* feat(benchmarks): add correctness assertion - proves less code is not broken code
The existing benchmark measures lines-of-code (loc.js) but never checks
whether the generated code actually works. This adds a functional
correctness gate (correctness.js) that extracts code from fenced blocks
and runs per-task checks:
- email validator: spawns Python, asserts accept/reject on 5 inputs
- debounce: spawns Node, asserts delayed execution + reset on re-call
- csv sum: spawns Python with a test CSV, asserts correct total (351)
- countdown (React): structural check (useState + useEffect + decrement)
- rate limiter (FastAPI): structural check (limit logic + framework usage)
12 unit tests (node:test) cover good/bad outputs for every task plus the
unknown-task edge case. Existing tests and rule-copy checks unaffected.
* fix: address review feedback
- csv check: use regex lookaround instead of substring match to prevent
false positives (e.g. 13510 containing '351')
- ratelimit: fix operator precedence in block finder by adding parens
around the || inside the !b.lang guard
- README: note that React/FastAPI checks are structural only, add
prerequisites section (Python 3, pandas, Node.js 18+)
- test: add regression test for csv substring false positive
Swap em dashes for commas/colons/periods in the README, skills, AGENTS.md and
its five rule copies, examples, command files, and benchmark README. Rule
copies stay in sync (same edit applied to all) and the invariant guard passes.
Left untouched on purpose: the vendored caveman SKILL.md (verbatim third-party
text), the dated benchmark writeups in results/ (historical records), and
.js code comments.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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>
at384