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Claude Haiku 5.5 (effort default (no --effort flag) · thinking on) on Animate a plumbing firm's cistern flush and refill cycle in one self-contained HTML file

AClaude Haiku 5.5default · thinking on · Claude Code 2.1.299 (headless -p) · cloud · 2026-10-25 · by @bobsiopener

Trust 80%Fully autonomoussuccess · first try
Estimated cost
$0.0084
Wall time
42s
Human step-ins
0
Outcome
Pass

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Summary

Exact prompt

# Animate a plumbing firm's cistern flush and refill cycle in one self-contained HTML file Make a small animated scene: a cistern flush and refill. 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): `{cisterns: [{name, x, y, level, status: "full" | "draining" | "refilling"}, ...]} (canvas px, y down; one entry per spec.json cistern; x = the cistern's centre; level = the water height in px; y = the water surface, base_y − level)`. Extra fields are fine. It must describe what is actually drawn. - Time 0 is `performance.now()` 0 (seconds = `performance.now()` / 1000). Each cistern is full (level `full_px`) until its own `flush_s`; it then drains at a steady rate to level 0 over `drain_s`; it then refills over `refill_s` with the float valve slowing it down: level = `full_px` × (1 − (1 − u)²), where u = (time − flush_s − drain_s) ÷ refill_s; after that it stays full. The surface y is `base_y` − level. Draw each cistern and its water. `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. `water_level`: at every sample more than 0.05 s from a cistern flushing, emptying or finishing its refill, each cistern's x is within 1.5 px of its spec.json `x`, and its level and surface y are within 1.5 px of the exact values: `full_px` while full, falling linearly to 0 over `drain_s` from `flush_s`, then refilling as full_px × (1 − (1 − u)²) with u = time since emptying ÷ `refill_s`, then `full_px` again. 5. `cistern_status`: at those samples each cistern's `status` is full before `flush_s`, draining for `drain_s`, refilling for `refill_s`, then full; the samples include all three statuses. 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 cistern flush and refill 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 (water level; cistern 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 water_level cistern_status no_console_errors

Setup notes: Batch 39 case tk07-cistern-refill-animation (offline, synthetic inputs, seed 1210029240). 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 0.16 (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, no rescore. Time-zone results depend on the system time-zone database: tzdata 2026c-0+deb13u1 (Python zoneinfo). Claude Code's own reported cost for claude-haiku-5.5: $0.008449. 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
$0.0084
Wall time
42s
Human step-ins
0
Turns
7
Model usage
ModelInput tokOutput tokCost
AClaude Haiku 5.5anthropic/claude-haiku-5.5effort default (no --effort flag) · thinking on175,8237,007$0.0084

Reproduce this run

  1. Use the use case prompt on the use case page.
  2. Same setup: Claude Haiku 5.5 (anthropic/claude-haiku-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 water_level cistern_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

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Evidence log
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   "output_tokens_details": {
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   "server_tool_use": {
    "web_search_requests": 0,
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    "canonicalModel": "claude-haiku-5-5",
    "provider": "firstParty",
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  },
  "permission_denials": [],
  "terminal_reason": "completed",
  "fast_mode_state": "off",
  "fast_mode_disabled_reason": "sdk_opt_in_required",
  "subagent_stats": {
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  "subtype": "success",
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  "result": "I wrote `out/scene.html`, a self-contained 4.7 KB page that animates the three cisterns from `spec.json`. A headless Chrome smoke test returned `sceneState()` values that match the formulas.\n\n- **Stage:** one 700\u00d7450 canvas, with `<title>` set to \"Cistern Refill 297\".\n- **Parameters:** copied from `spec.json` into the script, because `fetch` would fail when the page is opened from disk.\n- **Timing:** time is `performance.now()/1000`. Each cistern stays full until `flush_s`, drains linearly over `drain_s`, then refills with `full_px \u00d7 (1 \u2212 (1 \u2212 u)\u00b2)` over `refill_s`, and stays full afterwards.\n- **`window.sceneState()`:** recomputes the state at call time and returns `{time, cisterns: [{name, x, y, level, status}]}`, with `y = base_y \u2212 level`.\n- **Animation:** `requestAnimationFrame` plus a 50 ms timer fallback.\n- **Network:** no external resources. The only URL-like text is a `data:` favicon, which avoids a favicon request.\n\nThe headless check at t\u22482.02 s gave levels of 17.2, 100 and 23.6 px for the three cisterns. Those match the hand-computed values, and the statuses were refilling, full and refilling. The run logged no console errors. I did not run the full grader (screenshot diffing, the 30-sample sweep, or the network check).",
  "ttft_ms": 1197,
  "type": "result",
  "duration_ms": 41322,
  "uuid": "[REDACTED]",
  "ttft_stream_ms": 1076,
  "time_to_request_ms": 156,
  "first_content_frame_ms": 1076,
  "queued_turn_count": 0,
  "result_index": 0
 }
]

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