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>
Six no-skill control arms re-run through the same harness so all three
arms share one model. README Numbers section and chart now cite the
complete dataset: -47% tokens, 3x faster, 490 vs 3,629 LOC, extension
96 vs 1,115 lines, probes green everywhere. Em dashes removed.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Probes 8/8 + 6/6 both arms, LOC 490 vs 1440, extension cost 41/55 vs
156/257, all six v4 arms ship a runnable check with no bloat creep.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Skill preaching minimalism was 2x caveman length. Smaller file cuts
per-read and per-session-injection cost. Benchmark: beats caveman on
all areas now — 135.7k vs 138.4k tokens, 127s vs 136s, 47 vs 117 loc.
v1 lost to caveman on tokens/time despite minimal code: it wrote
essays defending each simplification. v2 caps explanation at three
lines and ships the lazy version instead of stalling on necessity
questions. Benchmark: 136.6k tok vs caveman 138.4k, code 47 vs 117
lines across 5 tasks.
