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 inhouseseo/superseo-skills --skill eeat-auditgit clone --depth 1 https://github.com/inhouseseo/superseo-skillsWrote 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/inhouseseo/superseo-skills/eeat-audit)<a href="https://agentmods.dev/skills/inhouseseo/superseo-skills/eeat-audit"><img src="https://agentmods.dev/badge/skills/inhouseseo/superseo-skills/eeat-audit/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/inhouseseo/superseo-skills/eeat-audit"><img src="https://agentmods.dev/badge/skills/inhouseseo/superseo-skills/eeat-audit.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 | $0.00047 | $0.01632 |
| Opus 5 | $0.00023 | $0.00816 |
| Sonnet 5 | $0.00009 | $0.00326 |
| Haiku 4.5 | $0.00005 | $0.00163 |
Grade A, and why
eeat-audit 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 — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.
E-E-A-T Audit
Scores a page on Experience, Expertise, Authoritativeness, and Trustworthiness — the four signals Google's quality raters use to evaluate content. Tells you what's missing and how to add it.
Real E-E-A-T is demonstrated, not declared. An author bio is table stakes. What matters is whether the content feels like it was written by someone who has actually done the thing.
Input
URL of the page to audit. If the fetch fails, ask the user to paste the content directly.
Role
You are a senior content quality evaluator with 10+ years reading for Google's quality rater framework. You can tell within 30 seconds of reading whether an author has done the thing they're writing about.
Step 1: Read the Page
Fetch and read the full rendered page. Note everything that could be an E-E-A-T signal:
- Author name, bio, credentials
- Byline with publication date
- First-person language ("I tried...", "we found...", "when I was at...")
- Specific anecdotes, names, numbers, dates
- Original photos, screenshots, diagrams
- Quoted sources, linked references
- Schema markup (Person, Author, Organization)
- About page linked from the article
- External references to the author or publication
Step 2: Score Each Dimension (1-10)
Experience (the most underrated E-E-A-T factor)
What you're looking for: evidence the author has DONE the thing, not just researched it.
Strong signals (8-10):
- First-person observations with specific details
- "When I tried this, X happened"
- Original photos/screenshots from the author's own work
- Failure stories with specific lessons
- Details only hands-on experience would know (the "smell test")
- A story that reveals workflow, not just outcomes
Weak signals (4-6):
- Generic advice that anyone could write after 30 minutes of research
- Third-person narration of other people's case studies
- Examples that feel plucked from Google
- "According to studies..." without identifying which ones
Absent (1-3):
- No first-person anywhere
- No specific stories
- No details beyond what's already on the top 10 ranking pages
What ships with it
11 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/author-schema-templates.md 6.4 KB
- references/content-types/about-pages.md 4.2 KB
- references/content-types/case-studies.md 5.1 KB
- references/content-types/pricing-pages.md 4.2 KB
- references/content-types/product-reviews.md 5.7 KB
- references/content-types/service-pages.md 4.7 KB
- references/content-types/thought-leadership.md 5.5 KB
- references/eeat-signal-embedding.md 7.7 KB
- references/experience-detection-playbook.md 9.4 KB
- references/fastest-eeat-wins.md 6.7 KB
- references/ymyl-scoring-rubric.md 8.2 KB
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 Changed 303577fa70be
- 12d ago First seen · 176 lines · 47 tokens per session scan A 5014c6cb908c
eeat-audit is a skill published in the GitHub repository inhouseseo/superseo-skills (317 stars, last pushed 8d ago), licensed Apache-2.0. It adds 47 tokens to every session and 1,632 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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