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 valtterimelkko/agent-workflow-skills --skill web-create-assetsgit clone --depth 1 https://github.com/valtterimelkko/agent-workflow-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/valtterimelkko/agent-workflow-skills/web-create-assets)<a href="https://agentmods.dev/skills/valtterimelkko/agent-workflow-skills/web-create-assets"><img src="https://agentmods.dev/badge/skills/valtterimelkko/agent-workflow-skills/web-create-assets/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/valtterimelkko/agent-workflow-skills/web-create-assets"><img src="https://agentmods.dev/badge/skills/valtterimelkko/agent-workflow-skills/web-create-assets.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 | $0.00084 | $0.02978 |
| Opus 5 | $0.00042 | $0.01489 |
| Sonnet 5 | $0.00017 | $0.00596 |
| Haiku 4.5 | $0.00008 | $0.00298 |
Grade A, and why
web-create-assets 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 — 417 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Web Create Assets
Create professional UI assets that perfectly match your existing web application's design system.
Quick Start
# 1. Capture screenshots of your existing UI (optional - uses webapp-testing skill first)
# 2. Analyze screenshots and extract style
python3 scripts/analyze_style.py --screenshots ./screenshots --output style_guide.json
# 3. Create UI asset plan
python3 scripts/create_asset_plan.py --style style_guide.json --requirements requirements.json --output asset_plan.json
# 4. Generate assets
python3 scripts/generate_assets.py --plan asset_plan.json --output ./new_assets
Workflow Overview
┌──────────────────┐ ┌──────────────────┐ ┌──────────────────┐
│ 1. ANALYZE │ → │ 2. PLAN │ → │ 3. GENERATE │
│ Extract style │ │ Define assets │ │ Create matching │
│ from screenshots │ │ with specs │ │ professional │
│ │ │ │ │ assets │
└──────────────────┘ └──────────────────┘ └──────────────────┘
Phase 1: Style Analysis
Extract Style from Screenshots
Analyze existing UI screenshots to extract:
- Color Palette: Primary, secondary, accent, background, text colors
- Typography Style: Font characteristics, weight preferences, sizing patterns
- Visual Patterns: Shadows, borders, corner radii, spacing
- Component Aesthetics: Button styles, card treatments, input fields
python3 scripts/analyze_style.py \
--screenshots ./screenshots \
--output style_guide.json \
--extract-colors \
--extract-typography \
--extract-patterns
Style Guide Output Format
{
"project_name": "MyApp",
"extracted_from": ["screenshot1.png", "screenshot2.png"],
"color_palette": {
"primary": "#0066FF",
"secondary": "#00D9FF",
"accent": "#FF6B35",
"background": "#0F172A",
"surface": "#1E293B",
"text_primary": "#F8FAFC",
"text_secondary": "#94A3B8"
},
"typography": {
"style": "modern sans-serif",
"weights": ["400", "600", "700"],
"characteristics": "clean, geometric, high readability"
},
"visual_patterns": {
"shadows": "subtle drop shadows, 4-8px blur",
"borders": "1px solid with low opacity",
"corner_radius": "8-12px for cards, 4-6px for buttons",
"spacing": "8px base grid, generous whitespace"
},
"style_summary": "Modern minimalist tech aesthetic with dark mode, blue primary accent"
}
What ships with it
7 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.
- 9d ago First seen · 417 lines · 84 tokens per session scan A 73a565c9f5b7
web-create-assets is a skill published in the GitHub repository valtterimelkko/agent-workflow-skills (2 stars, last pushed 2mo ago), licensed MIT. It adds 84 tokens to every session and 2,978 once invoked, about $0.0004 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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