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Run the full RLE benchmark suite (6 scenarios)
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Full post-run pipeline for RLE benchmark runs — leaderboard analysis vs baseline, failure taxonomy, story mining with verbatim verification, footage indexing, and X-ready video production. Use after any live run or model spread completes.
Run RLE against a live RimWorld colony with dashboard
Show current RLE project status
Run full test suite and lint
Basé sur la classification professionnelle SOC
| name | benchmark |
| description | Run the full RLE benchmark suite (6 scenarios) |
| allowed-tools | Bash, Read |
| argument-hint | --ticks N --smoke-test --docker --runs N --sequential |
Run the RLE benchmark using provider/model from .env. Read .env first to determine the configuration.
# .env has PROVIDER, MODEL, PROVIDER_BASE_URL, OPENAI_API_KEY
source .env 2>/dev/null
python scripts/run_benchmark.py \
--no-think --visualize \
--output results/benchmark-latest/ \
$ARGUMENTS
If .env isn't configured or user specifies a provider, override with CLI flags:
python scripts/run_benchmark.py \
--provider openai \
--model <model> \
--base-url <url> \
--no-think --visualize \
--output results/benchmark-latest/ \
$ARGUMENTS
Key flags:
--smoke-test — Mock RIMAPI (no game needed)--docker — Use headless RimWorld container--runs N — Paired runs for statistical validity (N>=4 for leaderboard)--no-baseline — Skip baseline comparisonWhen complete, show the leaderboard and ask if results should be posted to a GitHub issue.