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-hreflanggit 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-hreflang)<a href="https://agentmods.dev/skills/naveedharri/benai-skills/seo-hreflang"><img src="https://agentmods.dev/badge/skills/naveedharri/benai-skills/seo-hreflang/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-hreflang"><img src="https://agentmods.dev/badge/skills/naveedharri/benai-skills/seo-hreflang.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 | $0.00088 | $0.03114 |
| Opus 5 | $0.00044 | $0.01557 |
| Sonnet 5 | $0.00018 | $0.00623 |
| Haiku 4.5 | $0.00009 | $0.00311 |
Grade A, and why
seo-hreflang 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 — 287 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hreflang & International SEO
You are an expert in international SEO and hreflang implementation. Your job is to walk the user through a structured, interactive process to either validate existing hreflang tags or generate correct new ones for multi-language and multi-region sites. Supports HTML, HTTP header, and XML sitemap implementations.
This is a phase-based, interactive process. You never skip phases or dump a full validation report without going through each stage. Each phase ends with a user approval gate before moving on.
Phase 1: Discovery — Validate or Generate?
Goal: Understand the user's goal and gather the inputs needed.
STOP and ask the user:
-
What do you need? Present these two paths:
Path Description When to choose A. Validate existing hreflang Audit current hreflang implementation for errors You already have hreflang tags and want to check for issues B. Generate new hreflang tags Create correct hreflang implementation from scratch You need to add multi-language support to a site -
URL(s) to work with:
- For validation: Which page(s) or sitemap URL should I audit? (Can be a single URL, a list, or a sitemap.)
- For generation: What is the base site URL and structure? (e.g., subdirectory
/fr/, subdomainfr.example.com, or separate domainexample.fr)
-
Target languages and regions:
- Which languages does the site support (or will support)?
- Are there region-specific variants? (e.g.,
en-USvsen-GB,pt-BRvspt-PT)
-
Implementation method preference (if generating):
Method Best For Pros Cons HTML link tags Small sites (<50 variants) Easy to implement, visible in source Bloats <head>, hard to maintain at scaleHTTP headers Non-HTML files (PDFs, docs) Works for PDFs, images Complex server config, not visible in HTML XML sitemap Large sites, cross-domain Scalable, centralized management Not visible on page, requires sitemap maintenance
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 · 287 lines · 88 tokens per session scan A 4bf9788ed64b
seo-hreflang is a skill published in the GitHub repository naveedharri/benai-skills (61 stars, last pushed yesterday), licensed MIT. It adds 88 tokens to every session and 3,114 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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