GitHub’s model for secret detection: Finding more secrets with less noise

Secret scanning works best when developers are confident in the findings. Catch too little, and real credentials can remain in a repository. Alert too often, and developers may spend time investigating strings that aren’t secrets.

Generic secrets make that balance especially difficult. The same string could be a real credential or a documentation placeholder, so detecting it requires understanding the surrounding code and text.

To address this challenge, we trained a secret classifier specifically for GitHub’s product needs: distinguishing real credentials from lookalikes while meeting the speed and efficiency requirements of scanning at scale.

In our companion post, Secret protection must scale with software, we explained why secret protection must keep pace with AI-accelerated development. Here, we go behind the scenes of the context-aware classifier powering that effort: how we designed, trained, and evaluated it to find more real secrets with less noise.

What we enabled

GitHub secret scanning operates at two key moments:

• Push protection helps prevent secrets from entering a repository by scanning changes before a push is accepted, giving developers an opportunity to address the finding.
• Post-push scanning works after code has been committed, continuously scanning repository content and creating alerts when potential secrets are detected so developers and security teams can investigate and remediate them.

We developed a fast classifier that reduced median post-push scan execution time by 86% compared with the previous LLM-based pipeline. That efficiency made it practical to extend generic secret detection to push protection, returning results before developers push changes, not only after code is committed.

Why secrets are hard to detect

Structured credentials often include a distinctive prefix, length, alphabet, or checksum. Generic secrets may not. Their syntax overlaps with build identifiers, checksums, asset hashes, sample values, and other non-sensitive strings. Context is the deciding signal.

These cases are hard negatives: strings that match a credential pattern but are not usable credentials. Adding more rules can suppress some of them, but each exception risks hiding a real secret. A learned classifier can instead use signals such as file path, secret type, variable names, and nearby code or text.

That is why we shipped a new scanner using a two-stage pipeline:

1. Candidate generation: Regex filters scan content for potential secrets with high recall. This stage is optimized to catch broad families of credential-like patterns quickly and deterministically.
2. Context-aware classification: A fine-tuned ModernBERT classifier evaluates each candidate and its surrounding context. It is trained to recognize the signals that separate real secrets from false positives, including placeholder values, examples, documentation snippets, generated content, and non-sensitive identifiers. Because the model is small and efficient to run on our inference infrastructure, it costs much less to serve and is simpler to scale than an LLM-based pipeline.

Impact:

• 11.5% user acceptance improvement, reducing false positives.
• 86% faster post-push secret detection execution time.
• More than 98% cost savings compared with the LLM-based pipeline.

How our pipeline works

As content is scanned, regex patterns cast a wide net and flag anything that looks like a credential, so real secrets aren’t missed at the start. Each candidate then goes to a fine-tuned ModernBERT classifier, which reads the value together with its file path, variable names, and surrounding code. The classifier estimates how likely it is to be a real secret. High-confidence findings become alerts, and lookalikes such as placeholders, test fixtures, and checksums are filtered out before they reach developers.

/*
Copyright 2022 The Mona Sans Project Authors (https://github.com/github/mona-sans), with Reserved Font Name “Mona”

This Font Software is licensed under the SIL Open Font License, Version 1.1.
This license is copied below, and is also available with a FAQ at:
https://openfontlicense.org

———————————————————–
SIL OPEN FONT LICENSE Version 1.1 – 26 February 2007
———————————————————–

PREAMBLE
The goals of the Open Font License (OFL) are to stimulate worldwide
development of collaborative font projects, to support the font creation
efforts of academic and linguistic communities, and to provide a free and
open framework in which fonts may be shared and improved in partnership
with others.

The OFL allows the licensed fonts to be used, studied, modified and
redistributed freely as long as they are not sold by themselves. The
fonts, including any derivative works, can be bundled, embedded,
redistributed and/or sold with any software provided that any reserved
names are not used by derivative works. The fonts and derivatives,
however, cannot be released under any other type of license. The
requirement for fonts to remain under this license does not apply
to any document created using the fonts or their derivatives.

DEFINITIONS
“Font Software” refers to the set of files released by the Copyright
Holder(s) under this license and clearly marked as such. This may
include source files, build scripts and documentation.

“Reserved Font Name” refers to any names specified as such after the
copyright statement(s).

“Original Version” refers to the collection of Font Software components as
distributed by the Copyright Holder(s).

“Modified Version” refers to any derivative made by adding to, deleting,
or substituting — in part or in whole — any of the components of the
Original Version, by changing formats or by porting the Font Software to a
new environment.

“Author” refers to any designer, engineer, programmer, technical
writer or other person who contributed to the Font Software.

PERMISSION & CONDITIONS
Permission is hereby granted, free of charge, to any person obtaining
a copy of the Font Software, to use, study, copy, merge, embed, modify,
redistribute, and sell modified and unmodified copies of the Font
Software, subject to the following conditions:

1) Neither the Font Software nor any of its individual components,
in Original or Modified Versions, may be sold by itself.

2) Original or Modified Versions of the Font Software may be bundled,
redistributed and/or sold with any software, provided that each copy
contains the above copyright notice and this license. These can be
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in the appropriate machine-readable metadata fields within text or
binary files as long as those fields can be easily viewed by the user.

3) No Modified Version of the Font Software may use the Reserved Font
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presented to the users.

4) The name(s) of the Copyright Holder(s) or the Author(s) of the Font
Software shall not be used to promote, endorse or advertise any
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5) The Font Software, modified or unmodified, in part or in whole,
must be distributed entirely under this license, and must not be
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using the Font Software.

TERMINATION
This license becomes null and void if any of the above conditions are
not met.

DISCLAIMER
THE FONT SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND,
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*/

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font-style: normal;
font-weight: 400;
font-display: block;
}
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font-family: “GH Diagram Sans”;
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font-weight: 500;
font-display: block;
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”) format(“woff2”);
font-style: normal;
font-weight: 400;
font-display: block;
}
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font-family: “GH Diagram Mono”;
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”) format(“woff2”);
font-style: normal;
font-weight: 500;
font-display: block;
}

.ghdiagram-html {
–ghd-text: #1f2328;
–ghd-muted: #5a615c;
–ghd-canvas: #f2f5f3;
–ghd-card: #ffffff;
–ghd-border: #c4ccc6;
–ghd-accent: #0fbf3e;
–ghd-connector: #0b862b;
–ghd-padding: 24px;
box-sizing: border-box;
width: 100%;
max-width: 699px;
margin: 0 auto;
color: var(–ghd-text);
font: 400 15px/22px “GH Diagram Sans”, sans-serif;
font-synthesis: none;
font-optical-sizing: none;
font-variation-settings: normal;
font-variant-ligatures: none;
letter-spacing: 0;
text-align: left;
-webkit-font-smoothing: antialiased;
}
.ghdiagram-html *,
.ghdiagram-html *::before,
.ghdiagram-html *::after { box-sizing: border-box; }
.ghdiagram-html [hidden] { display: none !important; }
.ghdiagram-html .ghdiagram-html__canvas {
padding: var(–ghd-padding);
background: var(–ghd-canvas);
}
.ghdiagram-html .ghdiagram-html__heading { display: grid; gap: 8px; margin-bottom: 28px; }
.ghdiagram-html .ghdiagram-html__title,
.ghdiagram-html .ghdiagram-html__node-title,
.ghdiagram-html .ghdiagram-html__section-title {
margin: 0;
padding: 0;
border: 0;
color: var(–ghd-text);
font: 500 18px/26px “GH Diagram Sans”, sans-serif;
font-variation-settings: normal;
letter-spacing: 0;
text-transform: none;
overflow-wrap: anywhere;
}
.ghdiagram-html .ghdiagram-html__title { font-size: 32px; line-height: 40px; }
.ghdiagram-html .ghdiagram-html__eyebrow {
margin: 0;
color: var(–ghd-muted);
/* Match the timeline charts’ eyebrow: Mona Sans (not Mono), tracked uppercase.
The bundled Sans tops out at 500, so use that rather than faux-bolding to 700. */
font-family: “GH Diagram Sans”, sans-serif;
font-size: clamp(12px, 1.5vw, 13px);
font-weight: 500;
line-height: 1.3;
letter-spacing: 0.12em;
text-transform: uppercase;
font-variation-settings: normal;
}
.ghdiagram-html .ghdiagram-html__node-eyebrow {
margin: -4px 0 -8px;
color: var(–ghd-muted);
font: 500 11px/16px “GH Diagram Sans”, sans-serif;
letter-spacing: 0.1em;
text-transform: uppercase;
}
.ghdiagram-html .ghdiagram-html__viewport { overflow-x: auto; }
.ghdiagram-html .ghdiagram-html__viewport–fit { overflow: hidden; overflow: clip; }
.ghdiagram-html .ghdiagram-html__viewport–fit > .ghdiagram-html__plane { transform-origin: 0 0; }
.ghdiagram-html .ghdiagram-html__heading-meta {
display: flex;
flex-wrap: wrap;
align-items: center;
justify-content: space-between;
gap: 8px 16px;
}
.ghdiagram-html .ghdiagram-html__header-badge {
margin: 0;
padding: 4px 8px;
border-radius: 6px;
box-shadow: inset 0 0 0 1px var(–ghd-border);
background: var(–ghd-card);
color: var(–ghd-muted);
font: 400 12px/16px “GH Diagram Mono”, monospace;
font-variation-settings: normal;
overflow-wrap: anywhere;
}
/* Matches the charts’ title/subtitle rhythm: an 8px grid gap less 6px. */
.ghdiagram-html .ghdiagram-html__subtitle {
margin: 0;
color: var(–ghd-muted);
font: 400 15px/22px “GH Diagram Sans”, sans-serif;
overflow-wrap: anywhere;
}
.ghdiagram-html .ghdiagram-html__title + .ghdiagram-html__subtitle { margin-top: -6px; }
.ghdiagram-html .ghdiagram-html__note {
margin: 24px 0 0;
color: var(–ghd-muted);
font: 400 13px/20px “GH Diagram Sans”, sans-serif;
overflow-wrap: anywhere;
}
.ghdiagram-html .ghdiagram-html__plane { position: relative; display: grid; }
.ghdiagram-html .ghdiagram-html__row { display: grid; align-items: stretch; }
.ghdiagram-html .ghdiagram-html__row–flow {
grid-template-columns: repeat(auto-fit, minmax(min(100%, var(–ghd-flow-min-width, 180px)), 1fr));
}
/* Strokes are inset 1px rings, not outlines: WebKit snaps a half-pixel
outline offset unevenly, so rounded corners looked doubled. */
.ghdiagram-html .ghdiagram-html__node {
min-width: 0;
position: relative;
z-index: 1;
padding: 24px;
border: 0;
border-radius: 8px;
box-shadow: inset 0 0 0 1px var(–ghd-border);
background: var(–ghd-card);
}
.ghdiagram-html .ghdiagram-html__content { display: grid; align-content: start; gap: 16px; min-width: 0; }
.ghdiagram-html .ghdiagram-html__node–annotation .ghdiagram-html__content { gap: 8px; }
.ghdiagram-html .ghdiagram-html__node–dashed { box-shadow: none; outline: 1px dashed var(–ghd-border); outline-offset: -1px; }
.ghdiagram-html[data-ghd-state=”ready”] .ghdiagram-html__node–dashed { outline: none; }
.ghdiagram-html .ghdiagram-html__node–accent { –ghd-title-size: 20px; border-radius: 0 0 8px 8px; }
.ghdiagram-html .ghdiagram-html__node–accent::before {
content: “”;
position: absolute;
inset: 0 0 auto;
height: 3px;
border-radius: 1.5px;
background: var(–ghd-accent);
}
.ghdiagram-html .ghdiagram-html__node–accent .ghdiagram-html__node-title { font-size: 20px; }
.ghdiagram-html .ghdiagram-html__node-heading { display: flex; flex-wrap: wrap; gap: 8px 12px; align-items: center; }
.ghdiagram-html .ghdiagram-html__node-heading–stat { display: grid; gap: 4px; }
.ghdiagram-html .ghdiagram-html__stat {
display: flex;
align-items: center;
gap: 10px;
color: var(–ghd-emphasis, var(–ghd-accent));
font-size: calc(var(–ghd-title-size, 18px) * var(–ghd-stat-scale, 2));
font-weight: 500;
line-height: 1.2;
}
.ghdiagram-html .ghdiagram-html__stat–up::after,
.ghdiagram-html .ghdiagram-html__stat–down::after {
content: “”;
display: block;
width: 0;
height: 0;
flex: 0 0 auto;
}
.ghdiagram-html .ghdiagram-html__stat–up::after {
border-right: 11px solid transparent;
border-bottom: 18px solid currentColor;
border-left: 11px solid transparent;
}
.ghdiagram-html .ghdiagram-html__stat–down::after {
border-top: 18px solid currentColor;
border-right: 11px solid transparent;
border-left: 11px solid transparent;
}
.ghdiagram-html .ghdiagram-html__body {
margin: 0;
color: var(–ghd-muted);
font: inherit;
white-space: pre-line;
overflow-wrap: anywhere;
}
.ghdiagram-html .ghdiagram-html__chips {
display: flex;
flex-wrap: wrap;
align-content: start;
gap: 8px;
margin: 0;
padding: 0;
list-style: none;
}
.ghdiagram-html .ghdiagram-html__chip,
.ghdiagram-html .ghdiagram-html__badge {
display: block;
max-width: 100%;
margin: 0;
padding: 5.5px 10px;
border: 0;
border-radius: 6px;
box-shadow: inset 0 0 0 1px var(–ghd-stroke, var(–ghd-border));
background: var(–ghd-canvas);
color: var(–ghd-text);
font: 400 14px/20px “GH Diagram Mono”, monospace;
font-variation-settings: normal;
overflow-wrap: anywhere;
}
.ghdiagram-html .ghdiagram-html__chip–dashed {
box-shadow: none;
outline: 1px dashed var(–ghd-stroke, var(–ghd-border));
outline-offset: -1px;
}
.ghdiagram-html .ghdiagram-html__chip–icon {
display: grid;
grid-template-columns: var(–ghd-icon-size, 16px) minmax(0, 1fr);
align-items: start;
gap: 8px;
}
.ghdiagram-html .ghdiagram-html__chip–icon .ghdiagram-html__icon { color: inherit; }
.ghdiagram-html .ghdiagram-html__chip-text { min-width: 0; }
.ghdiagram-html .ghdiagram-html__chip–tone {
–ghd-stroke: var(–ghd-tone-border);
color: var(–ghd-tone-text);
background: var(–ghd-tone-bg);
}
.ghdiagram-html .ghdiagram-html__chip { margin: 0.5px 0; }
.ghdiagram-html .ghdiagram-html__badge { padding: 4px 8px; color: var(–ghd-muted); background: var(–ghd-card); }
.ghdiagram-html .ghdiagram-html__sections { display: grid; gap: 24px; min-width: 0; }
.ghdiagram-html .ghdiagram-html__sections–two { grid-template-columns: repeat(2, minmax(0, 1fr)); }
.ghdiagram-html .ghdiagram-html__section { display: grid; align-content: start; gap: 4px; min-width: 0; }
.ghdiagram-html .ghdiagram-html__section-title { font-size: 16px; line-height: 22px; }
.ghdiagram-html[data-compact=”true”] .ghdiagram-html__sections–two { grid-template-columns: minmax(0, 1fr); }
.ghdiagram-html[data-compact=”true”] .ghdiagram-html__node { padding: 16px; }
.ghdiagram-html .ghdiagram-html__icon {
display: block;
width: var(–ghd-icon-size, 16px);
height: var(–ghd-icon-size, 16px);
min-width: var(–ghd-icon-size, 16px);
flex: 0 0 var(–ghd-icon-size, 16px);
color: var(–ghd-connector);
fill: currentColor;
}
.ghdiagram-html[data-flow=”true”] .ghdiagram-html__node { padding: 12px; }
.ghdiagram-html[data-flow=”true”] .ghdiagram-html__content { gap: 12px; }
.ghdiagram-html[data-flow=”true”] .ghdiagram-html__sections–two {
grid-template-columns: max-content minmax(0, 1fr);
gap: 8px;
}
.ghdiagram-html[data-flow=”true”][data-compact=”true”] .ghdiagram-html__sections–two {
grid-template-columns: minmax(0, 1fr);
}
.ghdiagram-html .ghdiagram-html__node.ghdiagram-html__node–section-heading,
.ghdiagram-html .ghdiagram-html__node.ghdiagram-html__node–caption {
padding: 0;
background: transparent;
box-shadow: none;
outline: none;
}
.ghdiagram-html .ghdiagram-html__node–section-heading .ghdiagram-html__node-title { font-size: 22px; line-height: 30px; }
.ghdiagram-html .ghdiagram-html__node–section-heading .ghdiagram-html__content { gap: 8px; }
.ghdiagram-html .ghdiagram-html__node–numbered .ghdiagram-html__content {
grid-template-columns: 40px minmax(0, 1fr);
align-items: start;
gap: 12px;
}
.ghdiagram-html .ghdiagram-html__heading-copy {
display: grid;
gap: 2px;
min-width: 0;
padding-top: 5px;
}
.ghdiagram-html .ghdiagram-html__step {
display: grid;
place-items: center;
width: 40px;
height: 40px;
border-radius: 50%;
font: 500 24px/40px “GH Diagram Sans”, sans-serif;
}
.ghdiagram-html .ghdiagram-html__list {
display: grid;
gap: 4px;
list-style: none;
margin: 0;
padding: 0;
color: var(–ghd-muted);
font: 400 13px/20px “GH Diagram Sans”, sans-serif;
}
.ghdiagram-html .ghdiagram-html__list-item { display: grid; grid-template-columns: 6px minmax(0, 1fr); column-gap: 4px; }
.ghdiagram-html .ghdiagram-html__list-marker { width: 6px; height: 6px; margin-top: 7px; border-radius: 50%; background: var(–ghd-muted); }
.ghdiagram-html .ghdiagram-html__list-text { min-width: 0; overflow-wrap: anywhere; }
.ghdiagram-html .ghdiagram-html__node–divided .ghdiagram-html__section-title,
.ghdiagram-html .ghdiagram-html__node–listed .ghdiagram-html__section-title { font-size: 14px; line-height: 20px; }
.ghdiagram-html[data-flow=”true”] .ghdiagram-html__node–divided .ghdiagram-html__sections–two,
.ghdiagram-html[data-flow=”true”] .ghdiagram-html__node–listed .ghdiagram-html__sections–two {
grid-template-columns: max-content minmax(0, 1fr);
gap: 8px;
}
.ghdiagram-html .ghdiagram-html__node–divided .ghdiagram-html__sections–two > .ghdiagram-html__section + .ghdiagram-html__section {
border-inline-start: 1px solid var(–ghd-border);
padding-inline-start: 6px;
}
.ghdiagram-html .ghdiagram-html__node–caption .ghdiagram-html__node-heading { justify-content: center; gap: 16px; }
.ghdiagram-html .ghdiagram-html__node–caption .ghdiagram-html__node-title { font-size: 14px; line-height: 20px; color: var(–ghd-connector); }
.ghdiagram-html .ghdiagram-html__node–caption .ghdiagram-html__node-heading::before,
.ghdiagram-html .ghdiagram-html__node–caption .ghdiagram-html__node-heading::after {
content: “”;
height: 1px;
flex: 1;
background: var(–ghd-border);
}
.ghdiagram-html .ghdiagram-html__node–callout .ghdiagram-html__content {
grid-template-columns: var(–ghd-icon-size, 16px) minmax(0, 1fr) minmax(0, 1.4fr);
align-items: center;
gap: 16px;
}
.ghdiagram-html .ghdiagram-html__node–callout .ghdiagram-html__node-title { font-size: 22px; line-height: 30px; }
/* A title-only callout’s title is its whole message, so it uses the card title size. */
.ghdiagram-html .ghdiagram-html__node–callout.ghdiagram-html__node–bodyless .ghdiagram-html__content {
grid-template-columns: var(–ghd-icon-size, 16px) minmax(0, 1fr);
}
.ghdiagram-html .ghdiagram-html__node–callout.ghdiagram-html__node–bodyless .ghdiagram-html__node-title {
font-size: 18px;
line-height: 26px;
}
.ghdiagram-html[data-compact=”true”] .ghdiagram-html__node–callout .ghdiagram-html__content { grid-template-columns: var(–ghd-icon-size, 16px) minmax(0, 1fr); }
.ghdiagram-html[data-compact=”true”] .ghdiagram-html__node–callout .ghdiagram-html__body { grid-column: 2; }
.ghdiagram-html .ghdiagram-html__node–callout.ghdiagram-html__node–divided .ghdiagram-html__body {
border-inline-start: 1px solid var(–ghd-border);
padding-inline-start: 16px;
}
.ghdiagram-html[data-compact=”true”] .ghdiagram-html__node–callout.ghdiagram-html__node–divided .ghdiagram-html__body {
border-inline-start: 0;
border-block-start: 1px solid var(–ghd-border);
padding-inline-start: 0;
padding-block-start: 12px;
}
.ghdiagram-html[data-flow=”true”] .ghdiagram-html__node–annotation .ghdiagram-html__chips {
display: grid;
grid-template-columns: repeat(2, minmax(0, 1fr));
}
.ghdiagram-html[data-flow=”true”][data-compact=”true”] .ghdiagram-html__node–annotation .ghdiagram-html__chips {
grid-template-columns: minmax(0, 1fr);
}
.ghdiagram-html .ghdiagram-html__node–terminal { border-radius: 999px; }
/* Compact tiles: a centered icon over a short title, for rows of many narrow cards. */
.ghdiagram-html .ghdiagram-html__node.ghdiagram-html__node–compact { padding: 14px 8px; }
.ghdiagram-html .ghdiagram-html__node–compact .ghdiagram-html__content { justify-items: center; gap: 8px; text-align: center; }
.ghdiagram-html .ghdiagram-html__node–compact .ghdiagram-html__node-heading { justify-content: center; }
.ghdiagram-html .ghdiagram-html__node–compact .ghdiagram-html__node-title { font-size: 15px; line-height: 20px; overflow-wrap: normal; }
.ghdiagram-html .ghdiagram-html__node–decision { display: grid; align-items: center; background: transparent; box-shadow: none; outline: none; padding: 24px 25%; }
.ghdiagram-html[data-compact=”true”] .ghdiagram-html__node–decision { padding: 24px 25%; }
.ghdiagram-html .ghdiagram-html__node–decision .ghdiagram-html__content { position: relative; }
.ghdiagram-html .ghdiagram-html__node–decision .ghdiagram-html__node-heading,
.ghdiagram-html .ghdiagram-html__node–terminal .ghdiagram-html__node-heading { justify-content: center; }
.ghdiagram-html .ghdiagram-html__node–decision .ghdiagram-html__node-title,
.ghdiagram-html .ghdiagram-html__node–terminal .ghdiagram-html__node-title { text-align: center; }
.ghdiagram-html .ghdiagram-html__diamond { position: absolute; inset: 0; width: 100%; height: 100%; overflow: visible; }
.ghdiagram-html .ghdiagram-html__diamond polygon { fill: var(–ghd-card); stroke: var(–ghd-border); stroke-width: 1; vector-effect: non-scaling-stroke; }
.ghdiagram-html .ghdiagram-html__boundary { position: absolute; inset: 0; width: 100%; height: 100%; pointer-events: none; }
.ghdiagram-html .ghdiagram-html__boundary rect { fill: none; stroke: var(–ghd-border); stroke-width: 1; stroke-dasharray: 6 4; }
/* Bars: real-text values and labels; the fills are decorative. 96px tallest bar. */
.ghdiagram-html .ghdiagram-html__bars {
display: grid;
grid-auto-flow: column;
grid-auto-columns: minmax(0, 1fr);
margin: 0;
padding: 0;
list-style: none;
}
/* Axis mode: gridlines and a y scale carry the reading, so the bars print no values. */
.ghdiagram-html .ghdiagram-html__chart {
display: grid;
grid-template-columns: auto minmax(0, 1fr);
column-gap: 8px;
align-items: start;
}
.ghdiagram-html .ghdiagram-html__chart–y-title { grid-template-columns: auto auto minmax(0, 1fr); }
/* Axis titles are real text: the y title reads up beside its scale. */
.ghdiagram-html .ghdiagram-html__axis-title {
color: var(–ghd-muted);
font: 400 13px/20px “GH Diagram Sans”, sans-serif;
}
.ghdiagram-html .ghdiagram-html__axis-title–y {
grid-row: 1;
display: flex;
align-items: center;
justify-content: center;
height: var(–ghd-bar-plot-height, 136px);
}
.ghdiagram-html .ghdiagram-html__axis-title–y .ghdiagram-html__axis-title-text {
writing-mode: vertical-rl;
transform: rotate(180deg);
}
.ghdiagram-html .ghdiagram-html__axis-title–x {
grid-column: -2 / -1;
padding-top: 8px;
text-align: center;
}
.ghdiagram-html .ghdiagram-html__chart .ghdiagram-html__bar-plot {
height: var(–ghd-bar-plot-height, 136px);
border-bottom: 0;
}
.ghdiagram-html .ghdiagram-html__axis,
.ghdiagram-html .ghdiagram-html__plot { position: relative; }
.ghdiagram-html .ghdiagram-html__axis { height: var(–ghd-bar-plot-height, 136px); }
.ghdiagram-html .ghdiagram-html__axis-tick {
position: absolute;
right: 0;
transform: translateY(50%);
}
.ghdiagram-html .ghdiagram-html__axis-value {
color: var(–ghd-muted);
font: 400 12px/12px “GH Diagram Sans”, sans-serif;
font-variant-numeric: tabular-nums;
white-space: nowrap;
}
/* An in-flow copy of the widest tick gives the positioned scale its width. */
.ghdiagram-html .ghdiagram-html__axis-sizer { display: block; visibility: hidden; height: 0; }
/* The rules sit behind the bars; they are decoration, not content. */
.ghdiagram-html .ghdiagram-html__grid {
position: absolute;
top: 0;
left: 0;
right: 0;
height: var(–ghd-bar-plot-height, 136px);
pointer-events: none;
}
.ghdiagram-html .ghdiagram-html__axis-rule {
position: absolute;
left: 0;
right: 0;
border-top: 1px solid var(–ghd-border);
}
.ghdiagram-html .ghdiagram-html__axis-rule–base { border-top-color: var(–ghd-text); }
/* The bars sit above the rules, as in a plotted chart. */
.ghdiagram-html .ghdiagram-html__plot .ghdiagram-html__bars { position: relative; }
.ghdiagram-html .ghdiagram-html__chart .ghdiagram-html__bar-fill { width: min(72%, 56px); }
.ghdiagram-html .ghdiagram-html__bar { display: grid; grid-template-rows: auto auto; min-width: 0; }
.ghdiagram-html .ghdiagram-html__bar-plot {
grid-row: 1;
display: flex;
flex-direction: column;
align-items: center;
justify-content: flex-end;
gap: 4px;
height: 120px;
border-bottom: 1px solid var(–ghd-border);
}
.ghdiagram-html .ghdiagram-html__bar-value {
color: var(–ghd-text);
font: 500 13px/20px “GH Diagram Sans”, sans-serif;
font-variant-numeric: tabular-nums;
white-space: nowrap;
}
.ghdiagram-html .ghdiagram-html__bar-fill {
display: block;
flex: none;
width: min(60%, 32px);
border-radius: 4px 4px 0 0;
background: var(–ghd-emphasis, var(–ghd-connector));
}
.ghdiagram-html .ghdiagram-html__bar-label {
grid-row: 2;
padding-top: 4px;
color: var(–ghd-muted);
font: 400 13px/20px “GH Diagram Sans”, sans-serif;
text-align: center;
overflow-wrap: anywhere;
}
.ghdiagram-html .ghdiagram-html__table {
width: 100%;
border-collapse: collapse;
border-spacing: 0;
font-variant-numeric: tabular-nums;
}
.ghdiagram-html .ghdiagram-html__table th,
.ghdiagram-html .ghdiagram-html__table td {
padding: 4px 0 4px 16px;
border: 0;
text-align: end;
vertical-align: baseline;
}
.ghdiagram-html .ghdiagram-html__table :is(th, td):first-child { padding-left: 0; text-align: start; }
.ghdiagram-html .ghdiagram-html__table-head {
padding-bottom: 8px;
color: var(–ghd-muted);
font: 500 12px/16px “GH Diagram Mono”, monospace;
font-variation-settings: normal;
}
.ghdiagram-html .ghdiagram-html__table-row-head,
.ghdiagram-html .ghdiagram-html__table-cell {
color: var(–ghd-text);
font: 400 15px/22px “GH Diagram Sans”, sans-serif;
overflow-wrap: anywhere;
}
/* Labeled group boundaries are measured around their member cards. */
.ghdiagram-html .ghdiagram-html__group rect { fill: none; stroke: var(–ghd-border); stroke-width: 1px; }
.ghdiagram-html .ghdiagram-html__group-label {
position: absolute;
z-index: 1;
margin: 0;
color: var(–ghd-muted);
font: 500 14px/20px “GH Diagram Sans”, sans-serif;
white-space: nowrap;
}
.ghdiagram-html .ghdiagram-html__connections {
position: absolute;
inset: 0;
display: block;
width: 100%;
height: 100%;
overflow: visible;
pointer-events: none;
}
.ghdiagram-html .ghdiagram-html__connections path { fill: none; stroke: var(–ghd-connector); stroke-width: 1.75px; stroke-linecap: round; stroke-linejoin: round; }
.ghdiagram-html .ghdiagram-html__edge-label {
position: absolute;
z-index: 2;
padding: 4px 8px;
border-radius: 4px;
background: var(–ghd-card);
color: var(–ghd-muted);
font: 400 14px/20px “GH Diagram Mono”, monospace;
font-variation-settings: normal;
white-space: nowrap;
}
.ghdiagram-html .ghdiagram-html__error { margin: 12px 0; color: #cf222e; font: 400 14px/22px system-ui, sans-serif; }

/* Shared semantic model/routing and legacy v1 scene support. Never part of a chart bundle. */
(function (global) {
“use strict”;
var VERSION = 22;
if (global.GHDiagramEngine && global.GHDiagramEngine.version >= VERSION) return;

var NS = “http://www.w3.org/2000/svg”;
var FAMILY = “GH Diagram Mona Sans”;
var FONTS = [
{ family: “Mona Sans”, style: “Regular”, weight: 400 },
{ family: “Mona Sans”, style: “SemiBold”, weight: 600 },
{ family: “Mona Sans”, style: “Bold”, weight: 700 }
];
var C = { text: “#1f2328”, muted: “#59636e”, border: “#c4ccc6”, inset: “#f2f5f3”, white: “#ffffff” };
var TONES = {
danger: { foreground: “#cf222e”, marker: “#cf222e”, background: “#ffebe9”, border: “#ffcecb” },
warning: { foreground: “#9a6700”, marker: “#bf8700”, background: “#fff8c5”, border: “#eed888” },
success: { foreground: “#1a7f37”, marker: “#1a7f37”, background: “#dafbe1”, border: “#aceebb” }
};

// Unmodified 16px paths from primer/octicons, pinned below. All use nonzero fill.
var OCTICONS = {
“arrow-up-right”: [“M4.53 4.75A.75.75 0 0 1 5.28 4h6.01a.75.75 0 0 1 .75.75v6.01a.75.75 0 0 1-1.5 0v-4.2l-5.26 5.261a.749.749 0 0 1-1.275-.326.749.749 0 0 1 .215-.734L9.48 5.5h-4.2a.75.75 0 0 1-.75-.75Z”],
“arrow-down-right”: [“M4.22 4.179a.75.75 0 0 1 1.06 0l5.26 5.26v-4.2a.75.75 0 0 1 1.5 0v6.01a.75.75 0 0 1-.75.75H5.28a.75.75 0 0 1 0-1.5h4.2L4.22 5.24a.75.75 0 0 1 0-1.06Z”],
“mark-github”: [“M6.766 11.328c-2.063-.25-3.516-1.734-3.516-3.656 0-.781.281-1.625.75-2.188-.203-.515-.172-1.609.063-2.062.625-.078 1.468.25 1.968.703.594-.187 1.219-.281 1.985-.281.765 0 1.39.094 1.953.265.484-.437 1.344-.765 1.969-.687.218.422.25 1.515.046 2.047.5.593.766 1.39.766 2.203 0 1.922-1.453 3.375-3.547 3.64.531.344.89 1.094.89 1.954v1.625c0 .468.391.734.86.547C13.781 14.359 16 11.53 16 8.03 16 3.61 12.406 0 7.984 0 3.563 0 0 3.61 0 8.031a7.88 7.88 0 0 0 5.172 7.422c.422.156.828-.125.828-.547v-1.25c-.219.094-.5.156-.75.156-1.031 0-1.64-.562-2.078-1.609-.172-.422-.36-.672-.719-.719-.187-.015-.25-.093-.25-.187 0-.188.313-.328.625-.328.453 0 .844.281 1.25.86.313.452.64.655 1.031.655s.641-.14 1-.5c.266-.265.47-.5.657-.656”],
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var OCTICON_SOURCE = “https://github.com/primer/octicons/tree/90af1f14984832de34e94b2d530043fbcf85eb7f”;
var OCTICON_LICENSE = [
“MIT License”, “”, “Copyright (c) 2026 GitHub Inc.”, “”,
‘Permission is hereby granted, free of charge, to any person obtaining a copy’,
‘of this software and associated documentation files (the “Software”), to deal’,
“in the Software without restriction, including without limitation the rights”,
“to use, copy, modify, merge, publish, distribute, sublicense, and/or sell”,
“copies of the Software, and to permit persons to whom the Software is”,
“furnished to do so, subject to the following conditions:”, “”,
“The above copyright notice and this permission notice shall be included in all”,
“copies or substantial portions of the Software.”, “”,
‘THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR’,
“IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,”,
“FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE”,
“AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER”,
“LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,”,
“OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE”,
“SOFTWARE.”
].join(“n”);

function icon(name) {
requireThat(Object.prototype.hasOwnProperty.call(OCTICONS, name), “unsupported 16px Octicon: ” + name);
return { name: name, width: 16, height: 16, paths: OCTICONS[name].map(function (data) {
return { data: data, windingRule: “NONZERO” };
}) };
}
function iconAssets(config) {
var icons = {};
config.nodes.forEach(function (node) {
if (node.icon) icons[node.icon] = icon(node.icon);
(node.chips || []).forEach(function (chip) { if (chip.icon) icons[chip.icon] = icon(chip.icon); });
});
return { source: OCTICON_SOURCE, size: 16, license: OCTICON_LICENSE, icons: icons };
}
function tone(name) {
requireThat(Object.prototype.hasOwnProperty.call(TONES, name), “unsupported semantic tone: ” + name);
return Object.assign({}, TONES[name]);
}
function textOn(background) {
color(background, “step color”);
return contrast(C.white, background) >= 3 ? C.white : C.text;
}
function requireThat(condition, message) {
if (!condition) throw new Error(“Diagram: ” + message);
}
function number(value, label, minimum) {
requireThat(typeof value === “number” && Number.isFinite(value) && value >= minimum,
label + ” must be a finite number >= ” + minimum + “.”);
}
function text(value, label, allowEmpty) {
requireThat(typeof value === “string” && (allowEmpty || value.trim().length > 0), label + ” must be text.”);
}
function slug(value, label) {
requireThat(typeof value === “string” && /^[a-z][a-z0-9-]*$/.test(value), label + ” must be a lowercase slug.”);
}
function color(value, label) {
requireThat(typeof value === “string” && /^#[0-9a-f]{6}$/i.test(value), label + ” must be a six-digit hex color.”);
}
function flag(object, key) {
requireThat(object[key] === undefined || typeof object[key] === “boolean”, key + ” must be Boolean.”);
}
function unique(ids, id, label) {
slug(id, label);
requireThat(!ids.has(id), “duplicate ” + label + “: ” + id);
ids.add(id);
}
function rgb(hex) {
return [1, 3, 5].map(function (i) { return parseInt(hex.slice(i, i + 2), 16); });
}
// The same 30%-black emphasis step used by blog-chart-design’s strongOf().
function strongOf(hex) {
return “#” + rgb(hex).map(function (v) { return Math.round(v * 0.7).toString(16).padStart(2, “0”); }).join(“”);
}
// Essential accent text and marks (stats, bars): the accent itself when it
// reaches 3:1 on white, otherwise its emphasis step, the connector color.
function emphasisOf(hex) {
color(hex, “accent”);
return contrast(hex, C.white) >= 3 ? hex : strongOf(hex);
}
function formatValue(value) {
return Number(value).toLocaleString(“en-US”);
}
function cellText(cell) {
return typeof cell === “string” ? cell : cell.text;
}
function luminance(hex) {
var v = rgb(hex).map(function (c) {
c /= 255;
return c <= 0.04045 ? c / 12.92 : Math.pow((c + 0.055) / 1.055, 2.4);
});
return v[0] * 0.2126 + v[1] * 0.7152 + v[2] * 0.0722;
}
function contrast(a, b) {
var x = luminance(a), y = luminance(b);
return (Math.max(x, y) + 0.05) / (Math.min(x, y) + 0.05);
}

function connectionGeometry(edge, boxes, yOffset) {
function port(endpoint) {
var n = boxes[endpoint.node], f = endpoint.offset === undefined ? 0.5 : endpoint.offset;
requireThat(n, "missing endpoint bounds on " + edge.id);
var p = { x: n.x, y: n.y }, normal;
if (endpoint.side === "top" || endpoint.side === "bottom") {
p.x += n.width * f;
if (endpoint.side === "bottom") p.y += n.height;
normal = { x: 0, y: endpoint.side === "top" ? -1 : 1 };
} else {
p.y += n.height * f;
if (endpoint.side === "right") p.x += n.width;
normal = { x: endpoint.side === "left" ? -1 : 1, y: 0 };
}
return { point: p, normal: normal };
}
var from = port(edge.from), to = port(edge.to);
var a = from.point, b = to.point;
// Opposed straight connectors can drift a few px apart when a fixed
// fractional port offset was tuned for one width but is viewed at another
// (the fixed layout padding is a larger share of a narrow plane, so a
// bottom-centre port and a top-offset port no longer share an axis). Left
// alone the orthogonal router inserts a tiny mid-line "jog" that reads as a
// broken arrow. When the perpendicular gap is sub-threshold and there are no
// explicit waypoints, snap both endpoints onto one axis so the shaft stays a
// single straight segment with its arrowheads still attached.
var SNAP = 12;
if (!(edge.via && edge.via.length)) {
if (from.normal.y && to.normal.y && Math.abs(a.x – b.x) <= SNAP) {
a.x = b.x = (a.x + b.x) / 2;
} else if (from.normal.x && to.normal.x && Math.abs(a.y – b.y) <= SNAP) {
a.y = b.y = (a.y + b.y) / 2;
}
}
var start = { x: a.x + from.normal.x * 16, y: a.y + from.normal.y * 16 };
var end = { x: b.x + to.normal.x * 16, y: b.y + to.normal.y * 16 };
var points = [a, start];
if (edge.via && edge.via.length) {
points = points.concat(edge.via.map(function (p) { return { x: p.x, y: p.y + (yOffset || 0) }; }));
} else if (from.normal.y && to.normal.y) {
var midY = (start.y + end.y) / 2;
points.push({ x: start.x, y: midY }, { x: end.x, y: midY });
} else if (from.normal.x && to.normal.x) {
var midX = (start.x + end.x) / 2;
points.push({ x: midX, y: start.y }, { x: midX, y: end.y });
} else if (from.normal.y) points.push({ x: start.x, y: end.y });
else points.push({ x: end.x, y: start.y });
points.push(end, b);
points = points.filter(function (p, i, all) {
return i === 0 || p.x !== all[i – 1].x || p.y !== all[i – 1].y;
});
return { from: from, to: to, points: points };
}

// A labeled boundary hugs its measured member cards: 16px beside and below
// them, and a 12px inset, 20px label line and 12px gap above the first card.
var GROUP_BOX = { inset: 16, labelInset: 12, labelLine: 20, labelGap: 12, radius: 8, dash: [6, 4] };
function groupGeometry(group, boxes) {
var left = Infinity, top = Infinity, right = -Infinity, bottom = -Infinity;
group.nodes.forEach(function (id) {
var box = boxes[id];
requireThat(box, "missing member bounds for group " + group.id);
left = Math.min(left, box.x); top = Math.min(top, box.y);
right = Math.max(right, box.x + box.width); bottom = Math.max(bottom, box.y + box.height);
});
var head = GROUP_BOX.labelInset + GROUP_BOX.labelLine + GROUP_BOX.labelGap;
var box = { x: left – GROUP_BOX.inset, y: top – head,
width: right – left + GROUP_BOX.inset * 2, height: bottom – top + head + GROUP_BOX.inset };
return { box: box, label: { x: box.x + GROUP_BOX.inset, y: box.y + GROUP_BOX.labelInset } };
}
// Where a connection that crosses group boundaries shows its label: the
// center of the longest stretch of its orthogonal route outside every
// outline, such as the gap between two groups. Returns null when no part of
// the route lies inside an outline, or none lies outside, so those labels
// keep the route's midpoint.
function labelStretch(points, outlines) {
var close = function (a, b) { return Math.abs(a – b) < 0.1; };
// Merge collinear runs so one straight line counts as one stretch.
var route = points.filter(function (p, i) {
if (!i || i === points.length – 1) return true;
var a = points[i – 1], b = points[i + 1];
return !((close(a.x, p.x) && close(b.x, p.x)) || (close(a.y, p.y) && close(b.y, p.y)));
});
var best = null, inside = false;
for (var i = 1; i box.x && a.x box.y && a.y low && cut[0] (best ? best.length : 0)) best = { vertical: vertical, at: vertical ? a.x : a.y, start: cursor, length: length };
cursor = Math.max(cursor, cut[1]);
});
}
if (!inside || !best) return null;
var middle = best.start + best.length / 2;
return { x: best.vertical ? best.at : middle, y: best.vertical ? middle : best.at, length: best.length, vertical: best.vertical };
}
// Source features the HTML renderer supports but the legacy v1 scene does not.
function legacyGaps(config) {
var gaps = [];
if (config.subtitle !== undefined || config.badge !== undefined || config.note !== undefined) {
gaps.push(“header subtitle, badge or note”);
}
if (config.layout && config.layout.groups) gaps.push(“group boundaries”);
if (config.theme && config.theme.style) gaps.push(“the ” + config.theme.style + ” theme”);
var nodes = config.nodes || [];
if (nodes.some(function (node) { return node.bars; })) gaps.push(“bars”);
if (nodes.some(function (node) { return node.table; })) gaps.push(“tables”);
if (nodes.some(function (node) { return node.variant === “callout” && !node.body; })) gaps.push(“title-only callouts”);
if (nodes.some(function (node) { return node.compact; })) gaps.push(“compact tiles”);
if (nodes.some(function (node) { return node.eyebrow !== undefined; })) gaps.push(“node eyebrows”);
return gaps;
}

function validate(config) {
requireThat(config && config.schemaVersion === 1 && config.kind === “diagram”, “unsupported source format/version.”);
slug(config.id, “diagram id”);
text(config.name, “name”);
// An empty title omits the visible heading when the publishing page supplies its own.
text(config.title, “title”, true);
text(config.altText, “altText”);
if (config.eyebrow !== undefined) text(config.eyebrow, “eyebrow”, true);
[“subtitle”, “badge”, “note”].forEach(function (key) {
if (config[key] !== undefined) text(config[key], key);
});
requireThat(config.theme && typeof config.theme === “object”, “theme is required.”);
color(config.theme.accent, “accent”);
// An optional named theme stylesheet (for example “commandline”) restyles one diagram.
if (config.theme.style !== undefined) slug(config.theme.style, “theme style”);
requireThat(contrast(strongOf(config.theme.accent), C.inset) >= 3,
“choose a darker accent; its emphasis step needs 3:1 contrast for essential connectors.”);
requireThat([1, 2, 3].indexOf(config.exportScale) !== -1, “exportScale must be 1, 2, or 3.”);
var layout = config.layout;
requireThat(layout && typeof layout === “object”, “layout is required.”);
number(layout.width, “layout.width”, 320);
number(layout.padding, “layout.padding”, 16);
number(layout.rowGap, “layout.rowGap”, 32);
number(layout.columnGap, “layout.columnGap”, 24);
flag(layout, “flow”);
requireThat(!layout.flow || Array.isArray(layout.rows), “flow layout requires rows.”);
if (layout.iconSize !== undefined) requireThat([16, 24, 32].indexOf(layout.iconSize) !== -1, “iconSize must be 16, 24, or 32.”);
if (layout.statScale !== undefined) requireThat([1.5, 2].indexOf(layout.statScale) !== -1, “statScale must be 1.5 or 2.”);
if (layout.minCardWidth !== undefined) {
requireThat(layout.flow, “minCardWidth requires flow layout.”);
number(layout.minCardWidth, “minCardWidth”, 128);
}
requireThat(layout.width > layout.padding * 2 + 100, “layout is too narrow for its padding.”);
requireThat(Array.isArray(config.nodes) && config.nodes.length > 0, “nodes must be a nonempty array.”);
requireThat(Array.isArray(config.edges), “edges must be an array.”);
var ids = new Set();
var byId = Object.create(null);
config.nodes.forEach(function (node) {
requireThat(node && typeof node === “object”, “each node must be an object.”);
unique(ids, node.id, “node id”);
requireThat(node.id !== “header”, ‘”header” is reserved for the diagram heading.’);
byId[node.id] = node;
text(node.title, node.id + ” title”);
requireThat([“card”, “annotation”, “decision”, “terminal”].indexOf(node.shape) !== -1, “unknown shape on ” + node.id);
[“body”, “badge”, “eyebrow”].forEach(function (key) {
if (node[key] !== undefined) text(node[key], node.id + ” ” + key);
});
[“dashed”, “accent”, “dividers”, “compact”].forEach(function (key) { flag(node, key); });
// A compact tile: centered icon over a short title, for rows of many narrow cards.
if (node.compact) {
requireThat(node.shape === “card” && !node.variant && !node.chips && !node.sections && !node.bars &&
!node.table && !node.stat && !node.badge && !node.accent, node.id + “: compact tiles use title, icon and body only.”);
}
requireThat(!node.dividers || (node.sections && node.sections.length === 2 && node.columns === 2) ||
(node.variant === “callout” && node.body !== undefined),
“dividers require exactly two section columns or a callout with a body.”);
if (node.stat !== undefined) {
text(node.stat, “stat”);
requireThat(node.shape === “card” && !node.badge && !node.variant, “stats require an unbadged card.”);
}
if (node.statIndicator !== undefined) {
requireThat(node.stat !== undefined && [“up”, “down”].indexOf(node.statIndicator) !== -1,
“statIndicator requires a stat and must be up or down.”);
}
if (node.statTone !== undefined) {
requireThat(node.stat !== undefined, “statTone requires a stat on ” + node.id + “.”);
tone(node.statTone);
}
if (node.step !== undefined) {
requireThat(node.variant === “section-heading” && !node.icon, “steps require a section heading without an icon.”);
requireThat(node.step && typeof node.step === “object” && /^[1-9][0-9]?$/.test(node.step.text) &&
typeof node.step.text === “string”, “step text must be a section number from 1 to 99.”);
if (node.step.color !== undefined) color(node.step.color, “step color”);
}
if (node.icon !== undefined) { slug(node.icon, “icon”); icon(node.icon); }
if (node.iconColor !== undefined) color(node.iconColor, “iconColor”);
if (node.variant !== undefined) {
requireThat(node.shape === “annotation” && [“section-heading”, “caption”, “callout”].indexOf(node.variant) !== -1,
“unsupported annotation variant on ” + node.id);
requireThat(!node.chips && !node.sections && !node.badge && !node.accent && !node.bars && !node.table,
“annotation variants use title, body and icon only.”);
if (node.variant === “callout”) requireThat(node.icon, “callout requires an icon.”);
}
if (node.minHeight !== undefined) number(node.minHeight, “minHeight”, 0);
if (node.columns !== undefined) requireThat([1, 2].indexOf(node.columns) !== -1, “columns must be 1 or 2.”);
if (node.chips !== undefined) {
requireThat(Array.isArray(node.chips), “chips must be an array.”);
node.chips.forEach(function (chip) {
requireThat(chip && typeof chip === “object”, “each chip must be an object.”);
text(chip.text, “chip text”);
flag(chip, “dashed”);
if (chip.icon !== undefined) { slug(chip.icon, “chip icon”); icon(chip.icon); }
if (chip.tone !== undefined) tone(chip.tone);
});
}
if (node.sections !== undefined) {
requireThat(Array.isArray(node.sections), “sections must be an array.”);
var sections = new Set();
node.sections.forEach(function (section) {
requireThat(section && typeof section === “object”, “each section must be an object.”);
unique(sections, section.id, “section id”);
text(section.title, “section title”);
requireThat((section.body !== undefined) !== (section.items !== undefined), “sections require body OR items.”);
if (section.body !== undefined) text(section.body, “section body”);
if (section.items !== undefined) {
requireThat(Array.isArray(section.items) && section.items.length > 0, “section items must be a nonempty array.”);
section.items.forEach(function (item) {
requireThat(item && typeof item === “object”, “list items must be objects.”);
text(item.text, “list item text”);
if (item.tone !== undefined) tone(item.tone);
});
}
});
}
if (node.bars !== undefined) {
requireThat(Array.isArray(node.bars) && node.bars.length > 0, node.id + ” bars must be a nonempty array.”);
node.bars.forEach(function (bar) {
requireThat(bar && typeof bar === “object”, “each bar must be an object.”);
text(bar.label, “bar label”);
number(bar.value, “bar value”, 0);
});
requireThat(node.bars.some(function (bar) { return bar.value > 0; }), node.id + ” bars need a positive value.”);
}
if (node.barAxis !== undefined) {
requireThat(node.bars !== undefined, node.id + ” barAxis needs bars.”);
var axis = node.barAxis;
requireThat(axis && typeof axis === “object”, node.id + ” barAxis must be an object.”);
number(axis.max, “barAxis max”, 0);
number(axis.step, “barAxis step”, 0);
requireThat(axis.max > 0 && axis.step > 0, node.id + ” barAxis needs a positive max and step.”);
requireThat(axis.max / axis.step <= 12, node.id + " barAxis max/step must be 12 ticks or fewer.");
// Bars are drawn against the axis, so the axis has to contain them.
requireThat(node.bars.every(function (bar) { return bar.value = 2,
node.id + ” table needs at least two columns.”);
// Only the row-header column may leave its column heading empty.
table.columns.forEach(function (column, i) { text(column, “table column heading”, i === 0); });
requireThat(Array.isArray(table.rows) && table.rows.length > 0, node.id + ” table rows must be a nonempty array.”);
table.rows.forEach(function (row) {
requireThat(Array.isArray(row) && row.length === table.columns.length, node.id + ” table rows must match its columns.”);
row.forEach(function (cell) {
requireThat(typeof cell === “string” || (cell && typeof cell === “object”),
“table cells must be text or { text, tone } objects.”);
text(cellText(cell), “table cell”);
if (typeof cell === “object” && cell.tone !== undefined) tone(cell.tone);
});
});
}
if (node.shape === “decision” || node.shape === “terminal”) {
requireThat(!node.chips && !node.sections && !node.badge && !node.accent && !node.icon && !node.variant &&
!node.bars && !node.table, node.shape + ” nodes support title/body only.”);
}
});
requireThat(Array.isArray(layout.rows) !== Array.isArray(layout.placements), “choose rows OR placements.”);
var placed = new Set();
function place(id) {
requireThat(byId[id] && !placed.has(id), “unknown or repeated placement: ” + id);
placed.add(id);
}
if (layout.rows) {
layout.rows.forEach(function (row) {
requireThat(Array.isArray(row) && row.length > 0, “each layout row must contain node IDs.”);
row.forEach(place);
});
} else {
layout.placements.forEach(function (p) {
requireThat(p && typeof p === “object”, “invalid placement.”);
place(p.node);
number(p.x, “placement.x”, layout.padding);
number(p.y, “placement.y”, 0);
number(p.width, “placement.width”, 100);
requireThat(p.x + p.width 0, “groups must be a nonempty array.”);
var groupIds = new Set(), grouped = new Set();
layout.groups.forEach(function (group) {
requireThat(group && typeof group === “object”, “each group must be an object.”);
unique(groupIds, group.id, “group id”);
requireThat(!byId[group.id], “group id ” + group.id + ” duplicates a node id.”);
text(group.title, “group title”);
flag(group, “dashed”);
requireThat(Array.isArray(group.nodes) && group.nodes.length > 0, “group ” + group.id + ” needs member nodes.”);
group.nodes.forEach(function (id) {
requireThat(byId[id], “group ” + group.id + ” references unknown node ” + id + “.”);
requireThat(!grouped.has(id), id + ” belongs to more than one group.”);
grouped.add(id);
});
});
}
var edgeIds = new Set();
var flowOrder = layout.flow ? layout.rows.reduce(function (all, row) { return all.concat(row); }, []) : [];
config.edges.forEach(function (edge) {
requireThat(edge && typeof edge === “object”, “each edge must be an object.”);
unique(edgeIds, edge.id, “edge id”);
[“from”, “to”].forEach(function (key) {
var port = edge[key];
requireThat(port && byId[port.node], “dangling endpoint on ” + edge.id);
requireThat([“top”, “right”, “bottom”, “left”].indexOf(port.side) !== -1, “invalid port side on ” + edge.id);
if (port.offset !== undefined) {
number(port.offset, “port offset”, 0);
requireThat(port.offset <= 1, "port offset exceeds 1.");
if (["decision", "terminal"].indexOf(byId[port.node].shape) !== -1) {
requireThat(port.offset === 0.5, "decision/terminal ports must be centered.");
}
}
});
requireThat(edge.from.node !== edge.to.node, "self connections require a separate explicit annotation.");
requireThat(["forward", "both", "none"].indexOf(edge.direction) !== -1, "invalid edge direction.");
flag(edge, "dashed");
if (layout.flow) {
requireThat(flowOrder.indexOf(edge.to.node) === flowOrder.indexOf(edge.from.node) + 1,
"flow connections must follow adjacent nodes in reading order.");
requireThat(edge.via === undefined && edge.from.offset === undefined && edge.to.offset === undefined,
"flow connections use measured centered ports, not fixed waypoints or offsets.");
}
if (edge.label !== undefined) text(edge.label, "edge label");
if (edge.via !== undefined) {
requireThat(Array.isArray(edge.via), "via must be an array.");
edge.via.forEach(function (p) {
requireThat(p && typeof p === "object", "invalid waypoint.");
number(p.x, "waypoint.x", 0);
number(p.y, "waypoint.y", 0);
});
}
});
}

function flowGeometry(edge, boxes, yOffset) {
var from = boxes[edge.from.node], to = boxes[edge.to.node];
requireThat(from && to, "missing flow endpoint bounds on " + edge.id);
var sameRow = Math.abs(from.y – to.y) = from.x + from.width : to.y >= from.y + from.height,
edge.id + ” does not follow the flow’s visual reading order.”);
return connectionGeometry(Object.assign({}, edge, {
from: { node: edge.from.node, side: sameRow ? “right” : “bottom” },
to: { node: edge.to.node, side: sameRow ? “left” : “top” }
}), boxes, yOffset);
}

function loadFonts() {
requireThat(document.fonts && document.fonts.load, “this browser cannot load the required fonts.”);
return Promise.all(FONTS.map(function (font) {
return document.fonts.load(font.weight + ‘ 16px “‘ + FAMILY + ‘”‘).then(function (faces) {
requireThat(faces.some(function (face) {
return face.status === “loaded” && face.weight === String(font.weight) &&
face.family.replace(/[“‘]/g, “”) === FAMILY;
}),
“Mona Sans ” + font.style + ” is unavailable. Serve the bundled diagram.css and assets/fonts/ files.”);
}, function (error) {
throw new Error(“Diagram: could not load Mona Sans ” + font.style +
“. Check the bundled assets/fonts/ files. ” + error.message);
});
}));
}

function makeScene(config) {
var ctx = document.createElement(“canvas”).getContext(“2d”);
requireThat(ctx, “text measurement is unavailable.”);
var accent = config.theme.accent;
var emphasis = strongOf(accent);
function widthOf(value, size, weight) {
ctx.font = weight + ” ” + size + ‘px “‘ + FAMILY + ‘”‘;
if (“fontKerning” in ctx) ctx.fontKerning = “normal”;
return ctx.measureText(value).width;
}
function wrap(value, width, size, weight) {
requireThat(width > 0, “text column has no available width.”);
var lines = [];
value.split(“n”).forEach(function (paragraph) {
var words = paragraph.trim().split(/s+/);
var line = “”;
words.forEach(function (word) {
requireThat(widthOf(word, size, weight) width) {
lines.push(line);
line = word;
} else line = next;
});
lines.push(line);
});
return lines.join(“n”);
}
function label(id, value, width, size, weight, lineHeight, fill, align) {
var wrapped = wrap(value, width, size, weight);
return {
id: id, name: value, type: “text”, x: 0, y: 0,
width: width, height: wrapped.split(“n”).length * lineHeight,
text: wrapped, sourceText: value, fontFamily: “Mona Sans”,
fontStyle: weight === 700 ? “Bold” : weight === 600 ? “SemiBold” : “Regular”,
fontWeight: weight, fontSize: size, lineHeight: lineHeight,
color: fill || C.text, align: align || “left”
};
}
function group(id, name, width, height, children, layout) {
var g = { id: id, name: name, type: “group”, x: 0, y: 0, width: width, height: height, children: children };
if (layout) g.layout = layout;
return g;
}
function stack(id, name, width, children, gap) {
var y = 0;
children.forEach(function (child, i) {
child.y = y;
y += child.height + (i < children.length – 1 ? gap : 0);
});
return group(id, name, width, y, children, { direction: "vertical", gap: gap, padding: 0, align: "start" });
}
var iconSize = config.layout.iconSize || 16;
function glyph(id, name, fill) {
return { id: id, name: "Octicon " + name, type: "icon",
x: 0, y: 0, width: iconSize, height: iconSize, paths: icon(name).paths,
fill: fill || emphasis, stroke: null, strokeWidth: 0 };
}
function divider(id, height) {
return { id: id, name: "Divider", type: "rect", x: 0, y: 0, width: 1, height: height,
fill: C.border, stroke: null, strokeWidth: 0, radius: 0 };
}
function list(id, items, width) {
return stack(id, "Bulleted list", width, items.map(function (item, i) {
var t = label(id + "/" + i + "/text", item.text, width – 10, 13, 400, 20, C.muted);
t.x = 10;
var marker = { id: id + "/" + i + "/marker", name: item.tone || "Bullet", type: "ellipse",
x: 0, y: 7, width: 6, height: 6, fill: item.tone ? tone(item.tone).marker : C.muted,
stroke: null, strokeWidth: 0 };
return group(id + "/" + i, item.text, width, t.height, [marker, t]);
}), 4);
}
function chip(id, value, dashed, maxWidth, details) {
details = details || {};
var colors = details.tone ? tone(details.tone) : null;
var iconSpace = details.icon ? iconSize + 8 : 0;
// Native Figma short-label metrics can be up to 2px wider than the browser.
var w = Math.min(Math.ceil(widthOf(value, 14, 400)) + 2 + 20 + iconSpace, maxWidth || Infinity);
var t = label(id + "/text", value, w – 20 – iconSpace, 14, 400, 20, colors ? colors.foreground : C.text);
t.x = 10 + iconSpace; t.y = 6;
var parts = [t];
if (details.icon) {
var image = glyph(id + "/icon", details.icon, colors ? colors.foreground : emphasis);
image.x = 10; image.y = 6; parts.unshift(image);
}
var result = group(id, value, w, Math.max(t.height, details.icon ? iconSize : 0) + 12, parts);
Object.assign(result, { fill: colors ? colors.background : C.white,
stroke: colors ? colors.border : C.border, strokeWidth: 1, radius: 6 });
if (dashed) result.dash = [4, 3];
return result;
}
function makeNode(node, width) {
var plain = node.variant === "section-heading" || node.variant === "caption";
var pad = plain ? 0 : config.layout.flow ? 12 : 24;
var inner = width – pad * 2;
var children = [];
var callout = node.variant === "callout", bodyHandled = false;
if (node.icon && !callout) children.push(glyph(node.id + "/icon", node.icon, node.iconColor));
var headWidth = node.step ? inner – 52 : callout ? (inner – iconSize – 32) / 2.4 : inner;
var badge;
if (node.badge) {
badge = chip(node.id + "/badge", node.badge, true);
headWidth -= badge.width + 12;
}
var heading = label(node.id + "/title", node.title, headWidth,
node.variant === "section-heading" || callout ? 22 : node.variant === "caption" ? 14 : node.accent ? 20 : 18,
600, node.variant === "section-heading" || callout ? 30 : node.variant === "caption" ? 20 : 26,
C.text, node.variant === "caption" ? "center" : "left");
if (node.step) {
var stepColor = node.step.color || accent;
var stepText = label(node.id + "/step/text", node.step.text, 40, 24, 600, 40, textOn(stepColor), "center");
var step = group(node.id + "/step", "Section " + node.step.text, 40, 40, [
{ id: node.id + "/step/circle", name: "Section circle", type: "ellipse",
x: 0, y: 0, width: 40, height: 40, fill: stepColor, stroke: null, strokeWidth: 0 },
stepText
]);
var headingParts = [heading];
if (node.body) headingParts.push(label(node.id + "/body", node.body, headWidth, 15, 400, 22, C.muted));
var headingCopy = stack(node.id + "/heading-stack", node.title, headWidth, headingParts, 2);
headingCopy.y = 5;
var right = group(node.id + "/heading-copy", node.title, headWidth, headingCopy.height + 5, [headingCopy]);
right.x = 52;
children.push(group(node.id + "/numbered-heading", node.title, inner, Math.max(40, right.height), [step, right],
{ direction: "horizontal", gap: 12, padding: 0, align: "start" }));
bodyHandled = true;
} else if (callout) {
var bodyWidth = inner – iconSize – 32 – headWidth;
var inset = node.dividers ? 17 : 0;
var body = label(node.id + "/body", node.body, bodyWidth – inset, 15, 400, 22, C.muted);
var calloutIcon = glyph(node.id + "/icon", node.icon);
var calloutHeight = Math.max(iconSize, heading.height, body.height);
body.x = inset; body.y = (calloutHeight – body.height) / 2;
var bodyParts = [body];
if (node.dividers) bodyParts.unshift(divider(node.id + "/divider", calloutHeight));
var bodyGroup = group(node.id + "/body-group", "Agreement explanation", bodyWidth, calloutHeight, bodyParts);
calloutIcon.y = (calloutHeight – iconSize) / 2;
heading.x = iconSize + 16; heading.y = (calloutHeight – heading.height) / 2;
bodyGroup.x = heading.x + headWidth + 16;
children.push(group(node.id + "/callout", node.title, inner, calloutHeight, [calloutIcon, heading, bodyGroup],
{ direction: "horizontal", gap: 16, padding: 0, align: "center" }));
bodyHandled = true;
} else if (node.stat) {
var size = (node.accent ? 20 : 18) * (config.layout.statScale || 2);
children.push(stack(node.id + "/stat-heading", node.title, inner,
[label(node.id + "/stat", node.stat, inner, size, 600, size * 1.2,
node.statTone ? tone(node.statTone).foreground : emphasisOf(accent)), heading], 4));
} else if (badge) {
var rowHeight = Math.max(heading.height, badge.height);
heading.y = (rowHeight – heading.height) / 2;
badge.x = headWidth + 12;
badge.y = (rowHeight – badge.height) / 2;
children.push(group(node.id + "/heading", node.title, inner, rowHeight, [heading, badge]));
} else children.push(heading);
if (node.body && !bodyHandled) children.push(label(node.id + "/body", node.body, inner, 15, 400, 22, C.muted));
if (node.chips && node.chips.length) {
var rows = [], row = [], x = 0, rowIndex = 0;
function finishRow() {
var height = Math.max.apply(null, row.map(function (item) { return item.height; }));
row.forEach(function (item) { item.y = (height – item.height) / 2; });
rows.push(group(node.id + "/chips-row-" + rowIndex, "Labels", inner, height, row,
{ direction: "horizontal", gap: 8, padding: 0, align: "center" }));
row = []; x = 0; rowIndex++;
}
node.chips.forEach(function (item, i) {
var c = chip(node.id + "/chip-" + i, item.text, item.dashed, config.layout.flow ? inner : undefined, item);
requireThat(c.width inner) finishRow();
c.x = x; row.push(c); x += c.width + 8;
});
if (row.length) finishRow();
children.push(stack(node.id + “/chips”, “Labels”, inner, rows, 8));
}
if (node.sections && node.sections.length) {
var compactSections = node.dividers || node.sections.every(function (section) { return section.items; });
var columns = node.columns || 1;
if (config.layout.flow && inner < 220 && !compactSections) columns = 1;
var sectionGap = compactSections ? 8 : 24;
var cellWidth = (inner – sectionGap * (columns – 1)) / columns;
var firstWidth = cellWidth;
var asymmetric = compactSections && columns === 2 && node.sections[0].items;
if (asymmetric) {
firstWidth = Math.ceil(Math.max.apply(null, [widthOf(node.sections[0].title, 14, 600)]
.concat(node.sections[0].items.map(function (item) { return widthOf(item.text, 13, 400) + 10; }))));
}
var sections = [], sy = 0;
for (var i = 0; i = (layout.flow ? 128 : 148), “too many columns; use fewer columns or a wider artboard.”);
for (var offset = 0; offset < row.length; offset += columns) {
var rowNodes = row.slice(offset, offset + columns).map(function (id) { return makeNode(configs[id], w); });
var h = Math.max.apply(null, rowNodes.map(function (n) { return n.height; }));
rowNodes.forEach(function (n, i) {
n.x = padding + i * (w + layout.columnGap); n.y = y;
if (configs[n.id].shape === "card" || configs[n.id].shape === "annotation") n.height = h;
nodes.push(n); byId[n.id] = n;
});
bottom = y + h; y = bottom + layout.rowGap;
}
});
} else {
layout.placements.forEach(function (p) {
var n = makeNode(configs[p.node], p.width);
n.x = p.x; n.y = contentTop + p.y;
nodes.push(n); byId[n.id] = n; bottom = Math.max(bottom, n.y + n.height);
});
}
function overlaps(a, b) {
return a.x b.x && a.y b.y;
}
nodes.forEach(function (a, i) {
nodes.slice(i + 1).forEach(function (b) { requireThat(!overlaps(a, b), a.id + ” overlaps ” + b.id + “.”); });
});
function path(id, name, points, dashed) {
var xs = points.map(function (p) { return p.x; }), ys = points.map(function (p) { return p.y; });
var x = Math.min.apply(null, xs), y = Math.min.apply(null, ys);
var result = { id: id, name: name, type: “path”, x: x, y: y,
width: Math.max(1, Math.max.apply(null, xs) – x), height: Math.max(1, Math.max.apply(null, ys) – y),
points: points.map(function (p) { return { x: p.x – x, y: p.y – y }; }),
closed: false, fill: null, stroke: emphasis, strokeWidth: 1.75 };
if (dashed) result.dash = [5, 4];
return result;
}
function obstructed(a, b, n) {
if (a.x === b.x) return a.x > n.x + 0.1 && a.x n.y + 0.1 && Math.min(a.y, b.y) n.y + 0.1 && a.y n.x + 0.1 && Math.min(a.x, b.x) = 4 && p.x = contentTop, edge.id + ” leaves the drawable area.”);
bottom = Math.max(bottom, p.y);
if (i) {
var previous = points[i – 1];
requireThat(p.x === previous.x || p.y === previous.y, edge.id + ” needs orthogonal waypoints.”);
nodes.forEach(function (n) {
requireThat(!obstructed(previous, p, n), edge.id + ” crosses ” + n.id + “; add explicit waypoints.”);
});
}
});
var parts = [path(“edge/” + edge.id + “/line”, edge.id, points, edge.dashed)];
function arrow(p, normal, suffix) {
var tip = p;
var base = { x: p.x + normal.x * 7, y: p.y + normal.y * 7 };
parts.push(path(“edge/” + edge.id + “/” + suffix, “Arrowhead”, [
{ x: base.x – normal.y * 4, y: base.y + normal.x * 4 }, tip,
{ x: base.x + normal.y * 4, y: base.y – normal.x * 4 }
], false));
}
if (edge.direction === “both”) arrow(a, from.normal, “start”);
if (edge.direction !== “none”) arrow(b, to.normal, “end”);
if (edge.label) {
var middle = points[Math.floor(points.length / 2)];
var lw = Math.ceil(widthOf(edge.label, 14, 400)) + 16;
var lt = label(“edge/” + edge.id + “/label/text”, edge.label, lw – 16, 14, 400, 20, C.muted);
lt.x = 8; lt.y = 4;
var lg = group(“edge/” + edge.id + “/label”, edge.label, lw, 28, [lt]);
lg.x = middle.x – lw / 2; lg.y = middle.y – 14; lg.fill = C.white; lg.radius = 4;
requireThat(lg.x >= 0 && lg.x + lw = contentTop, “edge label exceeds the artboard.”);
nodes.forEach(function (n) { requireThat(!overlaps(lg, n), edge.id + ” label overlaps ” + n.id + “.”); });
bottom = Math.max(bottom, lg.y + lg.height);
parts.push(lg);
}
connections = connections.concat(parts);
});
return { width: layout.width, height: bottom + padding, background: C.white,
fonts: FONTS.map(function (font) { return Object.assign({}, font); }), children: (header ? [header] : []).concat(connections, nodes) };
}