Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/seranking/seo-skillsnpx agentmods add skills/seranking/seo-skills/seo-hreflangWrote 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/seranking/seo-skills/seo-hreflang)<a href="https://agentmods.dev/skills/seranking/seo-skills/seo-hreflang"><img src="https://agentmods.dev/badge/skills/seranking/seo-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/seranking/seo-skills/seo-hreflang"><img src="https://agentmods.dev/badge/skills/seranking/seo-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 | $0.00094 | $0.03717 |
| Opus 5 | $0.00047 | $0.01858 |
| Sonnet 5 | $0.00019 | $0.00743 |
| Haiku 4.5 | $0.00009 | $0.00372 |
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 12d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- seo-hreflang — 88% identical, 49 lines differ
How it starts
The opening of the file, as written. The whole thing — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Example output: examples/seo-hreflang-airbnb-com-20260514/HREFLANG-REPORT.md
Hreflang Audit
Adapted from AgriciDaniel/claude-seo's seo-hreflang skill (MIT). Concept and validation rules originate there; this implementation is rebuilt against our backend (SE Ranking MCP + Firecrawl + WebFetch + Google APIs via seo-google).
Validate hreflang implementations on a multi-language or multi-region site. Surface SE Ranking audit-level hreflang issues, parse a sample of pages for the actual <link rel="alternate" hreflang="…"> tags they emit, cross-check the sitemap, and produce one of three verdicts — PASS, NEEDS-FIX, or BROKEN — with a top-fixes table anchored in objective signals.
Prerequisites
- SE Ranking MCP server connected.
- Claude's
WebFetchtool available (fallback when Firecrawl is unavailable). - User provides: a target domain (e.g.
example.com). Optional: explicit list of representative pages to inventory; explicit sitemap URL if not at/sitemap.xml. - Predecessor (recommended):
seo-technical-auditorseo-sitemapalready run on this domain. Without an existing audit, the skill creates one (which costs significantly more credits).
Process
- Validate target & preflight. See
skills/seo-firecrawl/references/preflight.mdfor the canonical 3-stage preflight (credit balance, Firecrawl availability, Google APIs). Skill-specific notes:- Normalise domain (strip protocol, trailing slash) before continuing.
- Estimated SE Ranking cost for this skill: ~5–10 SE Ranking credits for re-using an existing audit (up to ~3 Firecrawl credits for the per-URL inventory).
- Firecrawl: optional with WebFetch fallback, ~6 Firecrawl credits if available (hard cap). When available, step 4 (per-URL hreflang inventory) runs on homepage + 5 representative pages with
formats: ["rawHtml"]. Without Firecrawl, step 4 falls back to WebFetch — coverage is degraded because WebFetch returns markdown only and silently strips<link rel="alternate">tags from<head>. Pass--no-firecrawlto force WebFetch even when Firecrawl is available. - Google APIs: tier 1 (GSC) unlocks step 6 (GSC verification of hreflang-targeted alternates). See
skills/seo-google/references/cross-skill-integration.mdfor the full enrichment contract.
What ships with it
1 file 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.
- 12d ago First seen · 181 lines · 94 tokens per session scan A b6b021cbc935
seo-hreflang is a skill published in the GitHub repository seranking/seo-skills (140 stars, last pushed 2mo ago), licensed MIT. It adds 94 tokens to every session and 3,717 once invoked, about $0.0005 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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