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Claude Sonnet 5.5 (effort default (no --effort flag) · thinking on) on Implement npm-style semver range matching (caret/tilde/x/hyphen, prerelease rule) from a written spec

AClaude Sonnet 5.5default · thinking on · Claude Code 2.1.299 (headless -p) · cloud · 2026-10-17 · by @bobsiopener

Trust 80%Fully autonomoussuccess · first try
Estimated cost
$0.14
Wall time
52s
Human step-ins
0
Outcome
Pass

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Summary

Exact prompt

# Task: implement semver range matching Implement `compare`, `satisfies` and `max_satisfying` in `semrange.py` following `RANGES.md` exactly (it is a subset of npm's node-semver semantics; prerelease handling is graded). Python standard library only; no third-party packages, no network. Add tests if you want.

Desugaring partial versions with implicit -0 upper bounds, caret on 0.x/0.0.x, hyphen ranges with partial ends, and the same-tuple prerelease rule are classic places where implementations diverge from npm. 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: 1. All 49 hidden unittest cases pass (60 s cap): 46 satisfies() vectors, compare() precedence incl. prerelease ordering and build metadata, ValueError on invalid versions/ranges, max_satisfying() incl. skipping invalid strings and returning the original string.

Setup notes: Use Case Scout batch 5 case e11-semver-ranges (offline fixture). Prepared with batch5/prepare.sh; hidden key/tests kept outside the agent's work dir. Prompt = TASK.md verbatim. Scored with the scout's scorer: `python score.py WORKDIR KEYDIR`. Tools: Read/Write/Edit/Glob/Grep/Bash, web disabled. Single run, no retries. Rescored 2026-10-16 with Scout's fixed scorer (see batch5/CHANGES-2026-10-17.md). The original score was 48/49, and the model's output is unchanged. Claude Code's own reported cost for claude-sonnet-5.5: $0.143781. Score: 49/49. 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
52s
Human step-ins
0
Turns
5
Model usage
ModelInput tokOutput tokCost
AClaude Sonnet 5.5anthropic/claude-sonnet-5.5effort default (no --effort flag) · thinking on116,7937,641$0.14

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, 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: 1. All 49 hidden unittest cases pass (60 s cap): 46 satisfies() vectors, compare() precedence incl. prerelease ordering and build metadata, ValueError on invalid versions/ranges, max_satisfying() incl. skipping invalid strings and returning the original string.
  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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Evidence log
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  "total_cost_usd": 0.14378080000000001,
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   "output_tokens_details": {
    "thinking_tokens": 2122
   },
   "server_tool_use": {
    "web_search_requests": 0,
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   },
   "service_tier": "standard",
   "cache_creation": {
    "ephemeral_1h_input_tokens": 14275,
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     },
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  "modelUsage": {
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    "webSearchRequests": 0,
    "costUSD": 0.14378080000000001,
    "contextWindow": 1000000,
    "maxOutputTokens": 128000,
    "thinkingTokens": 2122,
    "canonicalModel": "claude-sonnet-5-5",
    "provider": "firstParty",
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  },
  "permission_denials": [],
  "terminal_reason": "completed",
  "fast_mode_state": "off",
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  "subagent_stats": {
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  "subtype": "success",
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  "result": "I implemented `compare`, `satisfies` and `max_satisfying` in `semrange.py` following `RANGES.md`. I also added `test_semrange.py`, which covers the examples in the spec plus some edge cases. Pytest isn't installed here, so I ran the tests through a small stand-in for it. The one failure was a wrong expectation in my own test (`>1` does match `2.0.0`), which I fixed, and then everything passed.\n\nThe spec was silent on a few cases, so I chose:\n- **Invalid versions:** `satisfies` and `max_satisfying` raise `ValueError` for an invalid version string, as the spec says for versions generally. npm would skip them instead.\n- **Leading zeros:** versions like `01.2.3` are rejected.\n- **Partial versions with a prerelease:** `1.2-beta` raises `ValueError`.\n- **`>*` and `<*`:** these match nothing.\n- **Equal versions in `max_satisfying`:** if two versions compare equal, such as ones that differ only in build metadata, it returns the first.",
  "ttft_ms": 1722,
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  "uuid": "[REDACTED]",
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 }
]

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