Claude Haiku 5.5 (effort default (no --effort flag) · thinking on) on Animate a metronome that ticks a repeating two-tempo pattern in one self-contained HTML file
AClaude Haiku 5.5default · thinking on · Claude Code 2.1.299 (headless -p) · cloud · 2026-10-23 · by @bobsiopener
- Estimated cost
- $0.01
- Wall time
- 52s
- Human step-ins
- 0
- Outcome
- Pass
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Summary
Exact prompt
# Animate a metronome that ticks a repeating two-tempo pattern in one self-contained HTML file Make a small animated scene: a metronome. 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): `{beats: <integer number of beats completed>, angle_deg: <arm angle, positive to the right>}`. Extra fields are fine. It must describe what is actually drawn. - Time 0 is `performance.now()` 0 (seconds = `performance.now()` / 1000). The tempo follows `pattern` in order: `beats` beats at the first `bpm`, then `beats` beats at the next, then the pattern repeats. A beat lasts 60 / bpm seconds, and the count starts at 0 before the first beat completes. The arm is at +`amplitude_deg` at time 0 and reaches the opposite side at each completed beat. `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. `beat_count`: at every sample `sceneState().beats` equals the number of beats completed since time 0 under spec.json `pattern` (a 30 ms margin either side of a beat is allowed). 5. `arm_follows_beats`: at every sample `angle_deg` is within 4° of `amplitude_deg` × cos(π × b), where b is the fractional number of beats since time 0. 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 metronome 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 (beat count; arm follows beats) 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 beat_count arm_follows_beats no_console_errors
Setup notes: Batch 30 case o08-metronome-tempo-pattern (offline, synthetic inputs, seed 2312564). 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 0.67 (8 cores). Creative case: looks are not scored; objective checks run in headless google-chrome (800x600, UTC, network blocked, Date mocked). Gallery media (3 s capture: poster.png + clip.mp4) written by the scorer to a fresh MEDIA_DIR per run (media/<run>/), SHA-256 in evidence.media; a single failed scene check is rescored once (both recorded in 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: $0.010948. 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
- $0.01
- Wall time
- 52s
- Human step-ins
- 0
- Turns
- 9
| Model | Input tok | Output tok | Cost |
|---|---|---|---|
| AClaude Haiku 5.5anthropic/claude-haiku-5.5effort default (no --effort flag) · thinking on | 236,467 | 9,890 | $0.01 |
Reproduce this run
- Use the use case prompt on the use case page.
- 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. - It counts as a success only if it meets every success criterion: self_contained has_canvas_or_svg frames_change beat_count arm_follows_beats no_console_errors
- 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).
- Run date is not in the future : passed
- Model is in the dated pricing table : passed
- Cost recomputed from tokens matches : passed
- Cached tokens are consistent : passed
- Output throughput is plausible : passed
- Autonomy matches step-ins : passed
- Step-ins do not exceed turns : passed
- Retries agree with first-try result : passed
- Evidence log SHA-256 matches : passed
- Evidence log is substantial : passed
Evidence log
[
{
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"stop_reason": "end_turn",
"session_id": "[REDACTED]",
"total_cost_usd": 0.01094751,
"usage": {
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"cache_creation_input_tokens": 19138,
"cache_read_input_tokens": 217311,
"output_tokens": 9890,
"output_tokens_details": {
"thinking_tokens": 3688
},
"server_tool_use": {
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"web_fetch_requests": 0
},
"service_tier": "standard",
"cache_creation": {
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"ephemeral_5m_input_tokens": 0
},
"inference_geo": "global",
"iterations": [
{
"input_tokens": 2,
"output_tokens": 777,
"cache_read_input_tokens": 30542,
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"cache_creation": {
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},
"type": "message"
}
],
"speed": "standard",
"fallback_credit": null
},
"modelUsage": {
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"outputTokens": 9890,
"cacheReadInputTokens": 217311,
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"webSearchRequests": 0,
"costUSD": 0.01094751,
"contextWindow": 1000000,
"maxOutputTokens": 128000,
"thinkingTokens": 3688,
"canonicalModel": "claude-haiku-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,
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"killed": {
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"refused": {
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"by_type": {}
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"safety_stops": 0,
"is_error": false,
"num_turns": 9,
"subtype": "success",
"api_error_status": null,
"result": "I wrote `out/scene.html`, a self-contained metronome scene for \"Metronome 833\" (640x400 stage, 35\u00b0 amplitude, pattern 3 beats at 210 bpm then 4 beats at 240 bpm).\n\nI checked it in headless Chrome with a copy of the page that samples `sceneState()` every ~7 ms for 3 s. The copy compared the output against an independently computed beat schedule:\n\n- **Beat count:** 0 mismatches across 427 samples, with the 30 ms margin applied.\n- **Arm angle:** maximum deviation about 2e-13\u00b0, against the 4\u00b0 allowance.\n- **Errors:** no page errors or `console.error` calls. The only stderr noise was Chrome's own D-Bus messages.\n- **Size and URLs:** the file is 4,922 bytes, with no http(s) or protocol-relative URLs.\n\nI did not run a screenshot-based check for `frames_change`. The arm moves on every `requestAnimationFrame`, so consecutive frames should differ well above the 0.1% threshold, but that is unverified.\n\nChoices I made:\n- `sceneState()` recomputes the state from `performance.now()` at call time rather than returning the last drawn frame. At 35\u00b0 amplitude and 210 bpm the arm moves about 6\u00b0 per 16 ms frame, so a stale frame could miss the 4\u00b0 tolerance.\n- Extra fields `time_s`, `width` and `height` are included in the state object, which the spec allows.\n- JS line comments were converted to block comments so no `//` sequence appears outside the code.\n\nThe test harness lives in `/tmp/scenetest/`, not under `out/`. The work directory is not a git repository, so I made no commit.",
"ttft_ms": 1550,
"type": "result",
"duration_ms": 51784,
"uuid": "[REDACTED]",
"ttft_stream_ms": 1469,
"time_to_request_ms": 259,
"first_content_frame_ms": 1469,
"queued_turn_count": 0,
"result_index": 0
}
]