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Claude Opus 5.5 (effort default (no --effort flag) · thinking on) on Value a cash-and-carry's month-end stock on FIFO with case units, same-day ordering, supplier returns and write-downs

AClaude Opus 5.5default · thinking on · Claude Code 2.1.299 (headless -p) · cloud · 2026-10-23 · by @bobsiopener

Trust 80%Fully autonomoussuccess · first try
Estimated cost
$0.14
Wall time
20s
Human step-ins
0
Outcome
Pass

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Summary

Exact prompt

# Value a cash-and-carry's stock at month end on first-in, first-out Inputs: `movements.csv` (line, date, sku, type, qty, unit, unit_cost), `items.json` (per sku: case_size, nrv_each) and `stock-note.txt`. Amounts are in pounds. `items.json` and these rules are the record; where the stock note disagrees, the rules win. Rules: - A qty with unit case is qty x case_size single units, whatever the movement type; a receipt's unit_cost is per unit given (per case for case receipts). - Process movements by date; on the same date, receipts come first, then supplier returns, then issues, then adjustments (ties by line). - Each receipt is a cost layer. Issues and negative adjustments use up the oldest layers first; only issues count toward cost of goods sold. - A supplier return takes units back out of the newest layer first. A positive adjustment adds a layer at the newest layer's unit cost. - At month end, if a sku's remaining cost is more than its units x nrv_each, it is written down to that amount; the write-down is the difference. - Write `out/stock.json`: `{"closing_qty": {"<sku>": <units>, ...}, "closing_value": {"<sku>": <value after any write-down>, ...}, "writedowns": {"<sku>": <amount>, ...}, "cogs": {"<sku>": <cost of goods sold>, ...}, "total_value": <sum of closing_value>}` with every sku in each map except `writedowns` (only amounts above 0); round each money figure half-up to 0.01 once, at the end. ## 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.

Value each product's closing stock and cost of goods sold from a month of movements on first-in, first-out. Quantities come in cases and singles, receipts and issues share dates and appear out of order in the file, supplier returns come back out of the newest layer, stock-take adjustments add or remove units, and some products must be written down to net realisable value. A stock note gets the unit, return and write-down 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: units fifo_cogs same_day_and_returns writedowns totals

Setup notes: Batch 31 case ta02-fifo-stock-valuation (offline, synthetic inputs, seed 665518420). 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 0.44 (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-opus-5.5: $0.141822. 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
$0.14
Wall time
20s
Human step-ins
0
Turns
3
Model usage
ModelInput tokOutput tokCost
AClaude Opus 5.5anthropic/claude-opus-5.5effort default (no --effort flag) · thinking on61,5572,021$0.14

Reproduce this run

  1. Use the use case prompt on the use case page.
  2. Same setup: Claude Opus 5.5 (anthropic/claude-opus-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: units fifo_cogs same_day_and_returns writedowns totals
  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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  "result": "I've written `out/stock.json` with the month-end FIFO valuation. No sku ever ran short: no issue, return or negative adjustment took more units than were in stock. I checked the result by reading the step-by-step trace, not against an independent answer.\n\n| SKU | Closing units | Closing value (\u00a3) | Write-down (\u00a3) | Cost of goods sold (\u00a3) |\n|---|---|---|---|---|\n| BEANS-400 | 121 | 363.43 | \u2013 | 386.98 |\n| RICE-2KG | 40 | 31.53 | \u2013 | 180.78 |\n| TEA-80 | 62 | 123.38 | 21.70 | 438.03 |\n| PASTA-500 | 60 | 25.20 | \u2013 | 92.19 |\n\n**Total stock value: \u00a3543.54.**\n\nTEA-80 is the only sku written down: its 62 units are worth 62 \u00d7 \u00a31.99 = \u00a3123.38, below their cost.\n\nWhere the stock note disagreed with the rules, I followed the rules:\n- **Case quantities:** I converted case quantities to single units (case size 24) on every movement type, not only on deliveries. So issues, returns and adjustments given in cases count as 24 units each.\n- **Supplier returns:** these come off the newest stock, not the oldest.\n- **Write-downs:** these are included, not left out.\n\nReceipt costs given per case are divided by 24 to get a cost per unit. I kept full precision throughout and rounded each money figure half-up to the penny only at the end. The script is at `/tmp/fifo/run.py`, outside the work folder.",
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]

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