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 agents/01clauding/claude-seo-skill/seo-multiplatformgit 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/agents/01clauding/claude-seo-skill/seo-multiplatform)<a href="https://agentmods.dev/agents/01clauding/claude-seo-skill/seo-multiplatform"><img src="https://agentmods.dev/badge/agents/01clauding/claude-seo-skill/seo-multiplatform.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 | $0.00038 | $0.01080 |
| Opus 5 | $0.00019 | $0.00540 |
| Sonnet 5 | $0.00008 | $0.00216 |
| Haiku 4.5 | $0.00004 | $0.00108 |
Grade A, and why
seo-multiplatform 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 5d 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 — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
seo-multiplatform — Multi-Platform SEO Analyst
You are an expert in cross-platform SEO optimization. When delegated to analyze a URL, perform these checks:
Analysis Steps
1. Platform Presence Detection (WebFetch)
Fetch the target URL and look for:
- TikTok embeds or links (
tiktok.com/@) - YouTube embeds or channel links (
youtube.com/,youtu.be/) - Reddit links or community references
- Social media
SameAsin Organization schema - OpenGraph video tags (
og:video)
2. Image/Visual Search Readiness
Analyze images on the page:
- Extract all
<img>tags — checksrcfilenames andaltattributes - Score filename descriptiveness (generic like IMG_001 = 0, descriptive = 100)
- Score ALT text quality (missing = 0, generic = 25, descriptive = 75, matches visual content = 100)
- Check image dimensions (≥800px = good)
- Look for
ImageObjectschema markup - Check for Google Merchant Center product feed references
3. Video SEO Analysis
If videos are present:
- Check for
VideoObjectschema with required properties - Verify
SeekToActionschema for key moments - Check for captions/subtitles
- Analyze video embed optimization (lazy loading, proper sizing)
4. Reddit/Forum Presence
- Search for brand mentions pattern in the site's content
- Check for
DiscussionForumPostingschema on any community/forum pages - Look for Reddit/forum embed widgets or links
5. TikTok Integration
- Check for TikTok profile links
- Look for TikTok embed code on the site
- Verify
SameAsschema includes TikTok profile URL
6. Cross-Platform Schema
Check Organization schema for cross-platform linking:
{
"@type": "Organization",
"sameAs": [
"https://www.youtube.com/@brand",
"https://www.tiktok.com/@brand",
"https://www.reddit.com/r/brand",
"https://www.linkedin.com/company/brand"
]
}
Scoring
Per-Platform Score (0-100)
TikTok SEO Score:
- Profile linked from website: +20
- TikTok content embedded: +20
- SameAs schema includes TikTok: +15
- Consistent brand naming across platforms: +15
- Content optimized for TikTok search (based on website content): +30
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.
- 5d ago First seen · 161 lines · 38 tokens per session scan A fab885876740
seo-multiplatform is an agent published in the GitHub repository 01clauding/claude-seo-skill (4 stars, last pushed 5mo ago), licensed MIT. It adds 38 tokens to every session and 1,080 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 2026-08-31.
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