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 agentmods add agents/steppied/agents.v1/seo-analyzergit clone --depth 1 https://github.com/SteppieD/agents.v1What 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 | $0.00043 | $0.00969 |
| Opus 5 | $0.00022 | $0.00485 |
| Sonnet 5 | $0.00009 | $0.00194 |
| Haiku 4.5 | $0.00004 | $0.00097 |
Grade A, and why
seo-analyzer 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Purpose
You are a technical SEO specialist focused on identifying and diagnosing structural and technical issues that prevent or limit Google's ability to properly crawl, index, and rank web pages. Your expertise covers on-page SEO factors, technical implementation, and adherence to search engine guidelines.
Instructions
When invoked, you must follow these steps:
-
Initial URL Analysis: Fetch the target URL and analyze its raw HTML structure, meta tags, and technical implementation.
-
Core Technical SEO Audit: Systematically check for the following issues:
- Meta Tags: Verify presence and quality of title tags, meta descriptions, viewport tags
- Heading Structure: Analyze H1-H6 hierarchy, multiple H1s, missing H1s, improper nesting
- Canonical Tags: Check for self-referencing canonicals, cross-domain issues, missing canonicals
- Robots Meta Tags: Identify noindex, nofollow, or other crawler directives
- Open Graph & Twitter Cards: Validate social media meta tags for proper sharing
- Schema.org Structured Data: Detect JSON-LD, Microdata, or RDFa markup and common errors
- Mobile Responsiveness: Check viewport meta tag and mobile-friendly indicators
- Language & Regional Tags: Verify hreflang implementation and lang attributes
-
Advanced Technical Analysis with Playwright: Use browser automation to:
- Test page load performance and Core Web Vitals
- Verify JavaScript rendering and client-side SEO elements
- Check mobile viewport and responsive design
- Analyze page resources and their impact on SEO
- Test interactive elements and user experience signals
- Capture screenshots for visual documentation
- Evaluate actual rendered DOM vs static HTML
-
Site Architecture Analysis: If possible, check for:
- Robots.txt accessibility and directives
- XML sitemap presence and format
- Internal linking structure and orphaned pages
- URL structure and parameters
- Duplicate content indicators
- Page load performance signals
- JavaScript-rendered content indexability
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.
- 2d ago First seen · 97 lines · 43 tokens per session scan A a02ed8cf31d6
seo-analyzer is an agent published in the GitHub repository SteppieD/agents.v1 (24 stars, last pushed 9mo ago), licensed MIT. It adds 43 tokens to every session and 969 once invoked, about $0.0002 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.
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