The VISUAL gate — render a UI or visual artifact through its surface adapter, inspect the actual pixels, then fix and re-render until it passes the composed StyleSeed rule set.
npx skills add https://github.com/bitjaru/styleseed --skill ss-verify
Read .styleseed/effective-rules.md and .styleseed/manifest.json; invoke /ss-resolve or
$ss-resolve first when they are missing or stale. Judge pixels against that compiled method.
A lock value cannot excuse a core failure, and a recipe/profile cannot replace the output grammar.
/ss-score reads the code and scores it. But some of the worst "AI-made" tells never appear
in source — they only exist in pixels: a hero that doesn't actually dominate, a lower third
of dead whitespace, cramped cards, a web font that silently failed to load and fell back to
Times, two colors that *look* like two accents once rendered, text that's unreadable on its real
background. A human sees these in half a second; a code-reading gate misses all of them.
/ss-verify closes that gap: it renders the UI, screenshots it, and you look at the image —
then score the same StyleSeed gate against what you see, fix, and re-render. This is the gate
that most predicts whether a real user will say "this looks designed."
Run it as the final gate after /ss-score passes — code-clean is necessary but not
sufficient; pixel-clean is the real bar.
/ss-score./ss-score, and tell the user the visual gate was skipped. **Never claim you verified visually
if you didn't actually see a screenshot.**
/ss-lint. /ss-verify is heavier (it boots a renderer).For social-carousel, slide-deck, document-report, or single-frame, use the companion
renderer and open every required exported frame/page at readable resolution. Verify dimensions,
crop/safe zones, font availability, asset placement, and the export manifest. Do not force a
browser workflow onto a PIL, slide, PDF, or image renderer.
For product-ui, get a real screenshot in priority order:
A. Running project (Next / Vite / etc.) — the normal case.
npm run dev / pnpm dev / framework command); waitfor the ready line and capture the port.
playwrightin node_modules, use it; else use a globally cached Chromium. Minimal script:
import { chromium } from "playwright"; // or an absolute path into node_modules
const b = await chromium.launch();
const c = await b.newContext({ viewport: SURFACE, deviceScaleFactor: 2 });
const p = await c.newPage();
await p.goto(URL, { waitUntil: "networkidle" });
await p.evaluate(() => document.fonts.ready); // don't shoot before fonts load
await p.waitForTimeout(400);
await p.screenshot({ path: OUT, fullPage: true });
await b.close();
Surface viewports: mobile {width:390,height:844} · desktop {width:1440,height:900}.
Pick from the lock's Surface, or --surface.
B. Static HTML file → open it directly with file://… and screenshot (same script).
C. Isolated component (no host page) → render it into a minimal throwaway page that imports
the component with realistic props, then screenshot that.
Then actually READ the screenshot back (Read the PNG). You must *see* it. Shoot at
deviceScaleFactor: 2 so text is crisp enough to judge.
Look at the image and run the StyleSeed gate perceptually. These are the checks that need
eyes, not source:
□ Squint test — blur your focus / imagine it at 50%. Does it still read "AI-generated"?
(bland gradient, pill button + generic sans, icon-chip row, even flat grid) → FAIL
□ Focal — does ONE element actually dominate at a glance? If your eye lands nowhere,
or on an all-even grid, the focal point failed regardless of what code intended
□ Balance — dead whitespace (a lower third of empty), or cramped/colliding elements?
Is the visual weight distributed, or all top-left / all-centered?
□ Fonts loaded — is the intended typeface actually rendering, or a Times/Arial fallback?
(a silent font-load fail is a top "looks cheap" tell — invisible in code)
□ One accent (seen) — count the hues you actually SEE. Two things competing for "the color" = FAIL,
even if the code named one token
□ Contrast (seen) — any text you have to strain to read on its real rendered background?
Light-grey-on-white labels, low-contrast on a colored/照片 panel
□ Rhythm/optics — are edges aligned, gaps consistent, cards optically even? Off-by-a-few-px
misalignments that read as "sloppy" but pass a code check
□ Type scale fit — on desktop, does the body text look too small for the canvas? does the hero
feel undersized? (the surface-scale tell, judged by eye)
□ Grammar fit — does the screen visually serve the selected grammar's user job, attention
model, composition, density, action hierarchy, and characteristic tells?
□ Recipe fit — do geometry, containment, controls, collections, navigation, density, and
motion visibly match the selected recipe rather than the old universal soft-card look?
Would the same layout still appear if the product changed? If yes, FAIL
□ Motion (if any) — capture before/after or a mid-transition frame; is it purposeful, or the
"cheap fade/bounce on everything" tell? does it block the first read?
The happy-path screenshot hides the most common real-world failure: **no empty / loading / error
state.** Where the surface has a data view, render those variants (a query param, a mock, a
forced prop, or temporarily emptying the data) and screenshot each. A blank white void for "no
data" is a fail you can only catch by *looking* at the empty state. (Static marketing pages with
no data surface → N/A, note it.)
For sequential artifacts, inspect the cover/first frame, every content frame, and close/CTA as
a set: continuity, progression, one message per frame, repeated-template fatigue, source labels,
folios, and safe-zone survival. For documents/decks, inspect every page/slide plus a representative
thumbnail or overview view.
For each visual failure, fix the code, then re-render and look again — don't assume the fix
worked from the diff (the whole point is that code ≠ pixels). Loop up to ~3×. Present only when
the screenshot passes, with the final image, the effective rule set, a one-line "fixed: …", and
the gate result.
/ss-scoreand say the visual gate was skipped. Never fabricate "looks good."
verifying a visual fix by reading the diff defeats it.
/ss-score (code) first to catch structural issues cheaply, then/ss-verify (pixels) as the final bar. /ss-build runs code-gate in its loop; finish a
renderable screen with /ss-verify.
(or vice-versa) invalidates the type-scale and balance checks.
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Take bitjaru/ss-verify from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.