Claude Haiku 5.5 (effort default (no --effort flag) · thinking on) on Text World Cup final scores to a Signal group

AClaude Haiku 5.5default · thinking on · Claude Code 2.1.299 (headless -p) · cloud · 2026-10-16 · by @bobsiopener

Trust 80%Fully autonomoussuccess · first tryCompare

Estimated cost: $0.0042
Wall time: 15s
Human step-ins: 0
Outcome: Pass

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Exact prompt

Sandboxed mock (no real messaging). feed/poll_00.json .. poll_05.json are successive snapshots of a mock ESPN scoreboard, one per 30-minute poll. Write notifier.py that processes the polls in order (simulating each poll) and sends every match's final result exactly once to the Signal group "wc-friends" using: python3 signal_send.py wc-friends "<text>" (text format: "FINAL: <match> <score>"). A match counts as final when status starts with "final". Keep state so repeated polls never resend. Run it once over all polls, then run it again to prove no duplicates are sent.

Task prompt given to the agent (headless, offline, synthetic fixture inputs): Sandboxed mock (no real messaging). feed/poll_00.json .. poll_05.json are successive snapshots of a mock ESPN scoreboard, one per 30-minute poll. Write notifier.py that processes the polls in order (simulating each poll) and sends every match's final result exactly once to the Signal group "wc-friends" using: python3 signal_send.py wc-friends "<text>" (text format: "FINAL: <match> <score>"). A match counts as final when status starts with "final". Keep state so repeated polls never resend. Run it once over all polls, then run it again to prove no duplicates are sent. Inspired by https://agentusecases.ai (listing: 'Text every World Cup final score to a friends' Signal group', github.com source) (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: exactly 3 messages (no duplicates after rerun); messages match expected text and order; all to wc-friends; notifier.py exists.

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 (4/4 checks).

Estimated cost List-price estimate; not actually billed.

Metrics

Estimated cost: $0.0042
Wall time: 15s
Human step-ins: 0
Turns: 4

Model usage
Model	Input tok	Output tok	Cost
AClaude Haiku 5.5anthropic/claude-haiku-5.5effort default (no --effort flag) · thinking on	62,422	3,080	$0.0042

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: All automated rubric checks pass: exactly 3 messages (no duplicates after rerun); messages match expected text and order; all to wc-friends; notifier.py exists.
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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    "type": "message"
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  "fallback_credit": null
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 "modelUsage": {
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   "contextWindow": 1000000,
   "maxOutputTokens": 128000,
   "thinkingTokens": 971,
   "canonicalModel": "claude-haiku-5-5",
   "provider": "firstParty",
   "costBasis": "list"
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 },
 "permission_denials": [],
 "terminal_reason": "completed",
 "fast_mode_state": "off",
 "fast_mode_disabled_reason": "sdk_opt_in_required",
 "subagent_stats": {
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 "safety_stops": 0,
 "is_error": false,
 "num_turns": 4,
 "subtype": "success",
 "api_error_status": null,
 "result": "`notifier.py` is written and tested. Across all six polls it sent three messages to `wc-friends`, one per match, and the second run sent nothing.\n\nMessages sent (recorded in `outbox.jsonl`, since `signal_send.py` is a mock that appends there):\n- `FINAL: ARG vs FRA 2-1` (first seen final in poll_01)\n- `FINAL: BRA vs ENG 2-1` (first seen final in poll_03)\n- `FINAL: ESP vs GER 1-1 (4-3 pens)` (first seen final in poll_04, status `final_pens`)\n\nRun 1 sent 3 messages and run 2 sent 0, so there are no duplicates. The outbox has exactly 3 lines.\n\nHow it works:\n- Polls are processed in filename order, one at a time. A match counts as final when its status starts with `final`, which covers `final_pens`.\n- Sent matches are recorded in `notifier_state.json` by match name. A match is recorded only after `signal_send.py` exits successfully, so a failed send is retried on the next poll.\n- Both scripts run with `python3 -I`, and the feed files are only read as data.\n\nChoices I made that you may want to change:\n- The dedup key is the match name, so a later score correction for an already-announced match would not be re-sent.\n- I deleted any existing `outbox.jsonl` and `notifier_state.json` before the first run. Neither existed at the start.\n\nFiles are in `./usecase-runner/runs/23-haiku/work/`: `notifier.py`, `notifier_state.json`, and `outbox.jsonl`.",
 "ttft_ms": 1598,
 "type": "result",
 "duration_ms": 14489,
 "uuid": "[REDACTED]",
 "ttft_stream_ms": 1074,
 "time_to_request_ms": 221,
 "first_content_frame_ms": 1075,
 "queued_turn_count": 0,
 "result_index": 0
}