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benchmark
Run the full RLE benchmark suite (6 scenarios)
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Run the full RLE benchmark suite (6 scenarios)
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
| 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.
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