Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/powerbeef/vocello/vocello-design-systemnpx skills add PowerBeef/Vocello --skill vocello-design-systemgit clone --depth 1 https://github.com/PowerBeef/VocelloWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/powerbeef/vocello/vocello-design-system)<a href="https://agentmods.dev/skills/powerbeef/vocello/vocello-design-system"><img src="https://agentmods.dev/badge/skills/powerbeef/vocello/vocello-design-system.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00069 | $0.00426 |
| Opus 5 | $0.00034 | $0.00213 |
| Sonnet 5 | $0.00014 | $0.00085 |
| Haiku 4.5 | $0.00007 | $0.00043 |
Grade A, and why
vocello-design scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Read README.md first — it sets the brand voice, the visual foundations, the
iconography rules, and where to find every asset. Browse colors_and_type.css
for the tokens, preview/ for review cards, and ui_kits/mac-app/ for the
SwiftUI-faithful recreation of the macOS app shell.
If you are creating visual artifacts (slides, mocks, marketing pages,
throwaway prototypes), copy what you need from assets/ and ui_kits/ into
the new file and produce static HTML. Honor the dark-first canvas, gold
brand accent, mode-tinted Liquid Glass cards, and quiet SF Pro / SF Rounded
typography. Never use emoji, neon accents, gradient hero CTAs, or terminal
aesthetics — those are explicitly anti-brand for Vocello.
If you are working on production code (the Swift app, or a derivative web
surface), trust the live repo at
PowerBeef/Vocello over anything
in this skill — Vocello's source of truth is the SwiftUI codebase, and this
skill compresses that into web-friendly tokens.
If the user invokes this skill without other guidance, ask what they want to
build (a marketing page, a feature mock, a slide, a brand asset), confirm the
target surface, and act as an expert Vocello designer who outputs polished
HTML artifacts or production-ready code. Keep copy in the voice described in
README.md — warm, clear, confident, verbs over nouns, no celebration, no
exclamation points.
What ships with it
50 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- assets/app-icon-1024.png 1121 KB
- assets/logo-square.png 150 KB
- assets/readme-banner.png 1175 KB
- assets/screens/custom-voice.png 231 KB
- assets/screens/model-downloads.png 240 KB
- assets/screens/voice-cloning.png 218 KB
- assets/screens/voice-design.png 238 KB
- assets/[email protected] 9.5 KB
- assets/[email protected] 32 KB
- colors_and_type.css 13 KB
- docs/logo.png 150 KB
- docs/screenshots/vocello-custom-voice.png 231 KB
- docs/screenshots/vocello-model-downloads.png 240 KB
- docs/screenshots/vocello-voice-cloning.png 218 KB
- docs/screenshots/vocello-voice-design.png 238 KB
- docs/social_preview.png 38 KB
- preview/_base.css 2.3 KB
- preview/app-icon.html 1.8 KB
- preview/brand-launch.html 1.3 KB
- preview/brand-mark.html 2.2 KB
- preview/color-brand.html 2.6 KB
- preview/color-emotion.html 3.1 KB
- preview/color-status.html 3.2 KB
- preview/color-surfaces-dark.html 2.2 KB
- preview/color-surfaces-light.html 2.1 KB
- preview/components-buttons.html 3.8 KB
- preview/components-card.html 3.3 KB
- preview/components-chips.html 3.1 KB
- preview/components-fields.html 2.4 KB
- preview/components-sidebar-row.html 5.4 KB
- preview/components-status.html 3.5 KB
- preview/spacing-elevation.html 2.2 KB
- preview/spacing-grid.html 3.3 KB
- preview/spacing-radii.html 2.1 KB
- preview/type-scale.html 2.9 KB
- preview/type-specimens.html 2.3 KB
- preview/type-wordmark.html 3.0 KB
- README.md 19 KB
- scraps/kit-preview.png 27 KB
- ui_kits/mac-app/Card.jsx 3.8 KB
- ui_kits/mac-app/GenerationScreens.jsx 22 KB
- ui_kits/mac-app/icons.jsx 5.4 KB
- ui_kits/mac-app/index.html 7.0 KB
- ui_kits/mac-app/LibraryScreens.jsx 10 KB
- ui_kits/mac-app/README.md 3.4 KB
- ui_kits/mac-app/Sidebar.jsx 6.9 KB
- uploads/AppIcon-1024.png 1121 KB
- uploads/readme_banner_vocello.png 1175 KB
- uploads/[email protected] 9.5 KB
- uploads/[email protected] 32 KB
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 6d ago First seen · 31 lines · 69 tokens per session scan A eb4e29704222
vocello-design is a skill published in the GitHub repository PowerBeef/Vocello (362 stars, last pushed today), licensed MIT. It adds 69 tokens to every session and 426 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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