What problem does it solve?
Claims about cost savings and routing accuracy are unverifiable without reproducible measurements. This Skill runs a benchmark suite against a structural and adversarial corpus, comparing the local booster against Gemini and Anthropic baselines, and persists a verifiable measured-vs-claimed record.
Core Features & Use Cases
- Corpus Benchmarking: Executes
scripts/bench.mjs against the booster corpus, reporting per-case and summary results with win rate and escalation rate metrics.
- Optional LLM Baselines: Adds Gemini 2.0 Flash via
BENCH_LLM_BASELINE=1 and Sonnet 4.6 / Opus 4.7 via BENCH_ANTHROPIC=1 for cost and quality comparisons.
- Persisted Run History: Writes timestamped JSON results plus a
latest.json pointer to docs/benchmarks/runs/ for downstream skills like cost-report.
- Use Case: Before publishing a release, run the benchmark to confirm the booster win rate stays at or above 0.80 on Tier 1 cases and flip claimed metrics to verified.
Quick Start
Run the cost benchmark from the v3 directory with the booster only, then inspect the printed markdown summary and the persisted results in docs/benchmarks/runs/latest.json.