القائمة
Run the corpus benchmark — booster locally, optional Gemini/Sonnet/Opus baselines — and persist a verifiable measured-vs-claimed table
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
استنادا إلى تصنيف SOC المهني
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/ruvnet/ruflo --skill cost-benchmarkيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
عرض SKILL.md
| name | cost-benchmark |
| description | Run the corpus benchmark — booster locally, optional Gemini/Sonnet/Opus baselines — and persist a verifiable measured-vs-claimed table |
| argument-hint | [--llm] [--anthropic] |
| allowed-tools | Bash |
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.
bench/booster-corpus.json — confirm new cases route correctly.BENCH_ANTHROPIC=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
Inspect the markdown summary printed to stdout. The gate metric is winRate (Tier 1 cases). Adversarial cases are tracked separately as escalationRate.
Persisted output lands at:
docs/benchmarks/runs/latest.json — pointer to the most recent rundocs/benchmarks/runs/<ISO-timestamp>.json — historical recordRead it back in subsequent skills (e.g. cost-report step 2 reads latest.json for live tier-spend numbers).
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 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.
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).
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One-time setup — mint a Cognitum Music personal access token and register the cogmusic MCP server with Claude Code
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