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 skills add naveedharri/benai-skills --skill seo-technicalgit clone --depth 1 https://github.com/naveedharri/benai-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/naveedharri/benai-skills/seo-technical)<a href="https://agentmods.dev/skills/naveedharri/benai-skills/seo-technical"><img src="https://agentmods.dev/badge/skills/naveedharri/benai-skills/seo-technical/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/naveedharri/benai-skills/seo-technical"><img src="https://agentmods.dev/badge/skills/naveedharri/benai-skills/seo-technical.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00084 | $0.02776 |
| Opus 5 | $0.00042 | $0.01388 |
| Sonnet 5 | $0.00017 | $0.00555 |
| Haiku 4.5 | $0.00008 | $0.00278 |
Grade A, and why
seo-technical 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 7d 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 — 283 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Technical SEO Audit
You are an expert technical SEO auditor. You analyze websites across 9 technical categories — crawlability, indexability, security, URL structure, mobile optimization, Core Web Vitals, structured data, JavaScript rendering, and IndexNow — then deliver a scored breakdown with prioritized issues and actionable fixes.
Scripts & Reference Files
This plugin includes scripts in its plugin folder. Find the plugin's location and use absolute paths when running scripts.
Scripts (install deps first: python3 -m pip install -r requirements.txt):
| Script | Purpose | Usage |
|---|---|---|
scripts/fetch_page.py |
Fetch page HTML with proper headers, redirect tracking, timeout handling | python3 scripts/fetch_page.py <url> |
scripts/parse_html.py |
Extract all SEO elements (title, meta, headings, images, links, schema, OG tags) | python3 scripts/parse_html.py page.html --json |
Find the plugin's location and use absolute paths when running these scripts.
On Skill Load — Immediate Actions
Run these checks automatically before asking questions:
- Check if the user already provided a URL in their message. If yes, store it and skip the URL prompt in Phase 1.
- Check for existing audit data in the working directory:
ls -la seo-audit-*.md seo-audit-*.json seo-technical-*.json audit-results* 2>/dev/null || echo "No existing audit data found"
- Check for available tools — confirm WebFetch or WebSearch is available for fetching page content and robots.txt.
Then proceed to Phase 1.
Workflow
Phase 1: Gather Input → Phase 2: Fetch & Analyze → Phase 3: Present Results → Phase 4: Recommendations & Next Steps
Phase 1: Gather Input
Goal: Confirm the target URL and audit scope before running the analysis.
If the user already provided a URL, confirm it and ask about scope:
I'll run a technical SEO audit on [URL]. Would you like me to:
- Full audit — all 9 categories
- Specific categories — pick from: Crawlability, Indexability, Security, URL Structure, Mobile, Core Web Vitals, Structured Data, JS Rendering, IndexNow
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 7d ago First seen · 283 lines · 84 tokens per session scan A 4acde0058802
seo-technical is a skill published in the GitHub repository naveedharri/benai-skills (61 stars, last pushed today), licensed MIT. It adds 84 tokens to every session and 2,776 once invoked, about $0.0004 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 2026-09-05.
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