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 lionkiii/claude-seo-skills --skill seo-eeat-auditgit clone --depth 1 https://github.com/lionkiii/claude-seo-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/lionkiii/claude-seo-skills/seo-eeat-audit)<a href="https://agentmods.dev/skills/lionkiii/claude-seo-skills/seo-eeat-audit"><img src="https://agentmods.dev/badge/skills/lionkiii/claude-seo-skills/seo-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/lionkiii/claude-seo-skills/seo-eeat-audit"><img src="https://agentmods.dev/badge/skills/lionkiii/claude-seo-skills/seo-eeat-audit.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 | $0.00077 | $0.01520 |
| Opus 5 | $0.00039 | $0.00760 |
| Sonnet 5 | $0.00015 | $0.00304 |
| Haiku 4.5 | $0.00008 | $0.00152 |
Grade A, and why
seo-eeat-audit scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- **URL** — fetch with WebFetch (fallback `curl -sL`), or How it starts
The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
E-E-A-T Audit & Scoring
Framing (state this in every report — from Google's helpful-content doc)
- E-E-A-T is NOT a specific ranking factor. Google's systems use a mix of factors that can identify content with good E-E-A-T.
- Quality raters use E-E-A-T to evaluate whether ranking systems are working; rater data is not used directly in ranking ("feedback cards from diners"). Rater guidelines: https://services.google.com/fh/files/misc/hsw-sqrg.pdf
- Trust is the most important member. The others contribute to trust; content doesn't have to demonstrate all four.
- YMYL gets extra weight: topics affecting health, financial stability, safety, or societal welfare are held to stronger E-E-A-T. Detect YMYL and raise the pass bar one point per dimension.
Inputs
- URL — fetch with WebFetch (fallback
curl -sL), or - Local draft — Read tool (markdown/HTML). For drafts, score content-side signals only and mark site-level signals (HTTPS, about page) as N/A.
Execution
- Fetch the page HTML; also fetch the homepage,
/about, and/contact(HEAD or GET) to verify site-level trust pages exist. - Detect signals per dimension using the rubric below (HTML parsing
heuristics: bylines,
rel=author, Person/ProfilePage JSON-LD,<time>elements, outbound citation links, first-person experience markers). - Score each dimension 0-5 with a verbatim evidence quote from the page for every point awarded or withheld.
- Run the "Who, How, Why" questions (below).
- Recommend the 3 highest-impact improvements (lowest-scoring dimension first; Trust outranks ties).
Scoring Rubric (0-5 per dimension)
Experience — first-hand use or involvement
Detectable signals:
- First-person evidence markers: "we tested", "I used", "after 6 months of..."
- Original photos/screenshots/video clearly taken by the author (not stock)
- Concrete specifics only a participant would know (test counts, settings, prices paid, dates visited)
- Before/after results, process documentation, original data
- For reviews: evidence of the work involved, per Google's product reviews guidance (https://developers.google.com/search/docs/specialty/ecommerce/write-high-quality-reviews)
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 · 151 lines · 77 tokens per session scan A 13513d0ce7c5
seo-eeat-audit is a skill published in the GitHub repository lionkiii/claude-seo-skills (20 stars, last pushed 3mo ago), licensed MIT. It adds 77 tokens to every session and 1,520 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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