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 ils15/pantheon-legacy --skill frontend-analyzergit clone --depth 1 https://github.com/ils15/pantheon-legacyWrote 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/ils15/pantheon-legacy/frontend-analyzer)<a href="https://agentmods.dev/skills/ils15/pantheon-legacy/frontend-analyzer"><img src="https://agentmods.dev/badge/skills/ils15/pantheon-legacy/frontend-analyzer/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/ils15/pantheon-legacy/frontend-analyzer"><img src="https://agentmods.dev/badge/skills/ils15/pantheon-legacy/frontend-analyzer.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 | $0.00024 | $0.01792 |
| Opus 5 | $0.00012 | $0.00896 |
| Sonnet 5 | $0.00005 | $0.00358 |
| Haiku 4.5 | $0.00002 | $0.00179 |
Grade A, and why
frontend-analyzer 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 9d 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 — 265 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Frontend Analyzer
Analisa e identifica tipografia, cores, layout, fontes e elementos de design system em componentes frontend.
Overview
The Frontend Analyzer skill provides deep inspection of frontend code, design elements, and visual properties. It extracts typography, color palettes, spacing systems, component hierarchies, and accessibility attributes from React/Next.js applications.
Core Capabilities
1. Visual Element Analysis
🔤 Typography Detection
- Font families (system fonts, Google Fonts, custom fonts)
- Font sizes and scaling systems (rem, px, %)
- Font weights (100-900)
- Line heights and letter spacing
- Text decorations and text transforms
- Font loading strategies (WOFF2, variable fonts)
🎨 Color Palette Extraction
- Primary, secondary, accent colors
- Background and text colors
- Semantic colors (success, error, warning, info)
- Opacity/alpha values
- Color space (RGB, HSL, hex, CSS variables)
- Dark mode variants
📐 Layout & Spacing
- Grid systems (CSS Grid, Flexbox)
- Spacing scale (gaps, margins, padding)
- Breakpoints and responsive behavior
- Container queries and fluid sizing
- Z-index hierarchy
- Positioning strategies
🧩 Component Architecture
- Component hierarchy and nesting
- Reusable component patterns
- Props and TypeScript interfaces
- State management patterns
- Custom hooks usage
- Styled components vs CSS modules
2. Analysis Categories
- Visual Inspection - Screenshots and visual differences
- Code Inspection - Component code structure
- Design System - Design token usage
- Accessibility (A11y) - WCAG AA/AAA compliance
- Performance - Font loading optimization
Analysis Output Structure
## 🎨 VISUAL ELEMENTS DETECTED
### Typography System
- Primary Font: [Font family, source, fallback]
- Heading Scale: H1-H6 sizes and weights
- Body Text: Default size, line-height, letter-spacing
- Monospace: Code/terminal fonts
### Color Palette
- Primary: #XXXXXX (RGB, HSL, CSS var)
- Semantic: Success, error, warning colors
- Dark Mode: Color scheme variants
- Contrast Ratios: WCAG AA/AAA compliance
### Layout System
- Grid: [Columns, gap, max-width]
- Breakpoints: [Mobile, tablet, desktop specs]
- Spacing Scale: [Base unit, multipliers]
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.
- 9d ago First seen · 265 lines · 24 tokens per session scan A 56a47ea195d4
frontend-analyzer is a skill published in the GitHub repository ils15/pantheon-legacy (10 stars, last pushed 6d ago), licensed MIT. It adds 24 tokens to every session and 1,792 once invoked, about $0.0001 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 2026-08-31.
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