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GPT-6 Sol in Codex CLI 0.156.1

skills off

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Poster frame of GPT-6 Sol'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. It starts in its auto-tour (T switches to play mode on a keyboard).

OKWebgpu sailing stormmax effortNeutral harness

Wall time 16m 28sCost $2.70 estimated

Review

No verdict yet.

The full review

OK. Finished on its own after 16.5 min.

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.
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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, 947 characters. Every result for this prompt

Build a single-page browser sailing scene in Three.js (WebGPU renderer, TSL node materials, WebGL2 fallback). A small sailboat rides a stormy ocean: animated Gerstner-wave water with foam on crests, heavy rain, lightning flashes that light the clouds, wind that heels the boat and fills the sail. Keyboard steers (A/D) and trims the sail (W/S); the boat's speed responds to wind angle. Add a calm/storm slider. Steady 60 fps on a laptop. One index.html plus local JS files only, no external assets or CDNs. Save the main page as index.html in the current directory (plus any local asset files you create), with no build step. You may serve it locally and open it in headless chromium (/usr/bin/chromium, software WebGL, no GPU, no WebGPU) 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. Finish with a short README.md describing the controls.

How it was made

Wall time 16m 28sFirst artifact at 3m 18s8 saved versions

Versions saved during the run

8 intermediate outputs, in the order the model wrote them.

No transcript was delivered with this result.

Cost breakdown

Headline cost $2.70, estimated from the token counts at list price.

Tokens by typeTokens$ per 1MCost
Input (uncached)259$2.00$0.0005
Cache write146,058$2.00$0.2921
Cache read7,115,111$0.20$1.4230
Output98,470$10.00$0.9847
of which reasoning57,412billed as output
Total computed from tokens
$2.7004
Total reported by the harness
none

Computed from harness-reported token counts x list prices. Cache writes priced at the input rate (the price table has no separate cache-write price). No request above 272,000 input tokens (78 checked): standard rates.

Prices: Project price table, 2026-09-25.

Run notes

one prompt, agentic harness (self-review allowed)

  • frozen prompt (written): X-idea prompt queue (frozen in prompts_queue), MR wave 3 skills-on expansion (MK chat 9:05 AM Oct 4: expand urgently); category threejs; engine threejs harness suffix appended; zero results
  • plain CODEX_HOME copy (config.toml only, run work/ trusted; no AGENTS.md/skills/state)
  • Mode: interactive TUI in tmux (160x48), inside bubblewrap sandbox
  • Isolation audit: outside paths seen
  • No card video: the WebGPU demo needs a GPU browser and rendered only in software here. The session capture (video.mp4) showed a blank, loading or WebGPU-error screen or was under 5 s, and the agent's build timelapse is not published because it shows the harness terminal. Open the live demo in a WebGPU browser.
  • Poster: captured from the served demo in headless Chromium (software WebGPU/WebGL) after 20 s; the run's own render.png showed a loading or empty screen.