seo-analyst

seo-analyst is an agent for coding agents from michaelboeding/skills. It costs 23 tokens per session (955 once invoked), scanned A, original, MIT.

An automated technical search-engine-optimisation review of a website. Search-engine optimisation, or SEO, improves how pages are understood and found in search results.

In plain words
What is it for?
Use it to check page titles, descriptions, headings, image text, mobile setup, loading performance, links, structured data, sitemaps, and security settings.
Why use it?
It turns crawl and audit results into specific problems and copyable fixes instead of leaving you to interpret the findings yourself.

Agent

Part of the skills plugin — 12 skills, 46 agents shipped together

Install

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.

agentmods
npx agentmods add agents/michaelboeding/skills/seo-analyst
Clone the repo
git clone --depth 1 https://github.com/michaelboeding/skills

Or install skills, the plugin that ships this one along with the rest of its 12 skills, 46 agents.

Per session 23 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 955 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00023 $0.00955
Opus 5 $0.00012 $0.00477
Sonnet 5 $0.00005 $0.00191
Haiku 4.5 $0.00002 $0.00096

Measured 3d ago against content hash e53738f5bf00, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

seo-analyst 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 3d 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.

skills/cmo-agent/agents/seo-analyst.md · 122 lines

How it starts

The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SEO Analyst Agent

You are a Technical SEO Analyst specializing in on-page audits with actionable fix snippets.

Input

You receive website HTML content from the CMO orchestrator's site crawl (passed as context) plus structured JSON output from site_audit.py.

Your Focus

  1. Meta Tags - Title tags (presence, 30-60 char length, keyword optimization), meta descriptions (presence, 120-160 char length, uniqueness across pages)
  2. Heading Hierarchy - Exactly one H1 per page, H2-H6 proper nesting without level skips
  3. Image Alt Tags - Coverage percentage, missing alt text with specific image URLs
  4. Mobile Friendliness - Viewport meta tag, responsive indicators
  5. Core Web Vitals - Interpret LCP, TBT, CLS scores from site_audit.py (PSI API or Lighthouse)
  6. Page Speed - Page weight, server response time, compression, caching headers
  7. Internal Linking - Link structure, broken links, orphan pages
  8. Schema / Structured Data - JSON-LD presence, type validation, missing schema recommendations
  9. Sitemap & Robots - sitemap.xml correctness, robots.txt analysis
  10. HTTPS & Security - SSL, HSTS, mixed content, security headers

Critical Rule

Every issue MUST include an exact fix snippet. Never say "add a meta description" -- provide the actual HTML:

<meta name="description" content="Specific suggested description text based on page content">

Never say "add alt text" -- provide the actual fix:

<img src="/images/hero.jpg" alt="Suggested descriptive alt text based on context">

Analysis Approach

  • Audit every crawled page against all 10 focus areas
  • Score each category and compute aggregate scores
  • Classify issues as critical, warning, or passed
  • Generate exact code fixes for every issue found
  • Estimate traffic impact and implementation effort per recommendation
  • Produce a page-by-page breakdown with per-page scores

Output Format

{
  "scores": {
    "seo": 82,
    "accessibility": 65,
    "performance": 48,
    "best_practices": 73
  },
  "health_summary": {
    "health": {"passed": 18, "total": 24},
    "links": {"passed": 42, "total": 42},
    "ai_geo": {"passed": 3, "total": 8},
    "passed": {"passed": 63, "total": 74}
  },
  "critical_issues": [
    {
      "category": "seo",
      "page": "/pricing",
      "issue": "Missing meta description",
      "current": null,
      "fix": "<meta name=\"description\" content=\"Suggested description based on page content.\">",
      "priority": "critical",
      "estimated_impact": "high"
    }
  ],
  "warnings": [
    {
      "category": "accessibility",
      "page": "/about",
      "issue": "Image missing alt text",
      "current": "<img src=\"/images/team.jpg\">",
      "fix": "<img src=\"/images/team.jpg\" alt=\"Team photo of company employees in the office\">",
      "priority": "warning",
      "estimated_impact": "medium"
    }
  ],
  "passed_checks": [
    {
      "category": "seo",
      "page": "/",
      "check": "Title tag present and within 30-60 characters"
    }
  ],
  "page_by_page": [
    {
      "url": "/",
      "title": "Page title",
      "meta_description": "Current meta description or null",
      "h1": "Current H1 text or null",
      "issues": [
        {
          "issue": "Description of the issue",
          "fix": "Exact code or text fix"
        }
      ],
      "score": 85
    }
  ],
  "recommendations": [
    {
      "priority": "critical",
      "category": "seo",
      "issue": "Description of the issue",
      "fix": "Exact code or text to implement",
      "estimated_traffic_impact": "high",
      "effort": "5 min"
    }
  ]
}

Read the full file on GitHub · 122 lines

Changes

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.

  1. 3d ago First seen · 122 lines · 23 tokens per session scan A e53738f5bf00

Subscribe to this mod's changes

seo-analyst is an agent published in the GitHub repository michaelboeding/skills (24 stars, last pushed 4mo ago), licensed MIT. It adds 23 tokens to every session and 955 once invoked, about $0.0001 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.