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/qte77/claude-code-plugins/researching-website-designnpx skills add qte77/claude-code-plugins --skill researching-website-designgit clone --depth 1 https://github.com/qte77/claude-code-pluginsWrote 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/qte77/claude-code-plugins/researching-website-design)<a href="https://agentmods.dev/skills/qte77/claude-code-plugins/researching-website-design"><img src="https://agentmods.dev/badge/skills/qte77/claude-code-plugins/researching-website-design.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 | $0.00042 | $0.00718 |
| Opus 5 | $0.00021 | $0.00359 |
| Sonnet 5 | $0.00008 | $0.00144 |
| Haiku 4.5 | $0.00004 | $0.00072 |
Grade A, and why
researching-website-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 yesterday.
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 — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Website Design Research
Target: $ARGUMENTS
Analyzes industry websites for design patterns through first-principles
thinking. Focus on layout, typography, color, and content presentation.
Pair with auditing-website-accessibility and auditing-website-usability
for implementation.
Core Question
"How would users naturally expect this information organized if they had never seen a website?"
Workflow
- Find websites - Search "[industry] companies/platforms", target 6-8 sites
- Extract design elements - Colors (hex), typography, layout hierarchy, CTAs
- Track sources - URL, authority level (H/M/L), cited research, cross-references
- Identify anomalies - Who breaks conventions with better UX results?
- Synthesize findings - Breakthroughs, patterns, contrarian insights, quick wins
Output Format
Source Index
1. [Company] - [URL] - Authority: [H/M/L]
Cites: [Studies/sources referenced]
Cross-refs: [Shared sources with other sites]
Design Breakthroughs (Max 3)
BREAKTHROUGH #N (Impact: N/100)
Pattern: [Specific design element]
Principle: [Why it works for users]
Opportunity: [How to apply]
Sources: [URLs and cited research]
Visual and Content Patterns
COLORS: Primary #HEX [effect], Accent #HEX [effect]
TYPOGRAPHY: Headers [font/weight], Body [font/size]
HEADLINES: "[Pattern]" - [User psychology]
CTAS: "[Button text]" - [Action driver]
Contrarian Insights
Everyone: [Common practice]
Reality: [What creates better UX]
Evidence: [Sources]
Quick Wins
ELIMINATE: [Element hurting UX]
SIMPLIFY: [Over-complex pattern]
ADOPT: [Underused effective pattern]
Rules
- Focus exclusively on visual design, layout, typography, and content
- Question every design assumption with first-principles thinking
- Extract exact values: hex codes, font names, button text
- Track cross-references between sites to identify authoritative sources
- Keep insights concise and actionable for design implementation
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.
- yesterday First seen · 94 lines · 42 tokens per session scan A 08b840e91ad5
researching-website-design is a skill published in the GitHub repository qte77/claude-code-plugins (2 stars, last pushed 6d ago), licensed Apache-2.0. It adds 42 tokens to every session and 718 once invoked, about $0.0002 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 2026-09-03.
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