1.1552
Output75,541$15.00$1.1331
of which reasoning48,960billed as output
Total computed from tokens
$2.8497
Total reported by the harness
$2.8497
Difference
matches

OpenCode 1.18.35 reported its own total; token counts x list prices shown beside it. The harness reports reasoning tokens separately from output; here output includes them (26,581 visible + 48,960 reasoning), and both bill at the output rate.

Prices: https://platform.kimi.ai/docs/pricing/chat, 2026-09-24.

Run notes

one prompt, agentic harness (self-review allowed)skills=on

  • frozen prompt (written): core requirements sha256 6d5fbb9a4049, full harness prompt sha256 6d5fbb9a4049; exact prompt text used by the existing harness rows of this test on the runs branch (copied from dash_world_weather_stations__claude-code__opus-5-5-high__attempt1/meta.json, sha256 verified); Beta hal
  • no TUI: the harness ran in its non-interactive mode, so there are no TUI screenshots; the timelapse is built from version renders only
  • OpenCode config (providers only, permission allow-all except question; no agents/instructions) + both default skill kits in xdg/config/opencode/skill (skills=on)
  • infra retries: 0
  • in the published transcript the sandbox HOME directory is shown as <HOME>
  • skills=on: 54 skills installed in the harness skill directory before launch (video-33 remotion-dev/skills + heygen-com/hyperframes@0b5db9da + f; web-threejs-21 [redacted]/ai-AI Model Reviewer skills/ (alpha/mr-homebar)@7521074d98c9).
  • Mode: headless run mode (opencode run --format json), inside bubblewrap sandbox
  • Isolation audit: none
  • Renderer: inline SVG (every chart is hand-built SVG written by the page's own script); no chart library, no canvas, nothing loaded from a CDN (single self-contained file).
  • Card video: none (the run has no H.264 yuv420p video.mp4 with 30+ frames under 24 MB). Poster: a headless-Chromium screenshot of the run's own index.html taken at import (the run folder has no render.png).
  • Skills on: the run had 54 skills installed (33 video + 21 web/Three.js), as its meta records.
  • Kimi K3 served via Fireworks (OpenCode provider fireworks-ai).
  • Same frozen prompt as the other rows on this test; configurations differ and all rows are unscored, so this is not a head-to-head result.