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 T4wroot/agentic-seo --skill eeat-signalsgit clone --depth 1 https://github.com/T4wroot/agentic-seoWrote 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/t4wroot/agentic-seo/eeat-signals)<a href="https://agentmods.dev/skills/t4wroot/agentic-seo/eeat-signals"><img src="https://agentmods.dev/badge/skills/t4wroot/agentic-seo/eeat-signals/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/t4wroot/agentic-seo/eeat-signals"><img src="https://agentmods.dev/badge/skills/t4wroot/agentic-seo/eeat-signals.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 | $0.00094 | $0.01276 |
| Opus 5 | $0.00047 | $0.00638 |
| Sonnet 5 | $0.00019 | $0.00255 |
| Haiku 4.5 | $0.00009 | $0.00128 |
Grade A, and why
eeat-signals 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 7d 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.
This is a copy
100% identical to eeat-signals — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEO Content: E-E-A-T Signals
Guides E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) implementation for SEO. E-E-A-T helps search engines and users assess content quality; YMYL topics (health, finance, legal) require higher E-E-A-T.
When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
What Is E-E-A-T
| Element | Meaning | Implementation |
|---|---|---|
| Experience | First-hand, real-world experience | Case studies, original research, user testimonials, "we tested" |
| Expertise | Subject-matter knowledge | Author credentials, expert quotes, technical depth |
| Authoritativeness | Recognition as a source | Backlinks, citations, author page, publisher reputation |
| Trustworthiness | Accuracy, transparency | Citations, About page, contact, HTTPS, no misleading content |
E-A-T (without Experience) is used in Featured Snippet context—Bing/Google emphasize correctness, document quality, then authority and trust. See featured-snippet.
Author Bio
Components
| Element | Guideline |
|---|---|
| Real name | Full name used consistently across platforms |
| Photo | Professional headshot; compress for LCP |
| Credentials | Current role, relevant experience tied to article topic |
| Verifiable links | LinkedIn, personal site; align sameAs in Person schema |
| Author page | Dedicated page per author; bio, other articles, social |
| Lightweight action (optional) | Newsletter signup, social follow — avoid link stacking |
Placement
- End of article (default): User finishes reading, naturally curious about author; standard for blogs and deep content.
- Top of article: Strong expert endorsement; suited for news, YMYL, or short items.
- Sidebar (desktop): Compact version. Mobile fallback required — sidebar content often disappears on small screens; place author block within the main content column at the bottom on mobile.
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.
- 7d ago First seen · 106 lines · 94 tokens per session scan A 109ff2365a26
eeat-signals is a skill published in the GitHub repository T4wroot/agentic-seo (15 stars, last pushed 8d ago), licensed MIT. It adds 94 tokens to every session and 1,276 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to eeat-signals, differing in 0 lines, and is treated as a copy.
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