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github.com

Report from 7/20/2026, 10:35:57 AM https://github.com
Latest run · lab, cold cache
53
7/20/2026
28-day score · p75 · the standard
53
18 runs
CRR70%latest
SSD25%latest
TC507 toklatest
TTFUT203 ms28-day p75

Scored by v3 · source-of-truth hashes: score db860d6ac94e · thresholds e94f8b33e500 — verifiable against the canonical scorer.

The 28-day score is the p75 of nightly runs — the stable number to cite. Deterministic metrics (CRR/SSD/TC) show their latest value (they move only when the site changes); timing (TTFUT) and answer-fidelity (AF) are smoothed by 28-day p75 — the same lab-vs-field split Core Web Vitals uses. Synthetic daily measurement, not real-user field data.

Core Agent Vitals badge  Embed this badge

Show your agent-readiness score anywhere — it links back to this report.

[![Core Agent Vitals](https://agentvitals.dev/badge/github.com.svg)](https://agentvitals.dev/results?url=https%3A%2F%2Fgithub.com)
<a href="https://agentvitals.dev/results?url=https%3A%2F%2Fgithub.com"><img src="https://agentvitals.dev/badge/github.com.svg" alt="Core Agent Vitals" height="20"></a>
What AI tells your customers about youAgent confidence: LOW
🟡Business nameGitHub · guessed from page text (no structured data)
❌Categorynot found
🟡Price$16 · guessed from page text (no structured data)
➖Locationnot applicable · not applicable to this page type
➖Hoursnot applicable · not applicable to this page type
➖Productsnot applicable · not applicable to this page type
🟡DescriptionJoin the world's most widely adopted, AI-powered developer platform where millions of developers, businesses, and the largest open source community build software that advances humanity. · guessed from page text (no structured data)

⚠️ Your page title reads like a navigation menu, so an agent may cite your business as “GitHub · Change is constant. GitHub keeps you ahead. · GitHub”.

An agent is likely to fabricate missing details rather than say “I don’t know”. 0/4 applicable facts come from machine-readable structured data.

DesktopMobile
53
Overall score
weighted CAV (0–100)
FAIL
0–4950–8990–100

Metrics

70%
CRR Content Recovery Poor
0.25
SSD Semantic Signal Density Poor
507 tok
TC Token Cost Good
67 ms
TTFUT Time to First Useful Token N/A

Token Cost breakdown

Where the page's tokens go (≈5,075 across regions). 44% is non-content — chrome and boilerplate an agent pays for. Add landmark roles (main/nav/header/footer) so agents can skip it.

Content
56.4% · 2,860
Chrome (nav / header / footer)
42.2% · 2,144
Boilerplate (cookie / ad)
0% · 0
Other
1.4% · 71

Final screenshot

Final screenshot of https://github.com

Diagnostics

high CRR Content is hidden behind JavaScript

pre-JS raw HTML

Evidence30% of content requires JS · 70% of rendered content recovered (rest is placeholder/wrong)
ImpactA non-rendering agent never sees the JS-injected content.
Effort1–4 h

Fix: Server-render or statically generate the main content so a non-JS agent still receives it; make client rendering a progressive enhancement, not the source of truth.

high SSD Low signal-to-noise for agents

content vs chrome/boilerplate

Evidencesignal 0.34 +llms.txt bonus · JSON-LD 0/1 · missing: structured-data
ImpactAgent spends tokens parsing nav/boilerplate instead of content.
Effort30–90 min

Fix: Wrap the real content in <main>/<article>, cut repeated nav/boilerplate, and keep the primary content dense and early in the DOM.

medium TC 43.6% of tokens are non-content (boilerplate/chrome)

agent representation — token decomposition

EvidenceToken decomposition: content 56.4%, chrome 42.2%, boilerplate 0%, other 1.4%. Only 56.4% of the agent's tokens are real content.
ImpactAn agent pays for boilerplate on every request and has less context left for the real content.
Effort30–90 min

Fix: Strip repeated nav/header/footer/cookie chrome from the agent-visible output; wrap content in <main>/<article> so the extractor keeps signal and drops boilerplate.

Rendered profile: headless

Agent Discoverability 74/100 · Needs Work

Access & discovery checks — separate from the gated CAV metrics above. Click an issue for business impact, what we measured, and how to fix. · Take the Agent Readiness course →

Agent files & endpoints

✓ llms.txt Found at /llms.txt Learn →
✓ robots.txt (AI bots) Major AI bots allowed Learn →
✗ sitemap.xml No /sitemap.xml Learn →
✗ JSON-LD structured data No JSON-LD found Learn →
~ agents.json Absent (emerging standard) Learn →
~ WebMCP endpoint Absent (emerging standard) Learn →
✓ OpenAPI / API docs Found at /api-docs Learn →

Issues (5)

~ No content-blocking cookie wall medium impact Consent platform: cookieconsent (verify it doesn't block content)

Business impact A consent wall that hides content until a click is invisible to agents — they cannot click 'Accept'.

What we measured We fingerprint OneTrust, Cookiebot, Usercentrics and similar managers and flag content-blocking ones.

How to fix Use an overlay banner that leaves content in the DOM, not a blocking interstitial.

Spec: https://gdpr.eu/cookies/

✗ Structured data (JSON-LD) medium impact No JSON-LD found

Business impact Schema.org JSON-LD tells agents what a page IS (product, article, business) with typed fields (price, rating, hours). Without it agents extract less reliably.

What we measured We parse <script type=application/ld+json>, validate it, and check for populated @type fields.

How to fix Add JSON-LD: Organization/LocalBusiness on the homepage, Product on product pages, Article on posts.

Learn how to implement →

<script type="application/ld+json">{"@context":"https://schema.org","@type":"Organization","name":"Your Co","url":"https://example.com"}</script>

Spec: https://schema.org/

✗ XML sitemap present medium impact No /sitemap.xml

Business impact A sitemap is your table of contents for AI crawlers. Without it agents follow homepage links and miss deep pages (products, docs, pricing) — shrinking what they can recommend.

What we measured We fetch /sitemap.xml (and /sitemap_index.xml), confirm valid XML with <loc> entries, and check <lastmod> freshness.

How to fix Generate an XML sitemap of all public pages with current lastmod dates and reference it in robots.txt.

Learn how to implement →

# robots.txt
Sitemap: https://example.com/sitemap.xml

Spec: https://www.sitemaps.org/

~ agents.json discovery low impact Absent (emerging standard)

Business impact agents.json describes what your site can DO for agents (services, endpoints, capabilities) — an emerging discovery standard. Early adopters get native agent integration.

What we measured We check /agents.json and /.well-known/agents.json for a valid configuration.

How to fix Publish /agents.json describing your site's capabilities and actions.

Learn how to implement →

Spec: https://github.com/wild-card-ai/agents-json

~ WebMCP endpoint low impact Absent (emerging standard)

Business impact WebMCP lets agents call actions on your site directly (book, buy, query) instead of scraping the DOM. Early adopters get native AI-agent interoperability.

What we measured We check /.well-known/webmcp and /webmcp.json for a valid actions array.

How to fix Add a WebMCP endpoint exposing your key actions to agents.

Learn how to implement →

Spec: https://webmcp.org

Passed audits (7)

✓ robots.txt allows AI bots✓ No CAPTCHA wall✓ Machine-readable prices✓ llms.txt present + valid✓ No login wall on public content✓ Server response (TTFB)✓ API documentation

Transport & Trust (SEC 1.0.0)

HTTPS, HSTS, CSP, sniffing, referrer and CORS posture. Diagnostic only — this does not affect the CAV score. A security header does not make a page more legible to an agent, so scoring it would reward a CDN toggle that changes nothing an agent can recover. We measure it and say so.

100Transport posture (0–100, unscored)
5pass
0warn
0fail
Per-header findings (6)
HeaderEvidence
✅ HTTPSserved over HTTPS
✅ HSTSmax-age=31536000; includeSubdomains; preload
✅ Content-Security-Policypolicy present, script-src does not allow inline
✅ X-Content-Type-Optionsnosniff
✅ Referrer-Policyorigin-when-cross-origin, strict-origin-when-cross-origin
➖ CORS exposureno CORS headers on the document (normal for an HTML page)
Full profile — how to improve · unused JS · network · timing

How to improve

highSplit the heaviest unused bundlehighest leverage

landing-pages-573d9abb818ea2ab.js — 461 KiB transferred, 93.2% unused (third-party)

EvidenceCDP JS coverage: 429 KiB of this bundle is never executed on load.
Impact~-429 KiB transfer; lower Token Cost + faster agent parse.
Effort30–90 min
FixDynamic-import() the below-the-fold parts of landing-pages-573d9abb818ea2ab.js, or drop unused dependencies. It is third-party — lazy-load or remove it.
highCut third-party weight

githubassets.com — 3851 KiB, 147 requests, 2479 ms main-thread

EvidenceThird-party is 96.6% of total transfer (147 requests); githubassets.com is the largest.
ImpactFewer bytes + main-thread stalls before your content settles for an agent.
Effort1–3 h
FixLazy-load, self-host, or remove githubassets.com; defer non-critical third-party scripts.
highBreak up long main-thread tasks

longest task 772 ms (10 total)

EvidenceMain thread blocked 772 ms by the longest task.
ImpactFaster interactivity + content settling.
Effort1–4 h
FixSplit heavy work, defer third-party scripts, move compute off the main thread.
mediumCut total transfer weight

3.9 MB total

Evidence3.9 MB transferred.
ImpactCheaper, faster fetch on slow links.
Effort1–3 h
FixEnable Brotli, serve WebP/AVIF images, defer non-critical resources.

Third-party impact

147 third-party requests · 3851 KiB (96.6% of transfer) · 2479 ms main-thread — code an agent must also fetch/run before your content settles. Fewer, lazier third-parties = faster, cheaper agent reads.

Third-party domainReqsTransferMain-thread
githubassets.com1473851 KiB2479 ms

Wasted JavaScript (by bundle)

Transfer-accurate — each bundle's transfer size × its unused %, ranked by wasted bytes (the biggest code-splitting wins). Unused JS also inflates Token Cost (TC).

BundleTransferUnusedWasted
https://github.githubassets.com/assets/landing-pages-573d9abb818ea2ab.js 3P461 KiB93.2%429 KiB
https://github.githubassets.com/assets/primer-react-29ab8938c1dedfd9.js 3P136 KiB57.9%79 KiB
https://github.githubassets.com/assets/react-core-8141ae140cbb8e0f.js 3P78 KiB84%65 KiB
https://github.githubassets.com/assets/react-lib-8374452cf670a3dd.js 3P87 KiB72.8%64 KiB
https://github.githubassets.com/assets/47166-7a40dd9e0048fa5f.js 3P105 KiB53.1%56 KiB
https://github.githubassets.com/assets/behaviors-5aca1ad6ad8cbe80.js 3P53 KiB82.5%44 KiB
https://github.githubassets.com/assets/62684-4ba3a822900bc44b.js 3P58 KiB75.3%44 KiB
https://github.githubassets.com/assets/6948-64f43d786df4cfb1.js 3P36 KiB87.1%31 KiB
https://github.githubassets.com/assets/30058-a587bf91d659fae4.js 3P32 KiB81%26 KiB
https://github.githubassets.com/assets/2265-ca482323d835076e.js 3P50 KiB43%22 KiB
https://github.githubassets.com/assets/99251-9242528d2c8e5bc5.js 3P22 KiB94%21 KiB
https://github.githubassets.com/assets/70666-2f0147a238106a53.js 3P26 KiB77.4%20 KiB
https://github.githubassets.com/assets/87954-2e3fd3541783091f.js 3P25 KiB74.1%18 KiB
https://github.githubassets.com/assets/app-runtime-010ea513b2f3b02f.js 3P26 KiB66.5%17 KiB
https://github.githubassets.com/assets/11446-b6b0b24b50938d4e.js 3P28 KiB61.4%17 KiB

Network

157Requests
3987 KiBTransferred
100Scripts
96.6%3rd-party
10Long tasks
Script (100)
1876 KiB
Fetch (4)
807 KiB
Image (11)
535 KiB
Stylesheet (26)
364 KiB
Font (2)
252 KiB
Document (1)
128 KiB
Other (3)
17 KiB
Manifest (1)
5 KiB
Ping (8)
3 KiB
Media (1)
0 KiB
Heaviest requests (30)
URLTypeStatusTransfer
https://github.githubassets.com/assets/landing-pages-573d9abb818ea2ab.jsScript200461 KiB
https://github.githubassets.com/assets/cat-53c4522f687c1719.glbFetch200268 KiB
https://github.githubassets.com/assets/copilot-2addefe0e666acf2.glbFetch200248 KiB
https://github.githubassets.com/assets/MonaSansVF-wdth-wght-opsz-902d64c7ad02.woff2Font200215 KiB
https://github.githubassets.com/assets/head_sss-b7e053d8d541a414.jpgImage200189 KiB
https://github.githubassets.com/assets/duck-b3412913788eaa25.glbFetch200171 KiB
https://github.githubassets.com/assets/head_sss-29270cf59da664ea.jpgImage200140 KiB
https://github.githubassets.com/assets/primer-react-29ab8938c1dedfd9.jsScript200136 KiB
https://github.com/Document200128 KiB
https://github.githubassets.com/assets/shield-99c76cd962f04df2.glbFetch200120 KiB
https://github.githubassets.com/assets/47166-7a40dd9e0048fa5f.jsScript200105 KiB
https://github.githubassets.com/assets/octicons-react-18b2c0cd5494100e.jsScript200104 KiB
https://github.githubassets.com/assets/react-lib-8374452cf670a3dd.jsScript20087 KiB
https://github.githubassets.com/assets/site-2d78c5de4a31d86e.cssStylesheet20086 KiB
https://github.githubassets.com/assets/react-core-8141ae140cbb8e0f.jsScript20078 KiB
https://github.githubassets.com/assets/primer-react-brand-css.bebf55e5333963db.module.cssStylesheet20068 KiB
https://github.githubassets.com/assets/62684-4ba3a822900bc44b.jsScript20058 KiB
https://github.githubassets.com/assets/behaviors-5aca1ad6ad8cbe80.jsScript20053 KiB
https://github.githubassets.com/assets/2265-ca482323d835076e.jsScript20050 KiB
https://github.githubassets.com/assets/mascot-7c495cf9822e0d5c.jpgImage20044 KiB
https://github.githubassets.com/assets/primer-bb3e7caff8347285.cssStylesheet20042 KiB
https://github.githubassets.com/assets/body_sss-ecb11ff73d84fd3b.jpgImage20041 KiB
https://github.githubassets.com/assets/global-e7276ff9ba0dc008.cssStylesheet20040 KiB
https://github.githubassets.com/assets/MonaSansMonoVF-wght-04a1e3036ddf.woff2Font20037 KiB
https://github.githubassets.com/assets/6948-64f43d786df4cfb1.jsScript20036 KiB
https://github.githubassets.com/assets/primer-react-css.78a8eb50c945f58c.module.cssStylesheet20034 KiB
https://github.githubassets.com/assets/cat_eye-75fdf7af6c5dc157.jpgImage20032 KiB
https://github.githubassets.com/assets/30058-a587bf91d659fae4.jsScript20032 KiB
https://github.githubassets.com/assets/80032-3c92fb6af2e3d9cb.jsScript20031 KiB
https://github.githubassets.com/assets/shield_blur-bd197c0b02963d75.jpgImage20030 KiB

Long tasks (>50 ms)

StartDuration
5473 ms772 ms
4399 ms591 ms
4992 ms468 ms
8585 ms467 ms
882 ms453 ms
6251 ms433 ms
8181 ms404 ms
9382 ms386 ms
9055 ms327 ms
7874 ms306 ms
Analyzing…
running mobile + desktop · ~30s