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 seoskillsai/seo-skills-ai --skill seo-discovergit clone --depth 1 https://github.com/seoskillsai/seo-skills-aiWrote 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/seoskillsai/seo-skills-ai/seo-discover)<a href="https://agentmods.dev/skills/seoskillsai/seo-skills-ai/seo-discover"><img src="https://agentmods.dev/badge/skills/seoskillsai/seo-skills-ai/seo-discover/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/seoskillsai/seo-skills-ai/seo-discover"><img src="https://agentmods.dev/badge/skills/seoskillsai/seo-skills-ai/seo-discover.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00031 | $0.00613 |
| Opus 5 | $0.00015 | $0.00307 |
| Sonnet 5 | $0.00006 | $0.00123 |
| Haiku 4.5 | $0.00003 | $0.00061 |
Grade A, and why
seo-discover 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 12d 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 — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Discover, Media RSS & AI Disclosure Standard
This skill establishes the protocol for maximizing Google Discover traffic via high-resolution image signaling, Media RSS XML syndication, and transparent AI editorial disclosure bylines.
📸 1. Google Discover Technical Prerequisites
-
Meta Robots Directive: Every page
<head>must include:<meta name="robots" content="index, follow, max-image-preview:large, max-snippet:-1, max-video-preview:-1" />max-image-preview:largeenables Google Discover to display high-resolution 16:9 thumbnails, increasing click-through rates by up to 300%. -
Image Dimensions: Featured images must be at least 1200px wide with a 16:9 aspect ratio (e.g.
1200x675or1600x900).
📰 2. Media RSS Syndication Engine
Standard RSS feeds only deliver text. Google Discover and feed aggregators prioritize feeds with explicit Media RSS <media:content> enclosures.
<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0"
xmlns:content="http://purl.org/rss/1.0/modules/content/"
xmlns:media="http://search.yahoo.com/mrss/"
xmlns:dc="http://purl.org/dc/elements/1.1/">
<channel>
<title>Site Name — Verified Articles</title>
<link>https://example.com/</link>
<item>
<title>Article Title</title>
<link>https://example.com/article-slug/</link>
<pubDate>Wed, 19 Aug 2026 00:00:00 GMT</pubDate>
<media:content
url="https://example.com/images/feature.jpg"
medium="image"
type="image/jpeg"
width="1200"
height="675">
<media:title>Feature Image</media:title>
<media:credit>Editorial Staff</media:credit>
</media:content>
</item>
</channel>
</rss>
🛡️ 3. First-Exposure AI Editorial Disclosure
Every article features a transparent editorial disclosure directly beneath the H1:
- Human Verification: Verified by named subject-matter experts.
- AI Assistance: Discloses algorithmic synthesis under human oversight.
- Zero Hallucination Guarantee: Facts and citations cross-checked against primary sources.
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.
- 12d ago First seen · 69 lines · 31 tokens per session scan A d8de7a5e408a
seo-discover is a skill published in the GitHub repository seoskillsai/seo-skills-ai (15 stars, last pushed 2d ago), licensed MIT. It adds 31 tokens to every session and 613 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 2026-08-30.
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