Content
63%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 contains genuinely valuable tool-specific knowledge (notably the schema-markup detection limitation for web_fetch/curl) and a sound priority framework, but most of its length is standard SEO checklist knowledge Claude already possesses, inlined rather than progressively disclosed. Tightening it around the novel material and offloading the generic checklists to reference files would substantially improve token efficiency.
Suggestions
Trim the generic on-page and content-quality checklists (title/meta/heading/image best practices, E-E-A-T definitions, CWV thresholds) to the few items where you add a non-obvious check or threshold — Claude already knows standard SEO practice — and keep the body focused on the audit procedure, priorities, and report format.
Move the detailed checklists (per-site-type common issues, crawlability/indexation detail, tool lists) into one-level-deep reference files (e.g., references/technical-seo-checklist.md, references/on-page-checklist.md), keeping SKILL.md as a compact overview that links to them as it already does for ai-writing-detection.md.
Add an explicit ordered workflow with validation checkpoints — e.g., 1. gather context, 2. crawl/indexation checks, 3. technical, 4. on-page sampling, 5. report per the output format — including a rule that findings must be confirmed with a JS-rendering method before reporting 'missing schema,' so the sequence and verification steps are stated rather than implied.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Bullet lists are tight rather than padded, but large stretches restate standard SEO knowledge Claude already has — title-tag lengths ("50-60 characters"), meta-description lengths, one-H1 rules, E-E-A-T definitions, CWV thresholds, image alt-text best practices. Fits 'mostly efficient but includes some unnecessary explanation or could be tightened'; not a 2 because the genuinely novel material (the web_fetch/JSON-LD detection limitation) is high-value and no section is padded prose. | 3 / 5 |
Actionability | Mostly concrete: specific thresholds (LCP < 2.5s, INP < 200ms, CLS < 0.1), a runnable browser command (document.querySelectorAll('script[type="application/ld+json"]')), named tools per task (Rich Results Test, Search Console coverage report), and a defined per-issue report format (Issue/Impact/Evidence/Fix/Priority). Falls short of 5 because many checks are 'check for X' bullets with no how (e.g., robots.txt and internal-link checks have no commands or procedures), leaving minor gaps. | 4 / 5 |
Workflow Clarity | A workable sequence exists — initial assessment questions, a five-level Priority Order (crawlability → technical → on-page → content → authority), and a structured output format with a prioritized action plan. Not a 5: checkpoints are implicit (no explicit verification that a finding is confirmed before reporting, despite the skill itself warning that web_fetch-only checks produce false findings), and the connection between the sections as a step-by-step process is never stated as an ordered workflow. | 4 / 5 |
Progressive Disclosure | The one reference (references/ai-writing-detection.md) is real, one level deep, and clearly signaled with a description, but ~450 lines of detailed per-site-type checklists, on-page checklists, and tool lists are inlined in SKILL.md when they would serve better as reference files. Fits 'some structure but content that should be separate is inline'; not a 4 because the body carries far more reference-grade detail than overview content. | 3 / 5 |
Total | 14 / 20 Passed |