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 S3YED/appie-kit --skill agentic-webdesign-framesmithgit clone --depth 1 https://github.com/S3YED/appie-kitWrote 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/s3yed/appie-kit/agentic-webdesign-framesmith)<a href="https://agentmods.dev/skills/s3yed/appie-kit/agentic-webdesign-framesmith"><img src="https://agentmods.dev/badge/skills/s3yed/appie-kit/agentic-webdesign-framesmith/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/s3yed/appie-kit/agentic-webdesign-framesmith"><img src="https://agentmods.dev/badge/skills/s3yed/appie-kit/agentic-webdesign-framesmith.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00053 | $0.00869 |
| Opus 5.5 | $0.00021 | $0.00348 |
| Sonnet 5.5 | $0.00011 | $0.00174 |
| Haiku 4.5 | $0.00005 | $0.00087 |
Grade A, and why
agentic-webdesign-framesmith 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 1mo 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 — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Framesmith — Visual Design Canvas for AI Agents
What it is
Open-source MCP server (MIT) that gives AI coding agents a visual design canvas. Agents author UI via a scene graph, rendered as HTML/CSS through headless Chromium to PNG screenshots. Includes a standalone browser viewer, design evaluation, pattern library, and auto-fix.
Quick start
# Start the viewer in a terminal
npx -p framesmith framesmith-viewer
# Add to Claude Code
claude mcp add framesmith -- npx framesmith
MCP Tools
Canvas Management
canvas_create— Create a new canvascanvas_bind— Bind workspace/repo to framesmithinit— Idempotent onboarding: bind repo, scaffold conventions, return workflow cheatsheet
Design
batch_design— Build UI with frames, text, icons, components, gradients. Returns{ varName: nodeId }mapapply_preset— Apply a design presetset_variables— Set design tokens (colors, spacing, fonts)
Evaluation & Fixing
canvas_evaluate— Score 0-100 across 6 categories + cliché detection. ReturnsREADY/NOT READYcanvas_autofix— Mechanical fixes for flagged issuescanvas_revise— Targeted revision for specific issues
Export & Comparison
screenshot_responsive— Preview at mobile/tablet/desktopcanvas_diff— Visual before/after comparisonexport— Save to PNG/PDF
Import
canvas_import_html— Import existing HTML/CSS for inspectioncanvas_import_url— Import from live URL with drift detectionimport_design_md— Import DESIGN.md for token extraction
Workflow
1. canvas_create → get canvas ID
2. apply_preset or set_variables → design tokens
3. batch_design → build the UI
4. canvas_evaluate → score the result
5. If < 95: canvas_autofix or canvas_revise → re-evaluate
6. screenshot_responsive → preview at breakpoints
7. canvas_diff → compare iterations
8. export → save final design
Design System Support
- Workspace → project → canvas token inheritance
- DESIGN.md import
- Style presets (Material, glassmorphism, etc.)
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.
- 1mo ago First seen · 92 lines · 53 tokens per session scan A bb5677f51cb6
agentic-webdesign-framesmith is a skill published in the GitHub repository S3YED/appie-kit (12 stars, last pushed 1mo ago), licensed MIT. It adds 53 tokens to every session and 869 once invoked, about $0.0002 per session on Opus 5.5. 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.
Other skills, from other repositories
avoid-ai-design
Audit and rewrite frontend UI to remove generic AI design patterns ("AI slop"), both the first-order defaults (purple gradients, Inter, a centered hero over three cards, untouched shadcn) and the second-order "tasteful AI" ones (cream with terracotta, near-black with acid green, all-caps mono chrome, one accented…
assembling-components
Assembles component outputs from AI Design Components skills into unified, production-ready component systems with validated token integration, proper import chains, and framework-specific scaffolding. Use as the capstone skill after running theming, layout, dashboard, data-viz, or feedback skills to wire components…
providing-feedback
Implements feedback and notification systems including toasts, alerts, modals, progress indicators, and error states. Use when communicating system state, displaying messages, confirming actions, or showing errors.
theming-components
Provides design token system and theming framework for consistent, customizable UI styling across all components. Covers complete token taxonomy (color, typography, spacing, shadows, borders, motion, z-index), theme switching (CSS custom properties, theme providers), RTL/i18n support (CSS logical properties), and…
designing-layouts
Designs layout systems and responsive interfaces including grid systems, flexbox patterns, sidebar layouts, and responsive breakpoints. Use when structuring app layouts, building responsive designs, or creating complex page structures.
bliss
Create distinctive, high-quality frontend interfaces with high design quality. Use when the user says "bliss", "bliss ui", or "bliss interface". Generates creative, accessible, polished code that avoids generic AI aesthetics.