evalstate/birch-html / results /publish /models /opus47 /artifacts /benchmark-comparison.html
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<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>Promote Candidate B — Birch skill seed comparison</title>
<style data-birch-system>/*
Birch HTML Design System
Opinionated single-option stylesheet for reliable LLM-generated artifacts.
Model:
1. Design tokens as CSS variables.
2. Layout primitives as classes.
3. Semantic components as classes with data-* variants.
*/
/* ==================== 1. TOKENS ==================== */
:root {
color-scheme: light;
/* Palette */
--color-ivory: #FAF9F5;
--color-slate: #141413;
--color-clay: #D97757;
--color-clay-dark: #B85C3E;
--color-oat: #E3DACC;
--color-olive: #788C5D;
--color-rust: #B04A3F;
--color-sky: #6A8CAF;
--color-white: #FFFFFF;
--color-gray-50: #F7F5EE;
--color-gray-100: #F0EEE6;
--color-gray-150: #E8E4DA;
--color-gray-200: #DED9CD;
--color-gray-300: #D1CFC5;
--color-gray-500: #87867F;
--color-gray-700: #3D3D3A;
--color-gray-800: #242421;
/* Semantic colors */
--bg: var(--color-ivory);
--surface: var(--color-white);
--surface-tint: var(--color-gray-100);
--surface-warm: var(--color-oat);
--text: var(--color-slate);
--text-muted: var(--color-gray-500);
--text-soft: var(--color-gray-700);
--muted: var(--text-muted);
--border-color: var(--color-gray-300);
--accent: var(--color-clay);
--accent-strong: var(--color-clay-dark);
--success: var(--color-olive);
--warning: #C78E3F;
--danger: var(--color-rust);
--info: var(--color-sky);
/* Typography */
--font-serif: ui-serif, Georgia, "Times New Roman", serif;
--font-sans: system-ui, -apple-system, "Segoe UI", Roboto, sans-serif;
--font-mono: ui-monospace, "SF Mono", Menlo, Consolas, monospace;
--text-xs: 11px;
--text-sm: 12px;
--text-md: 14px;
--text-base: 15px;
--text-lg: 17px;
--text-xl: 21px;
--text-2xl: 26px;
--text-3xl: 36px;
--text-4xl: 44px;
--leading-tight: 1.15;
--leading-title: 1.25;
--leading-body: 1.55;
--leading-loose: 1.7;
/* Spacing */
--space-1: 4px;
--space-2: 8px;
--space-3: 12px;
--space-4: 16px;
--space-5: 24px;
--space-6: 32px;
--space-7: 48px;
--space-8: 64px;
--space-9: 96px;
/* Shape */
--radius-xs: 4px;
--radius-sm: 8px;
--radius-md: 12px;
--radius-lg: 16px;
--radius-xl: 20px;
--radius-pill: 999px;
--border: 1.5px solid var(--border-color);
--border-thin: 1px solid var(--border-color);
--shadow-sm: 0 1px 2px rgba(20, 20, 19, 0.06);
--shadow-md: 0 4px 14px rgba(20, 20, 19, 0.08);
--shadow-lg: 0 12px 28px rgba(20, 20, 19, 0.12);
/* Motion */
--ease: cubic-bezier(0.2, 0, 0, 1);
--ease-spring: cubic-bezier(0.34, 1.56, 0.64, 1);
--dur-fast: 120ms;
--dur: 180ms;
--hover-y: -2px;
/* Page sizing */
--page-max: 1100px;
--page-pad: 28px;
--page-pad-block: 48px;
/* Legacy aliases used by source examples */
--ivory: var(--color-ivory);
--slate: var(--color-slate);
--clay: var(--color-clay);
--clay-d: var(--color-clay-dark);
--oat: var(--color-oat);
--olive: var(--color-olive);
--rust: var(--color-rust);
--sky: var(--color-sky);
--white: var(--color-white);
--gray-50: var(--color-gray-50);
--gray-100: var(--color-gray-100);
--gray-150: var(--color-gray-150);
--gray-200: var(--color-gray-200);
--gray-300: var(--color-gray-300);
--gray-500: var(--color-gray-500);
--gray-700: var(--color-gray-700);
--gray-800: var(--color-gray-800);
--serif: var(--font-serif);
--sans: var(--font-sans);
--mono: var(--font-mono);
}
/* ==================== BASE ==================== */
*,
*::before,
*::after {
box-sizing: border-box;
}
html {
background: var(--bg);
color: var(--text);
font-family: var(--font-sans);
-webkit-text-size-adjust: 100%;
}
body {
margin: 0;
background: var(--bg);
color: var(--text);
font-family: var(--font-sans);
font-size: var(--text-base);
line-height: var(--leading-body);
-webkit-font-smoothing: antialiased;
text-rendering: optimizeLegibility;
}
img,
svg {
max-width: 100%;
}
a {
color: inherit;
text-decoration-color: rgba(217, 119, 87, 0.45);
text-underline-offset: 3px;
}
a:hover {
color: var(--accent);
}
h1,
h2,
h3,
p {
margin-block: 0;
}
h1,
h2,
h3 {
font-family: var(--font-serif);
font-weight: 500;
letter-spacing: -0.01em;
line-height: var(--leading-title);
}
h1 {
font-size: clamp(32px, 5vw, var(--text-4xl));
}
h2 {
font-size: var(--text-2xl);
}
h3 {
font-size: var(--text-xl);
}
code,
kbd,
pre {
font-family: var(--font-mono);
}
code {
font-size: 0.92em;
white-space: normal;
word-break: normal;
}
h1 code,
h2 code,
h3 code {
overflow-wrap: anywhere;
word-break: break-word;
}
button,
input,
textarea,
select {
font: inherit;
}
button {
cursor: pointer;
}
::selection {
background: rgba(217, 119, 87, 0.24);
}
/* ==================== 2. LAYOUT PRIMITIVES ==================== */
.page {
width: min(100% - (var(--page-pad) * 2), var(--page-max));
margin-inline: auto;
padding-block: var(--page-pad-block) var(--space-9);
}
.page[data-size="narrow"] {
--page-max: 820px;
}
.page[data-size="wide"] {
--page-max: 1280px;
}
.page[data-size="full"] {
--page-max: 1440px;
}
.section {
margin-block: var(--section-gap, var(--space-5));
}
.section[data-gap="lg"] {
--section-gap: var(--space-6);
}
.section[data-gap="xl"] {
--section-gap: var(--space-7);
}
.section:first-child {
margin-block-start: 0;
}
.stack > .section {
margin-block: 0;
}
.rule {
border: 0;
border-top: var(--border-thin);
margin: var(--space-3) 0 var(--space-5);
}
.stack {
display: flex;
flex-direction: column;
gap: var(--stack-gap, var(--space-4));
}
.stack[data-gap="xs"] { --stack-gap: var(--space-2); }
.stack[data-gap="sm"] { --stack-gap: var(--space-3); }
.stack[data-gap="md"] { --stack-gap: var(--space-4); }
.stack[data-gap="lg"] { --stack-gap: var(--space-6); }
.stack[data-gap="xl"] { --stack-gap: var(--space-8); }
.stack > :is(.button, .btn, .chip, .badge) {
align-self: flex-start;
}
.cluster {
display: flex;
flex-wrap: wrap;
align-items: center;
gap: var(--cluster-gap, var(--space-3));
}
.cluster[data-align="start"] { align-items: flex-start; }
.cluster[data-align="end"] { align-items: flex-end; }
.cluster[data-justify="between"] { justify-content: space-between; }
.cluster[data-justify="end"] { justify-content: flex-end; }
.grid {
display: grid;
gap: var(--grid-gap, var(--space-5));
}
.grid[data-cols="2"] {
grid-template-columns: repeat(2, minmax(0, 1fr));
}
.grid[data-cols="3"] {
grid-template-columns: repeat(3, minmax(0, 1fr));
}
.grid[data-cols="4"] {
grid-template-columns: repeat(4, minmax(0, 1fr));
}
.auto-grid {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(min(100%, var(--grid-min, 240px)), 1fr));
gap: var(--grid-gap, var(--space-5));
}
.auto-grid > * {
min-width: 0;
}
.split {
display: grid;
grid-template-columns: minmax(0, 1fr) minmax(280px, var(--split-side, 360px));
gap: var(--split-gap, var(--space-6));
align-items: start;
}
.split > * {
min-width: 0;
}
.section-head {
min-width: 0;
}
.section-rail {
display: grid;
grid-template-columns: minmax(0, 1fr) minmax(280px, var(--rail-width, 360px));
column-gap: var(--rail-gap, var(--space-6));
row-gap: var(--space-5);
align-items: start;
}
.section-rail > .section-head {
grid-column: 1 / -1;
}
.section-rail > .reference-panel,
.section-rail > aside {
align-self: start;
}
.sidebar-layout {
display: grid;
grid-template-columns: var(--sidebar-width, 240px) minmax(0, 1fr);
gap: var(--sidebar-gap, var(--space-7));
align-items: start;
}
.sidebar-layout > :first-child,
.sticky {
position: sticky;
top: var(--sticky-top, var(--space-5));
}
.bleed {
margin-inline: calc(var(--page-pad) * -1);
}
.scroll-x {
overflow-x: auto;
overscroll-behavior-inline: contain;
}
.center {
display: grid;
place-items: center;
}
.spacer {
flex: 1;
}
@media (max-width: 860px) {
:root {
--page-pad: 20px;
--page-pad-block: 40px;
}
.grid[data-cols],
.split,
.section-rail,
.sidebar-layout {
grid-template-columns: 1fr;
}
.sidebar-layout > :first-child,
.sticky {
position: static;
}
}
/* ==================== TYPOGRAPHY UTILITIES ==================== */
.eyebrow {
display: inline-flex;
align-items: center;
gap: var(--space-2);
color: var(--accent);
font-family: var(--font-mono);
font-size: var(--text-xs);
font-weight: 700;
letter-spacing: 0.08em;
text-transform: uppercase;
}
.eyebrow::before {
content: "";
width: 24px;
height: 1.5px;
background: currentColor;
}
.lede {
max-width: 720px;
color: var(--text-soft);
font-size: var(--text-lg);
line-height: 1.6;
}
.muted {
color: var(--text-muted);
}
.caption {
color: var(--text-muted);
font-family: var(--font-mono);
font-size: var(--text-sm);
}
.stat-value {
display: block;
color: var(--text);
font-family: var(--font-serif);
font-size: clamp(30px, 3.2vw, 42px);
font-variant-numeric: tabular-nums;
font-weight: 550;
letter-spacing: -0.025em;
line-height: 1;
}
.stat-card {
gap: var(--space-2);
}
.stat-card .caption {
letter-spacing: 0.08em;
text-transform: uppercase;
}
.stat-card .muted {
max-width: 34ch;
font-size: var(--text-sm);
}
.mono {
font-family: var(--font-mono);
}
/* ==================== 3. SEMANTIC COMPONENTS ==================== */
.panel,
.card {
background: var(--surface);
border: var(--border);
border-radius: var(--radius-md);
}
.panel {
padding: var(--panel-pad, var(--space-5));
}
.card {
padding: var(--card-pad, var(--space-5));
transition:
transform var(--dur-fast) var(--ease),
border-color var(--dur-fast) var(--ease),
box-shadow var(--dur-fast) var(--ease),
background-color var(--dur-fast) var(--ease);
}
.card[data-hover="lift"]:hover,
.card[data-clickable]:hover {
transform: translateY(var(--hover-y));
border-color: rgba(217, 119, 87, 0.55);
box-shadow: var(--shadow-md);
}
.card[data-clickable] {
cursor: pointer;
}
.card[data-variant="flat"] {
background: transparent;
border-color: transparent;
box-shadow: none;
}
.card[data-variant="outlined"] {
background: var(--surface);
border: var(--border);
}
.card[data-variant="elevated"] {
border-color: transparent;
box-shadow: var(--shadow-md);
}
.card[data-variant="filled"],
.card[data-tone="oat"] {
background: var(--surface-warm);
}
.card[data-tone],
.panel[data-tone],
.callout[data-tone] {
background: var(--surface);
}
.card[data-tone="danger"],
.panel[data-tone="danger"],
.callout[data-tone="danger"] {
border-color: rgba(176, 74, 63, 0.36);
}
.card[data-tone="warning"],
.panel[data-tone="warning"],
.callout[data-tone="warning"] {
border-color: rgba(199, 142, 63, 0.38);
}
.card[data-tone="success"],
.panel[data-tone="success"],
.callout[data-tone="success"] {
border-color: rgba(120, 140, 93, 0.38);
}
.card[data-tone="info"],
.panel[data-tone="info"],
.callout[data-tone="info"] {
border-color: rgba(106, 140, 175, 0.36);
}
.card[data-accent] {
position: relative;
overflow: hidden;
}
.card[data-accent]::before {
content: "";
position: absolute;
inset: 0 auto 0 0;
width: 5px;
background: var(--accent);
}
.card-head {
display: flex;
align-items: center;
gap: var(--space-3);
min-width: 0;
max-width: 100%;
}
.card-head > :first-child {
flex: 0 0 auto;
}
.card-titles {
flex: 1 1 0;
min-width: 0;
max-width: 100%;
}
.card-title {
max-width: 100%;
margin: 0;
font-family: var(--font-serif);
font-size: var(--text-xl);
font-weight: 550;
line-height: var(--leading-title);
overflow-wrap: anywhere;
}
.card-sub {
margin: 2px 0 0;
color: var(--text-muted);
font-size: var(--text-sm);
overflow-wrap: anywhere;
}
.toolbar {
display: flex;
flex-wrap: wrap;
align-items: center;
gap: var(--space-4);
padding: var(--space-4) var(--space-5);
background: var(--surface);
border: var(--border);
border-radius: var(--radius-md);
}
.toolbar[data-sticky] {
position: sticky;
top: 0;
z-index: 10;
}
.chip,
.badge {
display: inline-flex;
align-items: center;
justify-content: center;
gap: 6px;
border-radius: var(--radius-pill);
white-space: nowrap;
font-family: var(--font-mono);
font-size: var(--text-xs);
font-weight: 650;
line-height: 1;
}
.chip {
min-height: 24px;
padding: 0 10px;
color: var(--text-soft);
background: var(--surface-tint);
border: 1px solid transparent;
}
.badge {
min-height: 22px;
padding: 0 9px;
color: var(--text-muted);
background: var(--surface);
border: var(--border-thin);
text-transform: uppercase;
letter-spacing: 0.06em;
}
.chip[data-tone="clay"],
.badge[data-tone="clay"] {
color: var(--accent);
background: rgba(217, 119, 87, 0.14);
}
.chip[data-tone="olive"],
.badge[data-tone="olive"],
.chip[data-tone="success"],
.badge[data-tone="success"] {
color: var(--success);
background: rgba(120, 140, 93, 0.15);
}
.chip[data-tone="warning"],
.badge[data-tone="warning"] {
color: var(--warning);
background: rgba(199, 142, 63, 0.16);
}
.chip[data-tone="rust"],
.badge[data-tone="rust"],
.chip[data-tone="danger"],
.badge[data-tone="danger"] {
color: var(--danger);
background: rgba(176, 74, 63, 0.13);
}
.chip[data-tone="sky"],
.badge[data-tone="sky"],
.chip[data-tone="info"],
.badge[data-tone="info"] {
color: var(--info);
background: rgba(106, 140, 175, 0.14);
}
.finding {
border-left: 6px solid var(--border-color);
}
.finding[data-severity="blocker"],
.finding[data-severity="critical"],
.finding[data-severity="danger"],
.finding[data-tone="danger"] {
border-left-color: var(--danger);
}
.finding[data-severity="high"],
.finding[data-severity="warning"],
.finding[data-tone="warning"] {
border-left-color: var(--warning);
}
.finding[data-severity="medium"],
.finding[data-severity="info"],
.finding[data-tone="info"] {
border-left-color: var(--info);
}
.finding[data-severity="low"],
.finding[data-severity="success"],
.finding[data-tone="success"] {
border-left-color: var(--success);
}
.button,
.btn {
appearance: none;
display: inline-flex;
align-items: center;
justify-content: center;
min-height: 36px;
padding: 0 14px;
border: 1.5px solid transparent;
border-radius: var(--radius-sm);
font-family: var(--font-sans);
font-size: var(--text-md);
font-weight: 650;
line-height: 1;
text-decoration: none;
transition:
transform var(--dur-fast) var(--ease),
background-color var(--dur-fast) var(--ease),
border-color var(--dur-fast) var(--ease),
box-shadow var(--dur-fast) var(--ease);
}
.button:hover,
.btn:hover {
transform: translateY(-1px);
}
.button[data-variant="primary"],
.btn-primary {
color: var(--color-white);
background: var(--color-slate);
}
.button[data-variant="primary"]:hover,
.btn-primary:hover {
background: var(--color-gray-700);
}
.button[data-variant="secondary"],
.btn-secondary {
color: var(--text);
background: var(--surface-tint);
border-color: var(--border-color);
}
.button[data-variant="ghost"],
.btn-ghost {
color: var(--text-soft);
background: transparent;
}
.button[data-variant="ghost"]:hover,
.btn-ghost:hover {
color: var(--text);
background: var(--surface-tint);
}
.button[data-variant="danger"],
.btn-danger {
color: var(--color-white);
background: var(--danger);
}
.input {
width: 100%;
min-height: 38px;
padding: 0 12px;
color: var(--text);
background: var(--surface);
border: var(--border);
border-radius: var(--radius-sm);
outline: none;
}
.input:focus {
border-color: var(--accent);
box-shadow: 0 0 0 3px rgba(217, 119, 87, 0.16);
}
.avatar {
display: inline-flex;
align-items: center;
justify-content: center;
width: var(--avatar-size, 38px);
height: var(--avatar-size, 38px);
border-radius: 50%;
color: var(--text-soft);
background: var(--surface-warm);
font-family: var(--font-mono);
font-size: var(--text-sm);
font-weight: 700;
letter-spacing: 0.02em;
flex: 0 0 auto;
}
.code-block {
margin: 0;
padding: var(--space-4) var(--space-5);
overflow-x: auto;
color: #E8E6DC;
background: var(--color-slate);
border-radius: var(--radius-md);
font-family: var(--font-mono);
font-size: var(--text-sm);
line-height: var(--leading-loose);
}
.code-block[data-kind="command"],
.code-block[data-wrap="true"],
.command-block {
max-width: 100%;
min-width: 0;
box-sizing: border-box;
white-space: pre-wrap;
overflow-wrap: anywhere;
word-break: break-word;
overflow-x: hidden;
}
.code-block[data-wrap="true"] code,
.code-block[data-kind="command"] code {
display: block;
max-width: 100%;
white-space: pre-wrap;
overflow-wrap: anywhere;
word-break: break-word;
}
.copyable {
position: relative;
}
.copyable > .code-block {
padding-inline-end: 88px;
}
.copy-button {
appearance: none;
position: absolute;
inset-block-start: var(--space-2);
inset-inline-end: var(--space-2);
display: inline-flex;
align-items: center;
justify-content: center;
min-height: 26px;
padding: 0 9px;
border: 1px solid rgba(250, 249, 245, 0.18);
border-radius: var(--radius-sm);
color: var(--color-gray-100);
background: rgba(255, 255, 255, 0.08);
font-family: var(--font-mono);
font-size: var(--text-xs);
font-weight: 700;
letter-spacing: 0.04em;
text-transform: uppercase;
transition:
background-color var(--dur-fast) var(--ease),
border-color var(--dur-fast) var(--ease),
transform var(--dur-fast) var(--ease);
}
.copy-button:hover {
transform: translateY(-1px);
border-color: rgba(250, 249, 245, 0.35);
background: rgba(255, 255, 255, 0.14);
}
.copy-button[data-copied="true"] {
color: var(--color-white);
background: rgba(120, 140, 93, 0.55);
border-color: rgba(120, 140, 93, 0.75);
}
.reference-panel {
--panel-pad: var(--space-5);
}
.callout {
padding: var(--space-5);
color: var(--text-soft);
background: var(--surface-tint);
border: var(--border);
border-inline-start: 4px solid var(--accent);
border-radius: var(--radius-md);
}
.callout[data-tone="success"] {
border-inline-start-color: var(--success);
background: rgba(120, 140, 93, 0.10);
}
.callout[data-tone="warning"] {
border-inline-start-color: var(--warning);
background: rgba(199, 142, 63, 0.11);
}
.callout[data-tone="danger"] {
border-inline-start-color: var(--danger);
background: rgba(176, 74, 63, 0.10);
}
.callout[data-tone="info"] {
border-inline-start-color: var(--info);
background: rgba(106, 140, 175, 0.11);
}
.callout-label {
display: block;
margin-bottom: var(--space-2);
color: var(--text-muted);
font-family: var(--font-mono);
font-size: var(--text-xs);
font-weight: 700;
letter-spacing: 0.09em;
text-transform: uppercase;
}
.callout > :last-child {
margin-bottom: 0;
}
.checklist {
list-style: none;
margin: 0;
padding: 0;
display: grid;
gap: var(--space-3);
}
.checklist li {
display: block !important;
position: relative !important;
min-width: 0;
padding-inline-start: calc(18px + var(--space-3));
overflow-wrap: anywhere;
}
.checklist li::before {
content: "✓";
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</head>
<body>
<main class="page stack" data-gap="lg">
<header class="stack" data-gap="sm">
<div class="eyebrow">Benchmark comparison · 2026-05-20</div>
<h1>Promote Candidate B as the next GEPA seed</h1>
<p class="lede">Across four Birch evals on <code>codexresponses.gpt-5.5</code>, Candidate B lifts the final score from <strong>0.9175 → 0.9655</strong> and cuts checker warnings from <strong>5 → 2</strong>, with no generation or checker failures. Wall time and cost rise materially (+18.7% / +11.5%) but are acceptable for seed quality.</p>
<div class="callout" data-tone="success">
<strong>Recommendation:</strong> promote Candidate B for a single-model GEPA run on gpt-5.5, then re-run on Kimi and Gemini before broad model-suite validation. Manually inspect <code>code-review</code> diff wrapping before committing.
</div>
</header>
<section class="section stack" data-gap="md">
<div class="section-head">
<div>
<span class="eyebrow">Headline KPIs</span>
<h2>Run-level deltas</h2>
</div>
<p class="caption">Seed A vs Candidate B on the same four-eval set; same model, same prompts.</p>
</div>
<div class="auto-grid" style="--grid-min: 160px">
<div class="stat-card">
<span class="caption">Pass rate</span>
<span class="stat-value">4 / 4</span>
<span class="caption">unchanged · no generation failures</span>
</div>
<div class="stat-card" data-tone="success">
<span class="caption">Final score</span>
<span class="stat-value">0.9655</span>
<span class="caption">+0.0480 vs 0.9175 seed</span>
</div>
<div class="stat-card" data-tone="success">
<span class="caption">Checker warnings</span>
<span class="stat-value">2</span>
<span class="caption">−3 vs 5 seed</span>
</div>
<div class="stat-card">
<span class="caption">Checker failures</span>
<span class="stat-value">0</span>
<span class="caption">unchanged · 0 → 0</span>
</div>
<div class="stat-card" data-tone="warning">
<span class="caption">Wall time</span>
<span class="stat-value">489 s</span>
<span class="caption">+77 s · +18.7% vs 412 s</span>
</div>
<div class="stat-card" data-tone="warning">
<span class="caption">Total tokens</span>
<span class="stat-value">124.7k</span>
<span class="caption">+8.7k · +7.5% vs 116.0k</span>
</div>
<div class="stat-card" data-tone="warning">
<span class="caption">Estimated cost</span>
<span class="stat-value">$2.14</span>
<span class="caption">+$0.22 · +11.5% vs $1.92</span>
</div>
<div class="stat-card" data-tone="success">
<span class="caption">Hygiene score</span>
<span class="stat-value">0.99</span>
<span class="caption">−0.01 vs 1.00 · noise-level</span>
</div>
</div>
</section>
<section class="section stack" data-gap="md">
<div class="section-head">
<div>
<span class="eyebrow">Primary tradeoff</span>
<h2>Quality up, wall time up across every eval</h2>
</div>
<p class="caption">Matplotlib-generated inline SVG · grouped bars from <code>source.json</code> · per-eval score (left) and wall time (right).</p>
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<p class="chart-caption">Every eval improves in score; every eval is slower. The largest score gain is <code>implementation-plan</code> (+0.088); the largest time penalty is <code>module-explainer</code> (+21 s, +18.9%).</p>
</div>
<div class="section-head">
<div>
<span class="eyebrow">Exact values</span>
<h3>Per-eval comparison</h3>
</div>
</div>
<div class="numeric-table-wrap">
<table class="numeric-table">
<thead>
<tr>
<th>Eval</th>
<th class="metric">Seed score</th>
<th class="metric">Cand. score</th>
<th class="metric">Δ score</th>
<th class="metric">Warn S → C</th>
<th class="metric">Wall S → C (s)</th>
</tr>
</thead>
<tbody>
<tr><td><code>numeric-data</code></td><td class="metric">0.930</td><td class="metric">0.970</td><td class="metric">+0.040</td><td class="metric">2 → 1</td><td class="metric">94 → 113</td></tr>
<tr><td><code>code-review</code></td><td class="metric">0.910</td><td class="metric">0.955</td><td class="metric">+0.045</td><td class="metric">1 → 0</td><td class="metric">102 → 121</td></tr>
<tr><td><code>module-explainer</code></td><td class="metric">0.925</td><td class="metric">0.944</td><td class="metric">+0.019</td><td class="metric">1 → 1</td><td class="metric">111 → 132</td></tr>
<tr><td><code>implementation-plan</code></td><td class="metric">0.905</td><td class="metric">0.993</td><td class="metric">+0.088</td><td class="metric">1 → 0</td><td class="metric">105 → 123</td></tr>
<tr><td><strong>Run total</strong></td><td class="metric">0.9175</td><td class="metric">0.9655</td><td class="metric">+0.0480</td><td class="metric">5 → 2</td><td class="metric">412 → 489</td></tr>
</tbody>
</table>
</div>
</section>
<section class="section-rail">
<div class="stack" data-gap="lg">
<section class="section stack" data-gap="md">
<div class="section-head">
<div>
<span class="eyebrow">Findings</span>
<h2>Where Candidate B helps — and where it doesn't</h2>
</div>
</div>
<div class="auto-grid" style="--grid-min: 240px">
<article class="card stack" data-gap="sm" data-tone="success">
<span class="eyebrow">Improvement</span>
<h3>Checker warnings cut 60%</h3>
<p>Mechanical contract warnings drop 5 → 2 with no new failures. The two remaining warnings are on <code>numeric-data</code> (1) and <code>module-explainer</code> (1).</p>
</article>
<article class="card stack" data-gap="sm" data-tone="success">
<span class="eyebrow">Improvement</span>
<h3>implementation-plan jumps +0.088</h3>
<p>Largest single-eval gain; warnings clear to 0. Source note: <span class="note">"Plan quality improved; no checker regression."</span></p>
</article>
<article class="card stack" data-gap="sm" data-tone="warning">
<span class="eyebrow">Regression risk</span>
<h3>Wall time +18.7% across the board</h3>
<p>Every eval is 18–21 s slower. Source caveat: wall time includes model latency and harness overhead, so small per-eval gaps are noisy — but the consistent direction is not.</p>
</article>
<article class="card stack" data-gap="sm" data-tone="warning">
<span class="eyebrow">Regression risk</span>
<h3>Cost +11.5%, tokens +7.5%</h3>
<p>Output tokens drive most of the spend (31.8k → 34.6k, +8.8%). Acceptable for a seed run; reassess if downstream GEPA runs amplify the per-call cost.</p>
</article>
<article class="card stack" data-gap="sm">
<span class="eyebrow">Open</span>
<h3>code-review diff wrapping</h3>
<p>Source decision note flags: <span class="note">"One code-review artifact still needs inspection for long diff wrapping."</span> Block promotion to broad suite until manually verified.</p>
</article>
<article class="card stack" data-gap="sm">
<span class="eyebrow">Open</span>
<h3>numeric-data SVG density</h3>
<p>Per-eval note: <span class="note">"Candidate chart is clearer but uses more SVG text."</span> Watch for 390px overflow regressions in later candidates.</p>
</article>
</div>
</section>
<aside class="reference-panel stack" data-gap="md">
<div class="section-head">
<div>
<span class="eyebrow">Reference</span>
<h2>Scoring &amp; provenance</h2>
</div>
</div>
<div class="stack" data-gap="sm">
<h3>Scoring formula</h3>
<div class="code-block" data-wrap="true"><code>final = 0.30·gen + 0.55·check + 0.15·hygiene</code></div>
<ul class="plain-list">
<li><code>gen</code> = generated_ok / total_evals</li>
<li><code>check</code> = max(0, 1 − 0.20·failures − 0.03·warnings)</li>
<li><code>hygiene</code> = avg artifact compliance after penalties for unsupported classes, external assets, missing CSS</li>
</ul>
<p class="caption">Verify: Seed checker = 1 − 0.03·5 = 0.85; Candidate = 1 − 0.03·2 = 0.94. Matches <code>source.json</code>.</p>
</div>
<div class="stack" data-gap="sm">
<h3>Run provenance</h3>
<div class="metric-list">
<div class="metric"><span class="caption">Model</span><code>codexresponses.gpt-5.5</code></div>
<div class="metric"><span class="caption">Eval set</span><code>numeric-data, code-review, module-explainer, implementation-plan</code></div>
<div class="metric"><span class="caption">Timestamp</span><code>2026-05-20T18:40:00Z</code></div>
<div class="metric"><span class="caption">Seed report</span><code>eval-runs/reports/skill-seed-gpt55/summary.json</code></div>
<div class="metric"><span class="caption">Cand. report</span><code>eval-runs/reports/skill-candidate-b-gpt55/summary.json</code></div>
</div>
<h3>Command</h3>
<div class="code-block" data-wrap="true"><code>python3 scripts/run_skill_evals.py --skill-dir birch-html --model codexresponses.gpt-5.5 --label skill-candidate-b-gpt55</code></div>
</div>
<div class="stack" data-gap="sm">
<h3>Caveats</h3>
<ul class="plain-list">
<li>Provider token schemas differ; cached / reasoning / effective tokens are not apples-to-apples — treat the +7.5% token delta as directional.</li>
<li>Checker warnings are mechanical contract signals, not a complete human quality score.</li>
<li>Same:same screenshot pairs primarily validate geometry &amp; rendering contracts, not aesthetic quality.</li>
<li>Wall time includes model latency &amp; harness overhead; per-eval gaps under ~10 s are noise, but the consistent +18–21 s shift is not.</li>
<li>n=4 evals, single model, single run — no variance estimate.</li>
</ul>
</div>
</aside>
</div>
</section>
<section class="section stack" data-gap="md">
<div class="section-head">
<div>
<span class="eyebrow">Next experiment</span>
<h2>What to run before broad promotion</h2>
</div>
<p class="caption">From <code>source.json</code><code>recommendation.next_experiment</code>, plus regressions to verify.</p>
</div>
<ol class="flow-list">
<li class="flow-step">
<span class="flow-num">1</span>
<div class="stack" data-gap="sm">
<h3 class="flow-title">Manual inspection: code-review diff wrapping</h3>
<p class="flow-detail">Open the Candidate B <code>code-review</code> artifact at 390px and confirm <code>.diff-row</code> wrapping. Block promotion if any diff line overflows.</p>
</div>
</li>
<li class="flow-step">
<span class="flow-num">2</span>
<div class="stack" data-gap="sm">
<h3 class="flow-title">Single-model GEPA seed run on gpt-5.5</h3>
<p class="flow-detail">Promote Candidate B as seed. Compare GEPA-best vs Candidate B on the same four evals to confirm the lifted floor is real, not a single-run artefact.</p>
</div>
</li>
<li class="flow-step">
<span class="flow-num">3</span>
<div class="stack" data-gap="sm">
<h3 class="flow-title">Cross-model validation: Kimi &amp; Gemini</h3>
<p class="flow-detail">Re-run the eval set on Kimi and Gemini before broadening to the full model suite. Watch whether the +18.7% wall-time cost amplifies or compresses on other providers.</p>
</div>
</li>
<li class="flow-step">
<span class="flow-num">4</span>
<div class="stack" data-gap="sm">
<h3 class="flow-title">Tighten checker on remaining warnings</h3>
<p class="flow-detail">The two surviving warnings are on <code>numeric-data</code> and <code>module-explainer</code>. Decide whether the rubric should escalate "dense SVG text" / "dense mobile caption" to failures before the next GEPA round, so future candidates can't trade them away.</p>
</div>
</li>
</ol>
</section>
<footer class="stack" data-gap="sm">
<p class="caption">Source of truth: <code>evals/benchmark-comparison/source.json</code>. All scores, warnings, tokens, wall times, and costs reproduced verbatim; deltas computed in-page. Audience: engineers optimizing the Birch HTML skill and selecting GEPA seed candidates.</p>
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