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Claude Sonnet 5.5 on Run store-operations tasks on a mock e-commerce store

AClaude Sonnet 5.5 · Claude Code 2.1.299 (headless -p) · cloud · 2026-10-14 · by @bobsiopener

Trust 80%Fully autonomoussuccess · first try
Estimated cost
$0.05
Wall time
12s
Human step-ins
0
Outcome
Pass

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Summary

Exact prompt

You are a store-operations agent on a sandboxed mock store. Complete every task in TASKS.md using the files in ./store. Only modify store files where a task says to.

Task prompt given to the agent (headless, offline, synthetic fixture inputs): You are a store-operations agent on a sandboxed mock store. Complete every task in TASKS.md using the files in ./store. Only modify store files where a task says to. Inspired by https://x.com/dee_naliaks/status/2097947201066729536 (unverified; not checked with the author). This is an independent re-run on a reproducible synthetic task; it does not report or reproduce the original post's numbers. Cost shown is a list-price API-equivalent estimate (run on a Claude Pro subscription, not billed).

Success criteria: All automated rubric checks pass: t1 out-of-stock count = 2; t2 = ['P007']; t3 O100 total = 164.70; t4 O102 total = 99.00; t5 allowed and O101 cancelled; t6 not allowed and O100 untouched; t7 restocked P002,P009 to 25; t8 = ana@example.com; no other product changes.

Setup notes: Cost is an ESTIMATE: Claude Code's list-price API-equivalent figure. The run used a Claude Pro subscription, so nothing was billed. input_tokens = all input incl. cache-creation and cache-read tokens; cached_tokens = cache reads (subset of input). Claude Code's cost bills cache writes at the 1h cache-write premium, so it can differ from a flat input-price recompute. Web disabled; tools Read/Write/Edit/Glob/Grep/Bash; single run; scored automatically (9/9 checks).

Estimated cost List-price estimate; not actually billed.

Metrics

Estimated cost
$0.05
Wall time
12s
Human step-ins
0
Turns
4
Model usage
ModelInput tokOutput tokCost
AClaude Sonnet 5.5anthropic/claude-sonnet-5.576,3921,110$0.05

Reproduce this run

  1. Use the use case prompt on the use case page.
  2. Same setup: Claude Sonnet 5.5 (anthropic/claude-sonnet-5.5) via Claude Code 2.1.299 (headless -p), cloud.
  3. It counts as a success only if it meets every success criterion: All automated rubric checks pass: t1 out-of-stock count = 2; t2 = ['P007']; t3 O100 total = 164.70; t4 O102 total = 99.00; t5 allowed and O101 cancelled; t6 not allowed and O100 untouched; t7 restocked P002,P009 to 25; t8 = ana@example.com; no other product changes.
  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

Trust 80% comes from these checks (how Trust % works).

Evidence log
{
 "duration_api_ms": 10735,
 "stop_reason": "end_turn",
 "session_id": "[REDACTED]",
 "total_cost_usd": 0.04950980000000001,
 "usage": {
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  "cache_creation_input_tokens": 7886,
  "cache_read_input_tokens": 68498,
  "output_tokens": 1110,
  "output_tokens_details": {
   "thinking_tokens": 191
  },
  "server_tool_use": {
   "web_search_requests": 0,
   "web_fetch_requests": 0
  },
  "service_tier": "standard",
  "cache_creation": {
   "ephemeral_1h_input_tokens": 7886,
   "ephemeral_5m_input_tokens": 0
  },
  "inference_geo": "global",
  "iterations": [
   {
    "input_tokens": 2,
    "output_tokens": 468,
    "cache_read_input_tokens": 19717,
    "cache_creation_input_tokens": 708,
    "cache_creation": {
     "ephemeral_5m_input_tokens": 0,
     "ephemeral_1h_input_tokens": 708
    },
    "type": "message"
   }
  ],
  "speed": "standard",
  "fallback_credit": null
 },
 "modelUsage": {
  "claude-sonnet-5-5": {
   "inputTokens": 8,
   "outputTokens": 1110,
   "cacheReadInputTokens": 68498,
   "cacheCreationInputTokens": 7886,
   "webSearchRequests": 0,
   "costUSD": 0.04950980000000001,
   "contextWindow": 1000000,
   "maxOutputTokens": 128000,
   "thinkingTokens": 191,
   "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": {
   "depth_limit": 0,
   "concurrency_limit": 0,
   "budget": 0
  },
  "by_type": {}
 },
 "safety_stops": 0,
 "is_error": false,
 "num_turns": 4,
 "subtype": "success",
 "api_error_status": null,
 "result": "I finished all 8 tasks and wrote the answers to `answers.json`. I computed the answers by hand from the store files and did not re-check the edited store files after writing them.\n\n| Task | Answer | Basis |\n|---|---|---|\n| t1 | 2 | P002 and P009 have zero stock. |\n| t2 | `[\"P007\"]` | Only the Running Cap is an in-stock accessory under $30. |\n| t3 | 164.70 | O100 is $183 list, less 10% for gold tier C1. That leaves $164.70, so shipping is free. |\n| t4 | 99.00 | O102 is $91 for standard tier C3, so no discount. It is under $100, so shipping adds $8. |\n| t5 | true | O101 is \"processing\", so it can be cancelled. I set its status to \"cancelled\" in `store/orders.json`. |\n| t6 | false | O100 is \"shipped\", so it can't be cancelled. I left it unchanged. |\n| t7 | `[\"P002\", \"P009\"]` | I set both to stock 25 in `store/products.json`. |\n| t8 | `[REDACTED:email]` | C1 has $432 in non-cancelled orders (O100 $183 plus O103 $249). C2 has $199 and C3 has $91. |\n\nThe edits rewrote `store/orders.json` and `store/products.json` with Python's JSON formatting, so whitespace may differ slightly from the originals.",
 "ttft_ms": 2029,
 "type": "result",
 "duration_ms": 11176,
 "uuid": "[REDACTED]",
 "ttft_stream_ms": 1405,
 "time_to_request_ms": 321,
 "first_content_frame_ms": 1405,
 "queued_turn_count": 0,
 "result_index": 0
}

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