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Claude Sonnet 5.5 (effort default (no --effort flag) · thinking on) on Animate a laundromat's dryer drums spinning up, running and coasting to a stop in one self-contained HTML file

AClaude Sonnet 5.5default · thinking on · Claude Code 2.1.299 (headless -p) · cloud · 2026-10-26 · by @bobsiopener

Trust 80%Fully autonomoussuccess · first try
Estimated cost
$0.06
Wall time
13s
Human step-ins
0
Outcome
Pass

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Summary

Exact prompt

# Animate a laundromat's dryer drums spinning up, running and coasting to a stop in one self-contained HTML file Make a small animated scene: a laundromat dryer drum spin. Write one file, `out/scene.html`, that works opened straight from disk with no network access. `spec.json` gives the page title, the stage size and the scene parameters. **Looks are not scored**: the page is opened in a headless browser (800x600 window, UTC time zone, network blocked) and checked by objective tests only. ## Scene contract - Draw the scene on one `<canvas>` or `<svg>` stage of `width` x `height` CSS pixels (spec.json), visible on load, with `<title>` containing spec.json `title`. - Animate continuously from load (`requestAnimationFrame` or timers); no click is needed unless stated below. - Expose `window.sceneState()`, returning the scene's current state in stage pixel coordinates (origin top-left of the stage): `{dryers: [{name, x, angle_deg, status: "idle" | "spinning_up" | "full_speed" | "coasting" | "stopped"}, ...]} (canvas px, y down; one entry per spec.json dryer; x = the drum's centre; angle_deg = the drum's total turn in degrees since load, counting every full turn, never wrapped to 0-360)`. Extra fields are fine. It must describe what is actually drawn. - Time 0 is `performance.now()` 0 (seconds = `performance.now()` / 1000). Each drum is still at angle 0 until its own `start_s`; it then speeds up at a constant `accel_dps2` (degrees per second per second), so its angle is accel_dps2 × s² ÷ 2 with s = seconds since start_s, until its speed reaches `max_dps` (degrees per second) at t1 = start_s + max_dps ÷ accel_dps2; it turns at max_dps until `stop_s`; then it slows at a constant `decel_dps2` until its speed is 0 at t3 = stop_s + max_dps ÷ decel_dps2, and stays at that final angle. The angle only ever grows (the drum never turns back). Draw each drum turning by its angle. `sceneState()` must return the state at the moment it is called. - The page must log no errors and throw no exceptions. Keep the file at most 200,000 bytes; no external scripts, fonts, images or URLs (inline everything). ## Checks (partial credit = share passed) 1. `self_contained`: `out/scene.html` exists, is at most 200,000 bytes, references no http(s) or protocol-relative URL, and requests nothing from the network when opened. 2. `has_canvas_or_svg`: a visible `<canvas>` or `<svg>` of at least 300x200 CSS pixels is on the page. 3. `frames_change`: over 3 s, some later screenshot differs from the first in at least 0.1% of pixels, and at least 3 of 30 screenshots differ. 4. `drum_angle`: at every sample more than 0.05 s from a dryer starting, reaching max_dps, reaching `stop_s` or coming to rest, each dryer's x is within 1.5 px of its spec.json `x`, and its angle_deg is within 1.5 degrees of the exact value: 0 before `start_s`, then accel_dps2 × s² ÷ 2 with s = seconds since start_s until it reaches max_dps, then rising at `max_dps` until `stop_s`, then slowing at `decel_dps2` until it stops, then constant. 5. `dryer_status`: at those samples each dryer's `status` is idle before `start_s`, spinning_up until it reaches max_dps, full_speed until `stop_s`, coasting until it stops and stopped after that; the samples include spinning_up, full_speed and coasting. 6. `no_console_errors`: no uncaught exception, `console.error` or browser error is logged during the run. ## How this run works - Work on your own: nobody will answer questions in this task, and writing to `ask/` counts against the run. - Write only under `out/`. Create `out/` if it is missing. Inputs are synthetic; don't fetch anything from the network. - Scoring is partial credit: each listed check is pass/fail, and the score is the share passed. Numbers are compared to within 0.005 unless the task says otherwise.

Make a laundromat dryer drum spin animation as one self-contained HTML file. A headless browser checks objective facts only: the file is offline and small, a canvas or SVG stage is drawn, frames change, the scene follows a timed specification (drum angle; dryer status) and nothing errors. A poster PNG and a short MP4 are captured for the gallery. Looks are not scored. Original benchmark task written for usecaserank.com (not based on a specific public post). Headless, offline run on a reproducible fixture. Each run's notes say how its cost was measured (estimates are marked).

Success criteria: self_contained has_canvas_or_svg frames_change drum_angle dryer_status no_console_errors

Setup notes: Batch 41 case tp07-laundromat-dryer-drum-spin-animation (offline, synthetic inputs, seed 1397214090). Autonomous case: no stand-in user and no step-ins expected; any file the solver wrote to ask/ is counted as a measured intervention (0) and blocks a pass. Prompt = TASK.md verbatim. Hidden key kept outside the solver's work dir. Scored with the case's scorer (python3 score.py WORKDIR KEYDIR, absolute paths); pass = every check true and no ask/ files. Tools: Read/Write/Edit/Glob/Grep/Bash, web disabled. Single run, no retries. 1-min load average at scoring 0.35 (8 cores). Creative case: looks are not scored; objective checks run in headless google-chrome (800x600, UTC, network blocked, Date mocked). Gallery media (poster.png + clip.mp4) written by the scorer to a fresh MEDIA_DIR per run (media/<run>/), SHA-256 in evidence.media. Scored alone (no other check groups running), single scoring (a browser hold would be re-scored alone once). Time-zone results depend on the system time-zone database: tzdata 2026c-0+deb13u1 (Python zoneinfo). Claude Code's own reported cost for claude-sonnet-5.5: $0.055304. Score: 6/6. Cost is an ESTIMATE: measured tokens x pricing.json list price (Claude Pro subscription, nothing billed); input_tokens include cache reads and writes. Single run.

Estimated cost List-price estimate; not actually billed.

Output

Metrics

Estimated cost
$0.06
Wall time
13s
Human step-ins
0
Turns
3
Model usage
ModelInput tokOutput tokCost
AClaude Sonnet 5.5anthropic/claude-sonnet-5.5effort default (no --effort flag) · thinking on60,1691,597$0.06

Reproduce this run

  1. Use the use case prompt on the use case page.
  2. Same setup: Claude Sonnet 5.5 (anthropic/claude-sonnet-5.5, effort default (no --effort flag) · thinking on) via Claude Code 2.1.299 (headless -p), cloud.
  3. It counts as a success only if it meets every success criterion: self_contained has_canvas_or_svg frames_change drum_angle dryer_status no_console_errors
  4. Log model, tokens, wall time, human step-ins and the evidence log, then submit it as a reproduction. A different model? Submit a head-to-head rerun.

How runs are scored: Methodology.

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Automated checks

Trust 80% comes from these checks (how Trust % works).

Evidence log
[
 {
  "duration_api_ms": 11837,
  "stop_reason": "end_turn",
  "session_id": "[REDACTED]",
  "total_cost_usd": 0.0553043,
  "usage": {
   "input_tokens": 6,
   "cache_creation_input_tokens": 8540,
   "cache_read_input_tokens": 51623,
   "output_tokens": 1597,
   "output_tokens_details": {
    "thinking_tokens": 83
   },
   "server_tool_use": {
    "web_search_requests": 0,
    "web_fetch_requests": 0
   },
   "service_tier": "standard",
   "cache_creation": {
    "ephemeral_1h_input_tokens": 8540,
    "ephemeral_5m_input_tokens": 0
   },
   "inference_geo": "global",
   "iterations": [
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     "input_tokens": 2,
     "output_tokens": 285,
     "cache_read_input_tokens": 19783,
     "cache_creation_input_tokens": 1296,
     "cache_creation": {
      "ephemeral_5m_input_tokens": 0,
      "ephemeral_1h_input_tokens": 1296
     },
     "type": "message"
    }
   ],
   "speed": "standard",
   "fallback_credit": null
  },
  "modelUsage": {
   "claude-sonnet-5-5": {
    "inputTokens": 6,
    "outputTokens": 1597,
    "cacheReadInputTokens": 51623,
    "cacheCreationInputTokens": 8540,
    "webSearchRequests": 0,
    "costUSD": 0.0553043,
    "contextWindow": 1000000,
    "maxOutputTokens": 128000,
    "thinkingTokens": 83,
    "canonicalModel": "claude-sonnet-5-5",
    "provider": "firstParty",
    "costBasis": "list"
   }
  },
  "permission_denials": [],
  "terminal_reason": "completed",
  "fast_mode_state": "off",
  "fast_mode_disabled_reason": "sdk_opt_in_required",
  "subagent_stats": {
   "spawned": 0,
   "requested": {
    "background": 0,
    "foreground": 0,
    "unset": 0
   },
   "started_in_background": 0,
   "max_depth": 0,
   "spawned_by_subagents": 0,
   "completed": 0,
   "failed": 0,
   "killed": {
    "parent": 0,
    "user": 0,
    "system": 0
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   "refused": {
    "depth_limit": 0,
    "concurrency_limit": 0,
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   "by_type": {}
  },
  "safety_stops": 0,
  "is_error": false,
  "num_turns": 3,
  "subtype": "success",
  "api_error_status": null,
  "result": "I wrote `out/scene.html`, but I haven't opened it in a browser or run any of the checks, so it is untested.\n\n- **Scene:** three drums are drawn on one 760x500 canvas, using the x positions, radii and timings from `spec.json`. Each has a few rotating marks so the turn is visible, and a label showing its status.\n- **Angle and status:** these come from one function that works out the exact value from `performance.now()` at the moment of the call. `window.sceneState()` calls it, and so does the drawing loop. So the returned state is the same as what is drawn. Each entry also includes `y` as an extra field.\n- **Constraints:** everything is inline, with no network use or external URLs. The page title is \"Laundromat Dryers 280\".\n\nI assumed each `stop_s` comes after its drum has reached max speed, which holds for all three dryers in this spec.",
  "ttft_ms": 1577,
  "type": "result",
  "duration_ms": 12068,
  "uuid": "[REDACTED]",
  "ttft_stream_ms": 975,
  "time_to_request_ms": 156,
  "first_content_frame_ms": 976,
  "queued_turn_count": 0,
  "result_index": 0
 }
]

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