first pass of merging in warp (doesn't build)
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@@ -227,7 +227,7 @@ Once all runs are done:
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2. **Aggregate into benchmark** — run the aggregation script from the skill-creator directory:
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```bash
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python -m scripts.aggregate_benchmark <workspace>/iteration-N --skill-name <name>
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python {{skill_dir}}/scripts/aggregate_benchmark.py <workspace>/iteration-N --skill-name <name>
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```
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This produces `benchmark.json` and `benchmark.md` with pass_rate, time, and tokens for each configuration, with mean ± stddev and the delta. If generating benchmark.json manually, see `references/schemas.md` for the exact schema the viewer expects.
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Put each with_skill version before its baseline counterpart.
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@@ -236,7 +236,7 @@ Put each with_skill version before its baseline counterpart.
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4. **Launch the viewer** with both qualitative outputs and quantitative data:
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```bash
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nohup python <skill-creator-path>/eval-viewer/generate_review.py \
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nohup python {{skill_dir}}/eval-viewer/generate_review.py \
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<workspace>/iteration-N \
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--skill-name "my-skill" \
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--benchmark <workspace>/iteration-N/benchmark.json \
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