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/growthenginenowoslawski/coldoutboundskillsnpx agentmods add skills/growthenginenowoslawski/coldoutboundskills/google-maps-list-builderWrote 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/growthenginenowoslawski/coldoutboundskills/google-maps-list-builder)<a href="https://agentmods.dev/skills/growthenginenowoslawski/coldoutboundskills/google-maps-list-builder"><img src="https://agentmods.dev/badge/skills/growthenginenowoslawski/coldoutboundskills/google-maps-list-builder/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/growthenginenowoslawski/coldoutboundskills/google-maps-list-builder"><img src="https://agentmods.dev/badge/skills/growthenginenowoslawski/coldoutboundskills/google-maps-list-builder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 700 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 711 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00077 | $0.06479 |
| Opus 5 | $0.00039 | $0.03240 |
| Sonnet 5 | $0.00015 | $0.01296 |
| Haiku 4.5 | $0.00008 | $0.00648 |
Grade A, and why
google-maps-list-builder scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
const res = await fetch(url.toString(), { Copies of this mod
1 near-identical copy found in the catalogue:
- google-maps-list-builder — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 768 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Maps List Builder
A self-contained tool for scraping business listings from Google Maps. Give it a search query (e.g., "pizza restaurant") and a location (zip code, city, or coordinates), and it returns structured data for every matching business — written to CSV.
How this fits in the cold email flow
Google Maps gives you COMPANIES (name, domain, phone, address, ratings). It does NOT give you PEOPLE. To run cold email:
- Run this skill → CSV of businesses with
company_domain - Run
/icp-prompt-builderon a sample of 50 — tune a qualification prompt to filter out bad fits before paying for downstream enrichment - Run
/blitz-list-builderwith the filtered CSV → adds owners/managers to each business - Run
/email-waterfall→ fills in missing emails - Run
/cold-email-starter-kit'ssmartlead-add-leads.ts→ upload to Smartlead
This skill is only the first step.
Required step: Qualify with /icp-prompt-builder
This is a required step. Do not skip it.
Google Maps will happily return 10,000 "pizza restaurants in Illinois," but most of those won't match your actual ICP (maybe you only want 50-200 seat operators, or only ones without online ordering). Before spending on enrichment, sample ~50 results and run /icp-prompt-builder:
- Evaluate 10 results with an AI qualification prompt
- You flag "this one should be NO, they're a chain franchise"
- Refine, run next 10
- Stop when 2 rounds show no corrections
- Apply tuned prompt to filter the rest of the scrape
Why required: downstream owner-finding (via /blitz-list-builder) and email waterfall cost $0.10-$0.30 per contact. On a 10,000-business scrape, that's $1K-$3K. Qualifying upfront saves 50-80% of that spend on average.
What You Need Before Starting
- Node.js 18+ and npm installed
- A RapidAPI account (free tier available) with a subscription to the Maps Data API:
- Sign up at https://rapidapi.com
- Subscribe to the API: https://rapidapi.com/alexanderxbx/api/maps-data
- Copy your RapidAPI key from the dashboard (it's in the
X-RapidAPI-Keyheader on any endpoint page)
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 · 768 lines · 77 tokens per session scan A f43f5202d065
google-maps-list-builder is a skill published in the GitHub repository growthenginenowoslawski/coldoutboundskills (702 stars, last pushed 24d ago), licensed MIT. It adds 77 tokens to every session and 6,479 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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