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AI/MLruvnet

cost-benchmark

Run the corpus benchmark — booster locally, optional Gemini/Sonnet/Opus baselines — and persist a verifiable measured-vs-claimed table

Stars
56,726
Source
ruvnet/claude-flow
Updated
2026-05-31
Slug
ruvnet--claude-flow--cost-benchmark
View on GitHubRaw SKILL.md

// install — copy + paste into any project

mkdir -p .claude/skills && curl -fsSL https://raw.githubusercontent.com/ruvnet/claude-flow/HEAD/plugins/ruflo-cost-tracker/skills/cost-benchmark/SKILL.md -o .claude/skills/cost-benchmark.md

Drops the SKILL.md into .claude/skills/cost-benchmark.md. Works with Claude Code, Cursor, and any agent that loads SKILL.md files from .claude/skills/.

Cost Benchmark

Runs scripts/bench.mjs against the structural+adversarial corpus and writes per-case + summary results to docs/benchmarks/runs/. This is the verification gate that backs every measurable claim in cost-booster-edit / cost-booster-route.

When to use

  • Before publishing a release — verify booster win rate didn't regress.
  • After expanding bench/booster-corpus.json — confirm new cases route correctly.
  • When auditing a "claimed upstream" tag — flip it to "verified" once the bench supports it.
  • On a cost question ("is Sonnet 4.6 cheaper than Opus 4.7 for these tasks?") — re-run with BENCH_ANTHROPIC=1.

Steps

  1. Run the bench from v3/ (where agent-booster resolves):

    ( cd v3 && node ../plugins/ruflo-cost-tracker/scripts/bench.mjs )                  # booster only — free, ~85 ms
( cd v3 && BENCH_LLM_BASELINE=1 node ../plugins/ruflo-cost-tracker/scripts/bench.mjs ) # + Gemini 2.0 Flash (cheap)
( cd v3 && BENCH_LLM_BASELINE=1 BENCH_ANTHROPIC=1 \
     node ../plugins/ruflo-cost-tracker/scripts/bench.mjs )                          # + Sonnet 4.6 + Opus 4.7

  2. Inspect the markdown summary printed to stdout. The gate metric is winRate (Tier 1 cases). Adversarial cases are tracked separately as escalationRate.

  3. Persisted output lands at:

    • docs/benchmarks/runs/latest.json — pointer to the most recent run
    • docs/benchmarks/runs/<ISO-timestamp>.json — historical record

  4. Read it back in subsequent skills (e.g. cost-report step 2 reads latest.json for live tier-spend numbers).

Smoke gates

  • winRate ≥ 0.80 on Tier 1 cases (smoke step 23). Lower the threshold by editing scripts/smoke.sh.
  • escalationRate is reported but ungated — adversarial cases are diagnostic.

Env overrides

Env var Default Purpose
BENCH_LLM_BASELINE unset =1 runs the OpenAI-compat baseline
BENCH_LLM_MODEL models/gemini-2.0-flash Override the OpenAI-compat model
BENCH_LLM_BASE_URL Gemini OpenAI shim Override endpoint
BENCH_ANTHROPIC unset =1 runs Anthropic baseline (Sonnet 4.6 + Opus 4.7)
BENCH_ANTHROPIC_MODELS claude-sonnet-4-6,claude-opus-4-7 Comma-separated Claude IDs
BENCH_OUT timestamped file Override output path
BENCH_QUIET=1 unset Suppress markdown summary

API keys auto-pulled from gcloud secrets (GOOGLE_AI_API_KEY, ANTHROPIC_API_KEY); override with BENCH_LLM_API_KEY / BENCH_ANTHROPIC_API_KEY.

Cross-references

ADR-0002 §"Decision 1" / §"Riskiest assumption" · cost-booster-edit/SKILL.md (verification table consumes this skill's output) · cost-report/SKILL.md step 2 (reads runs/latest.json).