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 01clauding/claude-seo-skill --skill seo-visualgit clone --depth 1 https://github.com/01clauding/claude-seo-skillWrote 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/01clauding/claude-seo-skill/seo-visual)<a href="https://agentmods.dev/skills/01clauding/claude-seo-skill/seo-visual"><img src="https://agentmods.dev/badge/skills/01clauding/claude-seo-skill/seo-visual.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 5.1 | $0.00071 | $0.00972 |
| Opus 5 | $0.00036 | $0.00486 |
| Sonnet 5 | $0.00014 | $0.00194 |
| Haiku 4.5 | $0.00007 | $0.00097 |
Grade A, and why
seo-visual 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 8d 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 — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
seo-visual — Visual Analysis & Visual Search Readiness
Multi-Viewport Screenshot Capture
| Device | Width | Height | Scale |
|---|---|---|---|
| Desktop | 1920 | 1080 | 1x |
| Laptop | 1366 | 768 | 1x |
| Tablet | 768 | 1024 | 2x |
| Mobile | 375 | 812 | 2x |
Use scripts/capture_screenshot.py for automated capture.
Above-the-Fold Analysis
Check without scrolling:
- H1 visibility: Primary heading visible immediately
- CTA visibility: Main call-to-action button above fold
- Hero content: Key image/video loading properly
- No layout shifts: Page stable on initial load
CTA Detection Selectors
/* Common CTA patterns */
a[href*="signup"], a[href*="contact"], a[href*="demo"],
button:has-text("Get Started"), button:has-text("Try Free"),
button:has-text("Sign Up"), button:has-text("Learn More"),
button:has-text("Shop Now"), button:has-text("Download"),
[class*="cta"], [class*="hero-button"]
Mobile Responsiveness Checks
- Viewport meta:
<meta name="viewport" content="width=device-width, initial-scale=1"> - Touch targets: Minimum 48x48px (Google recommendation)
- No horizontal scroll: Content fits within viewport width
- Readable text: Base font ≥16px without zooming
- Navigation: Hamburger menu or visible nav accessible
- Images scale: No overflow or cropping at mobile widths
Visual Search Readiness (Google Lens)
Google Lens processes 12-20 billion visual search queries/month (2025). 60% of Gen Z prefers visual search for product discovery.
Google Lens Optimization Checklist
- Filename matches content:
red-running-shoe-nike-mens.jpgnotIMG_20250301.jpg - ALT text matches computer vision: Describe what the image shows visually
- Clean backgrounds: Product images on white/neutral backgrounds
- Multiple angles: 3-5 views per product (front, side, detail, in-use)
- Consistent lighting: Even, professional lighting across product images
- High resolution: ≥800px on longest edge for Lens recognition
- Schema markup:
ImageObjectwithcontentUrl,caption,creator - Merchant Center: Product inventory uploaded for direct product matching
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.
- 8d ago First seen · 104 lines · 71 tokens per session scan A 21a21c8e7b7c
seo-visual is a skill published in the GitHub repository 01clauding/claude-seo-skill (4 stars, last pushed 5mo ago), licensed MIT. It adds 71 tokens to every session and 972 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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