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 seranking/seo-skills --skill seo-localgit clone --depth 1 https://github.com/seranking/seo-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/seranking/seo-skills/seo-local)<a href="https://agentmods.dev/skills/seranking/seo-skills/seo-local"><img src="https://agentmods.dev/badge/skills/seranking/seo-skills/seo-local/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-local"><img src="https://agentmods.dev/badge/skills/seranking/seo-skills/seo-local.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 | $0.00138 | $0.04781 |
| Opus 5 | $0.00069 | $0.02390 |
| Sonnet 5 | $0.00028 | $0.00956 |
| Haiku 4.5 | $0.00014 | $0.00478 |
Grade A, and why
seo-local 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 11d 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-local — 88% identical, 28 lines differ
How it starts
The opening of the file, as written. The whole thing — 227 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Example output: examples/seo-local-sweetgreen-com-20260514/LOCAL-SEO-REPORT.md
Local SEO
Score a local business's website against the signals that drive local-pack and "near me" visibility — GBP integration on the page, NAP consistency, on-page local intent, citation footprint on Tier-1 directories, review-platform presence, and local-pack rank for the business's primary keywords. Deliverable is one prioritised fix list, anchored in observable signals.
Adapted from
AgriciDaniel/claude-seo'sseo-localskill (MIT). Concept and dimension structure mirror the upstream; backend rewired to SE Ranking + Firecrawl + Google APIs. DataForSEO Maps geo-grid and Business Listings checks from the upstream are dropped (no equivalent backend) — see "Limitations" in the deliverable.
Prerequisites
- SE Ranking MCP server connected (used for local-pack rank, on-page audit data, domain context).
- Claude's
WebFetchtool available (used for sense-check fallback when Firecrawl is unavailable). - User provides: (a) a target domain or homepage URL, (b) at least one primary local keyword (e.g.
"dentist Brooklyn","plumber near me"), (c) target country and ideally city/region for local-pack scoping. Optional: GBP listing URL, Yelp/Trustpilot URLs for review scraping.
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 the target (strip protocol from domain; confirm homepage is fetchable). Confirm at least one local keyword was provided — if none, infer from
<title>+<h1>of the homepage; if still ambiguous, ask the user before continuing. - Estimated SE Ranking cost for this skill: ~15–25 credits (1 audit re-check + 3–5 SERP queries + 1 domain overview).
- Firecrawl: optional with WebFetch fallback, ~6–9 Firecrawl credits if available (hard cap 12). When available, steps 4 (GBP-on-page audit), 5 (NAP extraction), and 7 (review scraping) run on the homepage + 5 sample pages + provided review URLs. Without Firecrawl those steps degrade to WebFetch-only — schema/JSON-LD detection and
tel:/ address element extraction become best-effort prose inspection. Pass--no-firecrawlto force WebFetch-only. - Google APIs: tier 1 (GSC) unlocks step 8b (GSC local query performance) after the local-pack rank step; tier 2 (GA4) additionally unlocks step 8c (GA4 organic-by-landing-page enrichment). See
skills/seo-google/references/cross-skill-integration.mdfor the full enrichment contract.
- Normalise the target (strip protocol from domain; confirm homepage is fetchable). Confirm at least one local keyword was provided — if none, infer from
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.
- 11d ago First seen · 227 lines · 138 tokens per session scan A b4ddd92d61c2
seo-local is a skill published in the GitHub repository seranking/seo-skills (139 stars, last pushed 2mo ago), licensed MIT. It adds 138 tokens to every session and 4,781 once invoked, about $0.0007 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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