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/Zevenue/headless-gtmnpx agentmods add skills/zevenue/headless-gtm/02-apify-maps-discoverWrote 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/zevenue/headless-gtm/02-apify-maps-discover)<a href="https://agentmods.dev/skills/zevenue/headless-gtm/02-apify-maps-discover"><img src="https://agentmods.dev/badge/skills/zevenue/headless-gtm/02-apify-maps-discover/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/zevenue/headless-gtm/02-apify-maps-discover"><img src="https://agentmods.dev/badge/skills/zevenue/headless-gtm/02-apify-maps-discover.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00101 | $0.01571 |
| Opus 5 | $0.00051 | $0.00785 |
| Sonnet 5 | $0.00020 | $0.00314 |
| Haiku 4.5 | $0.00010 | $0.00157 |
Grade A, and why
02-apify-maps-discover 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 10d 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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Apify Maps Discovery
Turn a vertical + a place into a clean prospect list, scraped from Google Maps
via the maintained Apify Compass actor (compass~crawler-google-places). We
wrap the best existing actor rather than build our own scraper - Compass already
handles proxies, anti-bot, and layout drift, and offers built-in email/contact
enrichment. Output is the normalized Zevenue ProspectRecord schema (JSON + CSV).
Process
- Confirm inputs. Need
search_term(the vertical) andgeo(the area). Defaults:max_results=200,min_rating=4.0. Ask only if missing/ambiguous. - Estimate cost and gate. The skill prints an estimate before calling the
API. If it exceeds $10, it requires explicit confirmation (
--yesor an interactive y/N). Never bypass this silently. - Run the actor. Calls the Compass sync endpoint with the built input
(
searchStringsArray,locationQuery,maxCrawledPlacesPerSearch,placeMinimumStars). Add enrichment only when asked (see flags). - Normalize. Each raw place is mapped to the shared 15-field ProspectRecord so it's comparable with the Outscraper / Google Places skills.
- Write the run folder. Writes
runs/<run-id>/perheadless-gtm-shared/CONVENTIONS.md:records.jsonl(the shared chain format 03+ consume -company,domain,person, plus the firmographic fields),tracker.json,meta.json(count + spend estimate),prospects.json(all 15 ProspectRecord fields), andrecords.csvfor humans. Report the row count and path; downstream skills readruns/<run-id>/records.jsonl(e.g. 05'scollect --records).
Usage
# install deps once (use a venv - system Python is externally-managed)
pip install -r ../headless-gtm-shared/requirements.txt
export APIFY_API_TOKEN=... # console.apify.com → Settings → Integrations
python discover.py \
--search-term "yoga studios" \
--geo "California" \
--max-results 200 \
--min-rating 4.0 \
[--include-emails] [--with-review-dates] \
[--out DIR] [--estimate-only] [--yes]
What ships with it
8 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.
- 10d ago First seen · 119 lines · 101 tokens per session scan A 78623cab3e1a
02-apify-maps-discover is a skill published in the GitHub repository Zevenue/headless-gtm (26 stars, last pushed 1mo ago), licensed MIT. It adds 101 tokens to every session and 1,571 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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