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 skills add vinnie357/claude-skills --skill stylesgit clone --depth 1 https://github.com/vinnie357/claude-skillsWrote 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/vinnie357/claude-skills/styles)<a href="https://agentmods.dev/skills/vinnie357/claude-skills/styles"><img src="https://agentmods.dev/badge/skills/vinnie357/claude-skills/styles/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/vinnie357/claude-skills/styles"><img src="https://agentmods.dev/badge/skills/vinnie357/claude-skills/styles.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00050 | $0.01370 |
| Opus 5 | $0.00025 | $0.00685 |
| Sonnet 5 | $0.00010 | $0.00274 |
| Haiku 4.5 | $0.00005 | $0.00137 |
Grade A, and why
styles 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 5d 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.
How it starts
The opening of the file, as written. The whole thing — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Slidev Styles
Brand discovery, theme generation, and style validation for Slidev presentations.
Brand Discovery Pipeline Overview
The full brand discovery workflow has four stages:
- Navigate to the brand site using Playwright MCP tools
- Extract CSS variables and computed styles via
browser_evaluate - Parse extracted values into a brand config JSON object
- Generate the Slidev theme from the brand config
For step-by-step Playwright extraction details, see references/discovery-pipeline.md.
For theme generation details, see references/theme-generation.md.
For validation details, see references/validation-checklist.md.
Playwright MCP Tools
Use these tools during brand extraction:
| Tool | Purpose |
|---|---|
browser_navigate |
Open the brand site URL |
browser_evaluate |
Run JavaScript to extract CSS vars and computed styles |
browser_take_screenshot |
Capture rendered slides or pages for visual validation |
browser_snapshot |
Get accessibility tree snapshot for structural inspection |
browser_close |
Close the browser session when extraction is complete |
Always call browser_close after extraction to release resources.
Brand Config JSON Schema
Produce a brand config JSON object after extraction. All fields are optional; populate what is available.
{
"colors": {
"primary": "#hex",
"secondary": "#hex",
"accent": "#hex",
"background": "#hex",
"text": "#hex",
"error": "#hex",
"success": "#hex"
},
"fonts": {
"heading": "Font Name",
"body": "Font Name",
"code": "Monospace Font"
},
"spacing": {
"slide-padding": "value",
"section-gap": "value"
},
"logo": {
"url": "path/to/logo",
"position": "top-left|top-right"
}
}
Save the brand config as brand-config.json in the project root before proceeding to theme generation.
Theme Generation Overview
Convert the brand config to a Slidev theme by:
- Creating
styles/index.csswith CSS custom properties mapped from brand config colors and spacing - Configuring UnoCSS theme extensions in
uno.config.ts(orvite.config.ts) with brand colors and font stacks - Adding UnoCSS shortcut classes for common slide patterns (headings, callouts, code blocks)
- Loading fonts via Google Fonts import in
styles/index.cssor placing font files inpublic/fonts/ - Creating a global
components/Logo.vuecomponent for logo placement
What ships with it
3 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.
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.
- 5d ago First seen · 173 lines · 50 tokens per session scan A 8f127c0d331a
styles is a skill published in the GitHub repository vinnie357/claude-skills (25 stars, last pushed 3d ago), licensed MIT. It adds 50 tokens to every session and 1,370 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 2026-09-04.
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html-ppt-taste-brutalist
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visual-ralph
Visual Ralph orchestration for frontend UI from generated references, static references, or live URL targets, using $ralph with built-in visual verdict and pixel-diff evidence until the implementation matches and leaves a reproducible design system.
accessibility
Consolidated accessibility skill entrypoint for WCAG 2.2, ARIA Authoring Practices, cognitive accessibility, Section 508, EN 301 549, design intent verification, and the Accessibility Planner workflow.
make-resume
A Chinese-language tool for creating editable HTML resumes that can be changed in a browser and printed to PDF. It uses available resume templates when they are installed and otherwise provides a simpler fallback.