Content
61%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is a well-organized, largely actionable audit reference with real executable commands, specific scoring weights, and good one-level-deep references. Its weaknesses are verbosity from restating basic SEO knowledge and inline changelog-style date commentary, plus an only implicit audit workflow without explicit sequencing or validation checkpoints.
Suggestions
Move the dated changelog commentary (March 2024 HCU merge, QRG version dates, 2026 doc publication dates, Gemini 3.5 Flash default) into a single 'Google guidance timeline' reference file or the referenced detail files, keeping the body evergreen.
Trim sections that restate knowledge Claude already has (Multimedia, Internal/External Linking, Readability sentence/paragraph basics) down to the skill-specific thresholds that differ from general knowledge, and merge the two GEO/AI-citation sections to remove duplication.
Make the audit sequence explicit — a numbered workflow (fetch and confirm retrievable content, run Who/How/Why, score E-E-A-T sub-factors, compute metrics, optional cleanup, render Output) with the error-handling table wired in as checkpoints between steps.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Core checklists are dense and skill-specific (word-count floors table, E-E-A-T weight split 30/25/25/20, error-handling actions), but generic SEO knowledge Claude already has is restated ("Relevant images with proper alt text", "Secure site (HTTPS)", "Sentence length: average 15-20 words", "Open in new tab"), and heavy time-sensitive date annotations are inlined rather than in a deprecated/old-patterns section ("March 2024 core update", "QRG ... September 11, 2025", "published 2026-05-15, last updated 2026-07-10", "Gemini 3.5 Flash became the default on 2026-05-19"), with the Gen-AI-is-SEO point stated twice (AI Content Assessment blockquote and the GEO section). This is more padding than the level-4 anchor allows but the majority of sections are still efficient, so it sits at 3 rather than 2. | 3 / 5 |
Actionability | Concrete, executable guidance dominates: copy-paste-ready commands ("\"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo\" run content_humanize.py draft.md -o cleaned.md", "seo_updates.py --since <yyyy-mm> --json"), a specific output template with per-factor score bands (Experience XX/20 ... Trustworthiness XX/30), page-type minimum table, named MCP tools ("kw_data_google_ads_search_volume", "content_analysis_summary"), and a per-scenario error-action table. Not level 5 because the page-fetch/analysis mechanics are left implicit and some criteria sections remain descriptive checklists rather than fully specified instructions. | 4 / 5 |
Workflow Clarity | An audit sequence is implied by section order and the Output template (Who/How/Why test first, then E-E-A-T scoring, then metrics, then cleanup), and the Error Handling table gives explicit contingencies for unreachable, paywalled, and thin-content pages. But no explicitly numbered or ordered steps exist, checkpoints are implicit (e.g., no instruction to confirm successful fetch before scoring E-E-A-T), and the update-correlation workflow's hypothesis-check is a caveat rather than a validation loop — matching the level-3 anchor of 'sequence present but checkpoints missing or implicit' rather than level 4's 'most checkpoints present'. | 3 / 5 |
Progressive Disclosure | References are clearly signaled and one level deep ("Read .../references/eeat-framework.md for full criteria and .../eeat-scoring-guide.md for score bands", cross-referencing the seo-geo skill's google-ai-optimization-guide.md), and sections are well-organized with a coherent overview-plus-details split. Below level 5 because the inlined E-E-A-T sub-bullets and metrics checklists partially duplicate the referenced detail files, GEO guidance appears in two separate sections, and no bundle files (references/, scripts/) exist alongside this SKILL.md to verify the referenced paths resolve. | 4 / 5 |
Total | 14 / 20 Passed |