Commit a promptfoo harness (config + arm prompts + LOC metric + vendored caveman SKILL) so anyone can re-run the comparison: no-skill vs caveman vs ponytail, across Haiku / Sonnet / Opus, 10 runs per cell, median reported. Replace the old unreproducible 6-task chart with assets/benchmark-3model.svg from this run, and reframe the README to the reproducible numbers: ponytail writes 80-94% less code, costs 47-77% less, and runs 3-6x faster than a no-skill agent on every model. benchmarks/README.md carries the median tables and the reproduce command. Drops nothing that is not measured. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
48 lines
1.8 KiB
Markdown
48 lines
1.8 KiB
Markdown
# Benchmark
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Three arms (no skill, [caveman](https://github.com/JuliusBrussee/caveman), ponytail), three models, five everyday tasks, **10 runs per cell, median reported**. Code LOC is counted from fenced code blocks; tokens, cost, and latency come straight from the API.
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## Reproduce
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```bash
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cp ../.env.example ../.env # add your ANTHROPIC_API_KEY
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npx promptfoo@latest eval -c promptfooconfig.yaml --repeat 10
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npx promptfoo@latest view
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```
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Tasks: email validator, JS debounce, CSV sum, React countdown, FastAPI rate-limit (see `promptfooconfig.yaml`). Single-shot completions, default temperature.
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## Median results (10 runs, 2026-06-13)
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**Code (lines)**
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| arm | Haiku | Sonnet | Opus |
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|---|--:|--:|--:|
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| baseline (no skill) | 518 | 693 | 256 |
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| caveman | 116 | 120 | 67 |
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| **ponytail** | **39** | **44** | **51** |
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**Cost (USD, 5 tasks)**
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| arm | Haiku | Sonnet | Opus |
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|---|--:|--:|--:|
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| baseline (no skill) | 0.032 | 0.141 | 0.135 |
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| caveman | 0.014 | 0.045 | 0.075 |
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| **ponytail** | **0.010** | **0.032** | **0.071** |
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**Latency (seconds, 5 tasks)**
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| arm | Haiku | Sonnet | Opus |
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|---|--:|--:|--:|
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| baseline (no skill) | 37.7 | 124.1 | 58.7 |
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| caveman | 14.9 | 34.7 | 23.1 |
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| **ponytail** | **9.9** | **20.1** | **18.0** |
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Versus baseline, ponytail writes **80-94% less code**, costs **47-77% less**, and runs **3-6x faster** — on every model.
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## Notes
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- Caveman is a prose-compression skill (it leaves code "normal"), so it lands between baseline and ponytail on code size and wins mainly on prose tokens.
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- Cost reflects single-shot calls that re-send the skill every time. In real sessions the skill is injected once and prompt-cached, so the cost gap widens further in ponytail's favor.
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- These are everyday tasks. For production-grade specs, where an unconstrained agent bloats much harder, see the writeups in `results/`.
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