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Author SHA1 Message Date
9b40d9f4e5 feat: add regression arm and two verdicts (task 0005)
Turn a benchmark run into a three-arm experiment: alongside the new-skill
and no-skill arms, add a previous-version arm materialized from the
default branch's HEAD, drawn automatically whenever the skill's directory
differs from HEAD and degrading to the two-arm efficacy-only shape
otherwise. Two blind head-to-heads now fall out per trial — efficacy
(new-vs-no-skill) and regression (new-vs-old).

The deterministic core dispatches a pass rule per comparison (efficacy at
wins>=3 and losses<=1, regression at losses<=1 with no wins floor),
gates only Efficacy on the hard assertion, and yields a second
skill-level Regression verdict, green when no case regressed and
not-applicable on a two-arm run. The report gains a second badge, a
headline reading both verdicts together, a previous-version cost row with
a two-ratio footnote, and per-case side-by-side comparisons that
auto-expand on any failure or flagged loss to show the losing-trial
output pair.

The fixture test covers both shapes in one test: a three-arm run
asserting per-arm metrics, both per-case and skill-level verdicts, the
net margins, the three-row cost table and losing-trial evidence, and the
two-arm run retained as the degenerate no-previous-version case.
2026-07-24 15:23:10 -04:00
e35ed9d05b feat: add efficacy-benchmark tracer bullet (task 0004)
Introduce the thinnest complete path that benchmarks a skill's efficacy
against a no-skill baseline and renders an HTML report.

- tests/ convention: a top-level tree mirroring skills/ by full path, with
  case directories holding a case.md (CASE-FORMAT.md) and an optional fixture.
- benchmark-skill: a distributed, non-model-invocable runner (/benchmark-skill
  <name>) that orchestrates force-invoked new-skill and skill-absent baseline
  arms plus a blind per-trial judge as in-session subagents.
- Deterministic core (Python): a pure transform over the collected run data
  that sums per-arm usage, collapses each trial to WIN/TIE/LOSS, applies the
  efficacy pass rule (wins >= 3, losses <= 1), and renders a self-contained
  report. Parameterized over arms and comparisons; two-arm here.
- Fixture-driven no-LLM check (checks/benchmark-core.nix) wired into flake.nix.
- Real tests tree for axi-review; a live run produced its efficacy report.
2026-07-24 08:55:55 -04:00