Claude Sonnet 5.5 (effort default (no --effort flag) · thinking on) on Total a small coffee roastery's week by origin, profile and lot after re-weighs and a roast-loss rule

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

Trust 80%Fully autonomoussuccess · first tryCompare

Estimated cost: $0.05
Wall time: 12s
Human step-ins: 0
Outcome: Pass

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Exact prompt

# Total a small coffee roastery's week by origin, profile and lot after re-weighs and a roast-loss rule Inputs: `lots.csv` (lot_id, origin, green_kg), `roasts.csv` (batch_id, date, lot_id, profile, green_kg, roasted_kg), `reweighs.csv` (batch_id, roasted_kg) and `period.json` (period_start, period_end, both dates included). The week's records are synthetic: every lot, origin label and batch is invented, and the loss limit and bag size below are this roastery's own house rules. These rules are the roastery's; where `roaster-notes.txt` disagrees, the rules win. Rules: - Re-weighs: a row in reweighs.csv replaces the roasted_kg of the batch it names. When a batch has several re-weigh rows, the last one in the file counts. - Roast loss: a batch's loss is (green_kg − roasted_kg) ÷ green_kg × 100, in percent. A batch whose loss is above 18 is scorched and goes to cold brew; at 18 or below its roasted coffee is sellable. - Origins: a batch counts under the origin of its lot (several lots can share an origin). - Bags: bags are 250 g. For each profile, bags is the number of whole 250 g bags that profile's total sellable roasted coffee fills (round down once per profile, not per batch). - Green stock: a lot's green_left_kg is its green_kg minus the green_kg of every batch roasted from it, scorched batches included. - Roast days: a day's roasted_kg is the total roasted_kg of the batches roasted that day, scorched batches included. - Write `out/roastery.json`: `{"scorched_batches": [<sorted batch_ids>], "sellable_kg_by_origin": {"<origin>": <kg>, ...}, "bags_by_profile": {"<profile>": <whole number>, ...}, "green_left_kg_by_lot": {"<lot_id>": <kg>, ...}, "roasted_kg_by_day": {"<YYYY-MM-DD>": <kg>, ...}}`. `green_left_kg_by_lot` has one entry per row in lots.csv. - Roll-ups: Origins in lots.csv with no sellable coffee are left out. Profiles with no sellable coffee are left out. Days in the period with no roasts 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.

Work out a synthetic coffee roastery's week from its roast log. Re-weigh rows replace a batch's roasted weight, and when a batch has several the last one counts. A batch that lost more than a stated share of its green weight is scorched and goes to cold brew. Report the scorched batches, sellable coffee per origin, whole 250 g bags per profile (rounded down once per profile), green coffee left per lot and roasted weight per day. One roll-up prompt mixes both kinds of wording: origins and profiles with no sellable coffee are left out, while days with no roasts are listed at 0. A batch at exactly the loss limit and a batch re-weighed out of the scorched range are decoys. Roaster's notes get the loss, re-weigh, bag and roll-up 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).

Success criteria: scorched_batches sellable_by_origin bags_by_profile green_left_by_lot roasted_by_day

Setup notes: Batch 42 case tu02-coffee-roastery-batch-yield-ledger (offline, synthetic inputs, seed 3238119216). 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 0.45 (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-sonnet-5.5: $0.054237. Score: 5/5. 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: $0.05
Wall time: 12s
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	59,790	1,482	$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: scorched_batches sellable_by_origin bags_by_profile green_left_by_lot roasted_by_day
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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  "result": "I wrote `out/roastery.json` from the five input files, applying the rules in the task. I didn't run any separate checks on it.\n\n- **Scorched batches:** RB-791, RB-792 and RB-797.\n- **Sellable coffee by origin:** Amber Slope 95.79 kg, Highland Ridge 30.76 kg, Fern Gully 25.22 kg. Red Valley is left out because none of its coffee was sellable.\n- **Bags by profile:** medium 189, espresso 226, light 191. Dark is left out because both dark batches were scorched.\n- **Green stock left:** GL-51 0.0 kg, GL-57 4.0 kg, GL-63 42.0 kg, GL-69 41.5 kg, GL-75 24.5 kg, GL-81 52.0 kg.\n- **Roasted kg by day:** 07-01 38.28, 07-02 0, 07-03 18.88, 07-04 54.66, 07-05 0, 07-06 43.43, 07-07 22.96.\n\nWhere `roaster-notes.txt` disagreed with the task rules, I followed the rules:\n- RB-801 has two re-weighs, and I used the last one (9.58 kg), not the first.\n- A loss of exactly 18% still counts as sellable.\n- Bags are rounded down once per profile, not per batch.\n- Origins with no sellable coffee are left out.\n- Days with no roasts are included at 0.",
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