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/page-audit

@bdb4922

Use when auditing a specific page's SEO performance, content quality, and competitive position. The agent fetches the URL, Googles the primary keyword, reads the top 3 competitors, and produces a full 7-dimension audit — no exports, no analytics access required.

Use this Skill: https://skilld.dev/gh/inhouseseo/superseo-skills/page-audit

This session only. Nothing lands on disk.

referenceseeat-scoring-rubric-compact.md

≈1.2k tokens on demand. Your agent reads this file only when SKILL.md points to it.

E-E-A-T Scoring Rubric (Compact)

The page-audit skill loads this when scoring Dimension 3. For the full methodology, the eeat-audit skill has the long version. This rubric is the runtime-loadable checklist.

The 30-second heuristic

Skim the page and count specific, datable, first-person observations: numbers with a year attached, a named client, a timestamped screenshot, an error message, a mistake the author made and fixed. Three or more = Experience is probably strong. Zero or one = Experience is absent, no matter how long the bio is.

This single heuristic predicts Dimension 3 more than the other three components combined. Experience is the most underrated E-E-A-T dimension because it's the hardest to fake and the easiest to skip.

Experience (E1)

Strong (8–10)

  • First-person usage accounts with dates ("we ran this Sept 2025 to March 2026")
  • Original screenshots or photos, preferably timestamped
  • Specific dollar amounts, version numbers, error messages
  • What DIDN'T work before the current approach
  • Unexpected or counterintuitive findings

Weak (4–6)

  • Occasional "in my experience" framing with no specifics
  • Generic examples that could apply anywhere
  • A single anecdote with no numbers or dates attached

Absent (1–3)

  • Pure desk-research synthesis with nothing grounded in doing the thing
  • "Imagine you're doing X..." hypotheticals instead of "when I did X"
  • Bio claims experience the content never demonstrates
  • No images, or only stock photography

Expertise (E2)

Strong (8–10)

  • Discusses when the advice does NOT apply ("works for B2B SaaS above €5K ACV, not for consumer apps")
  • Explains the why behind each recommendation
  • Domain terminology used naturally (not stuffed, not oversimplified)
  • Addresses 2+ edge cases or exceptions; tradeoffs acknowledged

Weak (4–6)

  • Surface coverage with no nuance
  • Correct facts but no "it depends" framing
  • Terminology inconsistent or slightly wrong in spots

Absent (1–3)

  • Generic content a smart writer could produce in 30 minutes of research
  • Every claim presented as universal truth
  • Terminology errors a practitioner would never make

Authoritativeness (A)

Strong (8–10)

  • Author has verifiable identity (LinkedIn, other published work, speaker pages)
  • Content sits within a broader topical cluster on the same domain
  • Cites recognized experts accurately and in context

Weak (4–6)

  • Byline exists but bio is generic ("SEO expert with years of experience")
  • Orphaned content, not connected to other pieces on the topic
  • Vague citations ("studies show...") or missing

Absent (1–3)

  • No author attribution, or attributed to "Editorial Team" / the brand
  • Standalone page with no topical cluster around it
  • No external citations, or citations to low-quality sources

Trustworthiness (T)

Strong (8–10)

  • Every statistic has a named source with date
  • Affiliate relationships, sponsorships, biases disclosed clearly
  • Claims hedged when appropriate ("in our testing" vs "always")
  • Transparent methodology for any original data
  • Last-updated date with a real changelog, not a fake date-bump

Weak (4–6)

  • Inconsistent citations
  • Affiliate links present but disclosure is buried
  • Minor factual errors or outdated claims a practitioner would catch

Absent (1–3)

  • Unverifiable claims, fabricated statistics, dead-URL citations
  • Affiliate content disguised as editorial
  • Known factual errors on YMYL topics
  • No author, no date, no corrections

Red flags: schema without substance

Gaming tells. Score any of these as immediate Trustworthiness problems.

  • Person schema + rich author bio + zero demonstrated experience in the content. Markup claims "20 years experience"; content is a 400-word generic summary.
  • Review schema without reviews. AggregateRating with no visible review text, or reviews written by the brand itself.
  • FAQ schema with questions no real user would ask. Questions that use exact keyword verbiage rather than natural phrasing. FAQ was reverse-engineered from the schema, not from user data.
  • Credentials the content never needs. "PhD in molecular biology" on a content marketing blog. There for E-E-A-T LARP, not because it informs the writing.
  • "Last updated" date that moves but the content doesn't. Spot-check against the Wayback Machine if recency feels off.

Cross-reference

For the full methodology (auditing author pages, Quality Rater Guidelines treatment of Experience, YMYL thresholds), invoke the eeat-audit skill. This file is the tight version for inline Dimension 3 scoring.

Source: SKILL.md on GitHub

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  • Gen Agent Trust Hub16d

    The skill is a comprehensive SEO audit tool that performs deep analysis of web pages and competitor content. It uses external fetching and search capabilities to gather data. The security profile is generally safe, with low-level risks associated with processing untrusted external web content (indirect prompt injection surface) and general network activity to non-whitelisted domains.

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  • Snyk16d

    Risk: MEDIUM · 1 issue

Signed by skilld at bdb4922. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 3 weeks ago.

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