AI Model Reviewer

Claude Opus 5.5 in Pi 0.87.1 + skills kit (ponytail, ECC, vetted skills)

skills off

← Open in the gallerySame prompt, all models

Stopped by us

We ended the run ourselves before any output. Not a model failure.

Stopped by usCinematic fjord boat scene (Three.js)max effortNeutral harness

Wall time 52m 41sCost $1.83 reported

Review

No verdict yet.

The full review

Stopped by us. Stopped by us (isolated box lifetime (60 min) reached; infra stop, not a harness result); not a model failure.

Scores

Not scored: only runs that finished on their own are scored.

Downloads

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

The exact prompt

agentic harness (self-review with screenshots until cinematic), 3,786 characters. Every result for this prompt

Build a playable, cinematic single-page Three.js experience: a small boat drifting through a Norwegian-style fjord / coastal mountain landscape.

Requirements:
- ONE self-contained index.html file (HTML + CSS + JS inline). No external assets of any kind (no textures, models, fonts, audio files) EXCEPT Three.js itself, loaded via an import map from this exact pinned CDN:
  "three": "https://cdn.jsdelivr.net/npm/three@0.160.0/build/three.module.js",
  "three/addons/": "https://cdn.jsdelivr.net/npm/three@0.160.0/examples/jsm/"
  All textures (water normals, rock, snow, bark, clouds, etc.) must be generated procedurally in code (canvas / DataTexture / shaders).
- Scene content: steep procedural fjord walls and mountains with snow caps, rock and grass coloring by height/slope; procedural conifer forests (instanced); a water surface with animated waves and sky/landscape reflections; a lighthouse on a rocky point with a rotating beam that matters at night; a small wooden boat with 2 simple stylized 3D characters on it (one rowing/steering, one looking around, with small idle animations); distant islands; birds or other small life if cheap.
- Dynamic weather cycling clear -> fog -> rain -> storm -> clearing, with smooth transitions: fog density, cloud cover, rain particles, lightning flashes + wind and bigger waves in the storm.
- A full day/night cycle: sunrise, day, golden hour, sunset, night with stars and moon, lit lighthouse and boat lantern. Sky color, sun/moon lights, and fog color must track time of day.
- Controls: keyboard (WASD/arrows to steer and throttle the boat, C to switch camera, T toggles auto-tour, 1-5 to force weather, N to jump time) and touch (on-screen joystick/buttons on phones). Camera follows the boat in play mode.
- An "auto-tour" cinematic camera mode: slow, smooth, film-like camera moves (orbits, low water-level glides, high establishing shots, close-ups of the characters) while the boat drifts along a path through the fjord and the weather and time of day progress.
- Minimal, elegant UI: small title "Fjordlys" (or a better name of your choice), a tiny hint line for controls, fading out in tour mode.
- Must run smoothly on desktop and phone browsers: keep geometry/particle counts moderate, cap devicePixelRatio at 2, handle resize/orientation.
- IMPORTANT for automated video capture, support these URL parameters:
  ?tour=1        start directly in auto-tour mode
  ?capture=1     hide ALL UI overlays (title, hints, touch controls)
  ?cycle=40      when present, compress one complete showcase into that many seconds: the time of day goes from morning through golden hour, sunset and night, and the weather passes clear -> fog -> rain -> storm -> clearing within that span (so a 40-second recording shows everything). Without it, use a relaxed pace suited to live play.
  Drive all animation from the requestAnimationFrame timestamp / performance.now() (not from wall-clock-independent accumulators that ignore time), so that overriding those functions steps the scene deterministically. Set window.__sceneReady = true once the first frame has rendered.
- No console errors or warnings in a current Chrome. Use modern Three.js r160 APIs only (no deprecated/removed ones).

Output ONLY the complete index.html, starting with <!DOCTYPE html> and ending with </html>, with no explanation and no markdown fences. Build it as index.html (plus any local asset files you create) in the current directory. Three.js may load from a pinned CDN. 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 until it looks genuinely cinematic before finishing. Close any browser you open as soon as you've taken your screenshot.

How it was made

Wall time 52m 41s

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 machine-format transcript is published as a scrubbed download.

Show all 2 steps

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Download the full transcript transcript, 1.0 MB. 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 $1.83, as reported by Pi 0.87.1 + skills kit (ponytail, ECC, vetted skills) (its own bill for the run). The list-price estimate from the token counts is $1.83.

Tokens by typeTokens$ per 1MCost
Input (uncached)34$4.00$0.0001
Cache write130,307$5.00$0.6515
Cache read683,222$0.20$0.1366
Output52,128$20.00$1.0426
of which reasoningnot recordedbilled as output
Total computed from tokens
$1.8309
Total reported by the harness
$1.8309
Difference
matches

Pi 0.87.1 + skills kit (ponytail, ECC, vetted skills) reported its own total; token counts x list prices shown beside it. usage from the harness's own JSON events (message_end usage; cost.total as reported)

Prices: Project price table (vendor list prices), 2026-09-22.

Run notes

one prompt, agentic harness (self-review allowed)labelled re-run (of fjord__pi-kitted__opus-5-5)headless mode (TUI not automatable)

  • frozen prompt (verbatim): results.json: the text all 3 published harness runs of fjord used
  • Pi 0.87.1 + skills kit (ponytail, ECC, vetted skills): headless one-shot mode (TUI not automatable), run in tmux for screenshots
  • Mode: headless mode (TUI not automatable) — pi --mode json in tmux, inside bubblewrap
  • Isolation audit: outside paths seen