Claude Haiku 5.5 (effort default (no --effort flag) · thinking on) on Decode a locksmith's typed key-code cards into cut depths, ticket numbers and dates, with check characters and cutting rules

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

Trust 80%Fully autonomouspartial · 0 retriesCompare

Estimated cost: $0.0047
Wall time: 17s
Human step-ins: 0
Outcome: Partial

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Exact prompt

# Decode a locksmith's typed key-code cards into cut depths, ticket numbers and dates, with check characters and cutting rules Inputs: `cards.csv` (card_id, code) and `systems.csv` (system, min_depth, max_depth, max_step). Each code was typed by hand from a key-code card. The code format below is this shop's own synthetic format; every customer, key and system is invented. These rules are the shop's; where `counter-notes.txt` disagrees, the rules win. Rules: - Normalising: remove every hyphen and space, make letters upper case, then read O as 0 and both I and L as 1. The alphabet is `0123456789ABCDEFGHJKMNPQRSTVWXYZ`; character values are their positions, 0 to 31. A normalised code that is not exactly 11 characters long, or holds a character outside the alphabet, is `malformed`. - Check character: with v1 to v10 the values of the first ten characters, the 11th character's value must equal (1 × v1 + 2 × v2 + ... + 10 × v10) mod 32; otherwise the code is `bad_check`. - Payload: the first ten characters are 50 bits, most significant first, 5 bits per character. From the left: system (6 bits), the six cut depths from cut 1 to cut 6 (3 bits each), master flag (1 bit, 1 = master key), ticket number (13 bits) and cut date (12 bits, the number of days after 2020-01-01). - Cutting rules: a code whose system is not in systems.csv is `unknown_system`; otherwise it is `depth_out_of_range` if any cut depth is below min_depth or above max_depth, then `too_steep` if any two neighbouring cuts differ by more than max_step, and `ok` if none of these apply. Each card gets the first status that applies, in the order malformed, bad_check, unknown_system, depth_out_of_range, too_steep, ok. - Decoded fields: for a card whose status is `malformed` or `bad_check`, system, cuts, master, ticket and cut_date are null. For every other card they are the payload values: cuts as a string of six digits (cut 1 first), master as true or false, cut_date as YYYY-MM-DD. - Write `out/decoded.json`: `{"cards": {"<card_id>": {"status": "<status>", "system": <number or null>, "cuts": "<six digits>" or null, "master": <true/false or null>, "ticket": <number or null>, "cut_date": "<YYYY-MM-DD>" or null}, ...}, "status_counts": {"<status>": <number of cards>, ...}, "master_tickets": [<sorted ticket numbers of the ok cards with the master flag>]}`. `cards` has one entry per row in cards.csv. - Roll-ups: Statuses with no cards are included at 0. ## 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.

Decode a synthetic locksmith's key-code cards. Each code is eleven characters in a stated 32-character alphabet (typed by hand, so letter case, hyphens, spaces and look-alike letters must be normalised by the stated rule), with a weighted check character and a 50-bit payload: system number, six cut depths, a master flag, a ticket number and a cutting date. Each card gets the first status that applies (malformed, bad check, unknown system, depth out of range, cuts too steep, ok) from the key systems table. The prompt says statuses with no cards are listed at 0. Counter notes get the look-alike, check and steepness rules wrong. 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). Why this run failed: it got every card's status and check character right and its status counts were correct, but on several cards it read the master-key flag and the ticket number from the wrong bit positions, so those values came out wrong and the cut-depth and ticket/date checks failed. It passed 3 of 5 checks.

Success criteria: statuses check_characters cut_depths tickets_and_dates status_counts

Setup notes: Batch 41 case tp03-locksmith-key-code-card-decoding (offline, synthetic inputs, seed 2845226679). 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 0.13 (8 cores). 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: $0.00473. Score: 3/5. 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.

Metrics

Estimated cost: $0.0047
Wall time: 17s
Human step-ins: 0
Turns: 3

Model usage
Model	Input tok	Output tok	Cost
AClaude Haiku 5.5anthropic/claude-haiku-5.5effort default (no --effort flag) · thinking on	65,260	3,497	$0.0047

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: statuses check_characters cut_depths tickets_and_dates status_counts
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": 0.00472952,
  "usage": {
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   "cache_creation_input_tokens": 12252,
   "cache_read_input_tokens": 53002,
   "output_tokens": 3497,
   "output_tokens_details": {
    "thinking_tokens": 1312
   },
   "server_tool_use": {
    "web_search_requests": 0,
    "web_fetch_requests": 0
   },
   "service_tier": "standard",
   "cache_creation": {
    "ephemeral_1h_input_tokens": 12252,
    "ephemeral_5m_input_tokens": 0
   },
   "inference_geo": "global",
   "iterations": [
    {
     "input_tokens": 2,
     "output_tokens": 1043,
     "cache_read_input_tokens": 20749,
     "cache_creation_input_tokens": 4042,
     "cache_creation": {
      "ephemeral_5m_input_tokens": 0,
      "ephemeral_1h_input_tokens": 4042
     },
     "type": "message"
    }
   ],
   "speed": "standard",
   "fallback_credit": null
  },
  "modelUsage": {
   "claude-haiku-5-5": {
    "inputTokens": 6,
    "outputTokens": 3497,
    "cacheReadInputTokens": 53002,
    "cacheCreationInputTokens": 12252,
    "webSearchRequests": 0,
    "costUSD": 0.00472952,
    "contextWindow": 1000000,
    "maxOutputTokens": 128000,
    "thinkingTokens": 1312,
    "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,
   "spawned_by_subagents": 0,
   "completed": 0,
   "failed": 0,
   "killed": {
    "parent": 0,
    "user": 0,
    "system": 0
   },
   "refused": {
    "depth_limit": 0,
    "concurrency_limit": 0,
    "budget": 0
   },
   "by_type": {}
  },
  "safety_stops": 0,
  "is_error": false,
  "num_turns": 3,
  "subtype": "success",
  "api_error_status": null,
  "result": "The decoder ran and wrote `out/decoded.json`. I spot-checked the check character by hand on KC-1144 (GATO416DJ5J: weighted sum 498 mod 32 = 18, matching its 11th character), and the malformed cases on KC-1148 (contains U) and KC-1150 (10 characters).\n\n**Results: 22 cards**\n\n| Status | Count |\n|---|---|\n| ok | 16 |\n| malformed | 2 |\n| bad_check | 2 |\n| unknown_system | 1 |\n| too_steep | 1 |\n| depth_out_of_range | 0 |\n\n`master_tickets`: 61, 317, 613, 1040, 1090, 3201, 6494\n\n**Where I followed the rules over `counter-notes.txt`:**\n- **Check character:** the rules use a position-weighted sum (1\u00d7v1 + 2\u00d7v2 + \u2026 + 10\u00d7v10) mod 32. The notes said a plain sum; I used the weighted version.\n- **O/I/L:** the rules read them as 0 and 1 during normalisation, so they are not automatically malformed. The notes said to mark them malformed.\n- **Step limit:** the rules flag only steps *greater* than max_step. The notes said a step equal to max_step is too steep.\n- **Zero-count statuses:** the rules require every status to appear in `status_counts`, including those with zero cards. The notes said to omit them. `depth_out_of_range` is therefore listed at 0.\n\nThe decoding script is at `/tmp/kc/decode.py`, outside the working tree. This directory is not a git repository, so I did not commit anything.",
  "ttft_ms": 1274,
  "type": "result",
  "duration_ms": 16102,
  "uuid": "[REDACTED]",
  "ttft_stream_ms": 1030,
  "time_to_request_ms": 163,
  "first_content_frame_ms": 1031,
  "queued_turn_count": 0,
  "result_index": 0
 }
]