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[ "claude-haiku-5-5" ] }, { "phase": "judge", "case": "content", "mode": "baseline", "draw": 1, "sample": 3, "model": "claude-haiku-5-5", "reported_models": [ "claude-haiku-5-5" ] }, { "phase": "judge", "case": "content", "mode": "baseline", "draw": 1, "sample": 4, "model": "claude-haiku-5-5", "reported_models": [ "claude-haiku-5-5" ] }, { "phase": "generation", "case": "content", "mode": "baseline", "draw": 2, "sample": null, "model": "claude-sonnet-5-5", "reported_models": [ "claude-sonnet-5-5" ] }, { "phase": "judge", "case": "content", "mode": "baseline", "draw": 2, "sample": 0, "model": "claude-haiku-5-5", "reported_models": [ "claude-haiku-5-5" ] }, { "phase": "judge", "case": "content", "mode": "baseline", "draw": 2, "sample": 1, "model": "claude-haiku-5-5", "reported_models": [ "claude-haiku-5-5" ] }, { "phase": "judge", "case": "content", "mode": "baseline", "draw": 2, "sample": 2, "model": "claude-haiku-5-5", "reported_models": [ "claude-haiku-5-5" ] }, { "phase": "judge", "case": "content", "mode": "baseline", "draw": 2, "sample": 3, "model": "claude-haiku-5-5", "reported_models": [ "claude-haiku-5-5" ] }, { "phase": "judge", "case": "content", "mode": "baseline", "draw": 2, "sample": 4, "model": "claude-haiku-5-5", "reported_models": [ "claude-haiku-5-5" ] } ] } }, "counts": { "generations_per_arm": 3 } } ], "aggregates": { "with_skill": { "case_count": 3, "pass_count": 3, "borderline_count": 0, "mean_score": 0.922222, "stddev": 0.078764 }, "baseline": { "case_count": 3, "pass_count": 3, "borderline_count": 0, "mean_score": 0.925, "stddev": 0.058333 }, "band_rule": "per arm: the sample standard deviation (n-1) of the per-case means across the included cases; the comparison band is the quadrature sum of the two arms; null where an arm has fewer than two included cases" } }, "comparison": { "with_skill_score": 0.922222, "baseline_score": 0.925, "delta": -0.002778, "delta_uncertainty": 0.098013 }, "verification_level": "TESTED", "receipt_hash": "05a14c53c635688d45acf8c62836a7d47ded2c60e9b78c4a7edef3a5e5329854", "economics": { "basis": "metered-equivalent", "surface": "claude-cli", "with_skill": { "call_count": 9, "mean_input_tokens": 4872.44, "mean_output_tokens": 1626.56, "mean_cost_usd_per_call": 0.02601, "median_wall_ms": 13313, "wall_ms_p25": 11958.5, "wall_ms_p75": 23319, "wall_ms_iqr": 11360.5 }, "baseline": { "call_count": 10, "mean_input_tokens": 2031.6, "mean_output_tokens": 920.6, "mean_cost_usd_per_call": 0.013269, "median_wall_ms": 10417, "wall_ms_p25": 9213, "wall_ms_p75": 13539, "wall_ms_iqr": 4326 }, "skill_incremental_cost_usd_per_call": 0.012741, "skill_incremental_cost_usd_per_1k_calls": 12.741, "output_tokens_delta": 705.96, "median_wall_ms_delta": 2896, "judge_excluded": true, "judge_overhead": { "note": "Measurement overhead imposed by Driftproof, NOT a cost of running the skill. Excluded from every field above. Counted over every draw sent to the judge, each once: the usage its answered judge samples reported, at the frozen judge price. Retried attempts and samples that reported no usage are not in it.", "total_cost_usd": 0.075215, "case_rows_measured": 6, "judged_draws_counted": 19, "judged_draws_missing_usage": 0 }, "notes": { "absolute_cost": "Absolute per-call cost on a CLI surface includes a fixed harness preamble (observed ~25k input tokens on claude-cli, ~11k on codex) that we do not control. It is identical in the with-skill and baseline arms, so it cancels in the Δ figures — read the incremental columns, not the absolute ones.", "cache_pricing": "Cached input tokens are costed at the list input rate (an over-estimate where caching is heavy); cached_tokens is recorded per call so a reader can recompute.", "latency": "observed on subscription CLI surface, indicative" } } }