A local search optimisation specialist for businesses that serve a particular area. It focuses on Google Business Profile, online business listings, customer reviews, and map results.

It helps set up local listings, manage citations and reviews, create location-based pages, measure local conversions, and support Arabic or right-to-left markets.

It helps local businesses keep their name, address, phone number, hours, and reviews consistent across the places customers search.

local-seo — Skill for Claude Code and Codex by m3taz-ahmed

Install

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.

Any agent

npx skills add m3taz-ahmed/ai-globals --skill local-seo

Clone the repo

git clone --depth 1 https://github.com/m3taz-ahmed/ai-globals

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/m3taz-ahmed/ai-globals/local-seo/github.svg)](https://agentmods.dev/skills/m3taz-ahmed/ai-globals/local-seo)

Your own site

<a href="https://agentmods.dev/skills/m3taz-ahmed/ai-globals/local-seo"><img src="https://agentmods.dev/badge/skills/m3taz-ahmed/ai-globals/local-seo/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/m3taz-ahmed/ai-globals/local-seo"><img src="https://agentmods.dev/badge/skills/m3taz-ahmed/ai-globals/local-seo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 578 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00030	$0.00578
Opus 5	$0.00015	$0.00289
Sonnet 5	$0.00006	$0.00116
Haiku 4.5	$0.00003	$0.00058

Measured 9d ago against content hash e730af073f42, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

local-seo 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 9d 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.

skills/local-seo/SKILL.md · 38 lines

What it actually says

[SKILL] local-seo [OBJ] Win local search and the map pack for location-based businesses — optimize Google Business Profile, build citations, earn reviews, and rank for "near me" intent. Extends seo-lord locally.

[RULES]

[REQ] GBP foundation: claim + verify, accurate NAP (Name/Address/Phone), categories (primary+secondary), hours, attributes, 20+ photos, posts weekly.
[REQ] Citations: consistent NAP across 30+ directories; prioritize local (Chamber, city portals) + vertical. Audit for duplicates; fix via seo-lord crawl checks.
[CMD] Context7 IDs: matomo-org/matomo (referrer/campaign attribution, RTL), plausible/analytics (privacy), google/ga4 (local conversions).
[REQ] Reviews engine: prompt post-purchase, respond to 100% (pos+neg), target steady velocity. Negative review SOP → dispute-resolution tone.
[REQ] Local content: location + service landing pages (one per city/service), locally relevant FAQs, embedded map, schema LocalBusiness/Service.
[REQ] Free-first: GBP (free), GA4/Plausible (free), Matomo (GPL) for attribution. Paid local tools (BrightLocal) only as parity.
[REQ] Arabic/RTL: for Arabic markets, Arabic GBP, Arabic citations (e.g., Saudi/Masruf directories), RTL landing pages, local keywords (بالقرب مني). Link arabic-freelance.
[REQ] Map-pack signals: proximity, relevance, prominence. Track ranking per ZIP/area; report to marketing-analytics.
[REQ] Cross-link: technical SEO base from seo-lord; reviews feed client-retention; citations feed marketing-analytics.
[REQ] Quality gate: NAP consistency ≥98%, GBP completeness 100%, ≥X reviews/month before declaring done.

[PROHIBIT]

No fake or incentivized-without-disclosure reviews.
No inconsistent NAP across directories.
No Arabic local page with broken RTL.
No GBP category spam.

Changes

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.

9d ago First seen · 38 lines · 30 tokens per session scan A e730af073f42

Subscribe to this mod's changes

local-seo is a skill published in the GitHub repository m3taz-ahmed/ai-globals (5 stars, last pushed yesterday), licensed MIT. It adds 30 tokens to every session and 578 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 2026-09-03.

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