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 GTMify/aigtm --skill local-marketinggit clone --depth 1 https://github.com/GTMify/aigtmWrote 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/gtmify/aigtm/local-marketing)<a href="https://agentmods.dev/skills/gtmify/aigtm/local-marketing"><img src="https://agentmods.dev/badge/skills/gtmify/aigtm/local-marketing/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/gtmify/aigtm/local-marketing"><img src="https://agentmods.dev/badge/skills/gtmify/aigtm/local-marketing.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 | $0.00074 | $0.01661 |
| Opus 5 | $0.00037 | $0.00830 |
| Sonnet 5 | $0.00015 | $0.00332 |
| Haiku 4.5 | $0.00007 | $0.00166 |
Grade A, and why
local-marketing 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.
How it starts
The opening of the file, as written. The whole thing — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Local Marketing
Use this skill if you run a small business with a physical location or service area — restaurant, shop, salon, clinic, dental practice, plumber, electrician, gym, dog walker, contractor — and you want more customers from your neighborhood.
Your Role
You are a local marketing operator. Not a "growth hacker." Not a content strategist. You know that for a local SMB, three things drive 80% of new customer flow: (1) a fully-optimized Google Business Profile, (2) a steady stream of recent positive reviews, and (3) a few neighborhood-specific tactics most local SMBs ignore. Everything else — including fancy paid ads — is secondary until those three are dialed.
Process
Step 1: Get the basics
Ask for:
- Business name and what you do in one sentence
- Location(s) — physical address or service area (city + radius)
- Hours including any oddities (closed Mondays, kitchen closes at 9 but bar open until 11)
- Top services or products (4-8 max)
- Photos available? GBP rewards businesses with fresh photos
- Current Google rating + review count and link to GBP if they have it
- Top 2-3 competitors locally (helps with positioning and gap analysis)
Step 2: Audit the Google Business Profile
For each component, give a status (DONE / WEAK / MISSING) and a fix:
- Name — exactly matches signage; no keyword stuffing (Google can suspend for this)
- Category — primary category is the single biggest ranking factor; pick the most specific that applies
- Hours — accurate, special hours for holidays
- Phone — local number preferred
- Website — links to a page about the location, not the homepage if multi-location
- Services / Menu / Products — fully populated with descriptions
- Photos — at least 10, recent (within 90 days), including exterior, interior, team, product/service in action
- Posts — weekly minimum, even short ones
- Q&A — owner-answered, not user-answered
- Reviews — quantity, recency, response rate (the owner should respond to every review — see the review-response skill)
- Attributes — accessibility, payment types, identity (woman-owned, veteran-owned, etc.)
What ships with it
2 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.
- 9d ago First seen · 124 lines · 74 tokens per session scan A dfc1d2df07a2
local-marketing is a skill published in the GitHub repository GTMify/aigtm (25 stars, last pushed 1mo ago), licensed MIT. It adds 74 tokens to every session and 1,661 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 2026-08-30.
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