Claude Sonnet 5.5 (effort default (no --effort flag) · thinking on) on Animate an online order's parcel moving along its delivery route with depot stops in one self-contained HTML file

AClaude Sonnet 5.5default · thinking on · Claude Code 2.1.299 (headless -p) · cloud · 2026-10-24 · by @bobsiopener

Trust 80%Fully autonomoussuccess · first tryCompare

Estimated cost: $0.05
Wall time: 13s
Human step-ins: 0
Outcome: Pass

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Exact prompt

# Animate an online order's parcel moving along its delivery route with depot stops in one self-contained HTML file Make a small animated scene: a parcel delivery tracker. 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): `{parcel: {x, y}, status: "in_transit" | "at <stop name>" | "delivered"} (canvas px, y down)`. Extra fields are fine. It must describe what is actually drawn. - Time 0 is `performance.now()` 0 (seconds = `performance.now()` / 1000): the parcel leaves the first stop at time 0. Leg i runs from stops[i] to stops[i + 1] at leg_speeds_px_s[i]; after legs that end at an intermediate stop it waits dwell_s[i] seconds there before leaving. It stays at the last stop once it arrives. Draw the route, the stops and the parcel. `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. `route_position`: at every sample, the parcel is within 1.5 px of its exact position on the route: straight legs between consecutive `stops` at each leg's `leg_speeds_px_s`, waiting `dwell_s` at each intermediate stop. 5. `tracking_status`: at every sample more than 0.05 s from an arrival or departure, `status` is in_transit while moving, at <stop name> while waiting at an intermediate stop, and delivered after reaching the last stop; at least one sample falls inside a stop. 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 parcel delivery tracker 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 (route position; tracking 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 route_position tracking_status no_console_errors

Setup notes: Batch 34 case tq07-parcel-tracking-animation (offline, synthetic inputs, seed 35464324). 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 0.30 (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-sonnet-5.5: $0.051955. 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: $0.05
Wall time: 13s
Human step-ins: 0
Turns: 3

Model usage
Model	Input tok	Output tok	Cost
AClaude Sonnet 5.5anthropic/claude-sonnet-5.5effort default (no --effort flag) · thinking on	58,750	1,536	$0.05

Reproduce this run

Use the use case prompt on the use case page.
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.
It counts as a success only if it meets every success criterion: self_contained has_canvas_or_svg frames_change route_position tracking_status 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",
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   "cache_read_input_tokens": 50870,
   "output_tokens": 1536,
   "output_tokens_details": {
    "thinking_tokens": 113
   },
   "server_tool_use": {
    "web_search_requests": 0,
    "web_fetch_requests": 0
   },
   "service_tier": "standard",
   "cache_creation": {
    "ephemeral_1h_input_tokens": 7874,
    "ephemeral_5m_input_tokens": 0
   },
   "inference_geo": "global",
   "iterations": [
    {
     "input_tokens": 2,
     "output_tokens": 448,
     "cache_read_input_tokens": 19341,
     "cache_creation_input_tokens": 1072,
     "cache_creation": {
      "ephemeral_5m_input_tokens": 0,
      "ephemeral_1h_input_tokens": 1072
     },
     "type": "message"
    }
   ],
   "speed": "standard",
   "fallback_credit": null
  },
  "modelUsage": {
   "claude-sonnet-5-5": {
    "inputTokens": 6,
    "outputTokens": 1536,
    "cacheReadInputTokens": 50870,
    "cacheCreationInputTokens": 7874,
    "webSearchRequests": 0,
    "costUSD": 0.051955,
    "contextWindow": 1000000,
    "maxOutputTokens": 128000,
    "thinkingTokens": 113,
    "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
   },
   "refused": {
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    "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 six checks.\n\n- **Route and timing:** The route data from `spec.json` is embedded in the file. The parcel's position and status are computed from `performance.now()` each time `window.sceneState()` is called, so they match the moment of the call. The same function drives the drawing. Legs run at their speeds, with the specified waits at the two intermediate stops. The parcel stays at the last stop once it arrives.\n- **Status values:** The status is `in_transit` while moving, `at <stop name>` during a wait, and `delivered` after the last stop.\n- **Animation:** A canvas of 720x480 redraws every frame with `requestAnimationFrame`. It shows the route line, the stops with labels, the parcel as a square, and the current status as text. The whole trip takes about 6.7 seconds, so it is still moving through the 3-second screenshot window.\n- **Self-containment:** The file is a single inline HTML page with no external URLs, scripts, fonts or images. The page title is \"Parcel Tracker 251\". I didn't check the file size, but it is a few kilobytes.",
  "ttft_ms": 1534,
  "type": "result",
  "duration_ms": 11896,
  "uuid": "[REDACTED]",
  "ttft_stream_ms": 924,
  "time_to_request_ms": 202,
  "first_content_frame_ms": 924,
  "queued_turn_count": 0,
  "result_index": 0
 }
]