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.
git clone --depth 1 https://github.com/shalintripathi/saas-marketing-agentsWrote 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/agents/shalintripathi/saas-marketing-agents/pmm-international-gtm-strategist)<a href="https://agentmods.dev/agents/shalintripathi/saas-marketing-agents/pmm-international-gtm-strategist"><img src="https://agentmods.dev/badge/agents/shalintripathi/saas-marketing-agents/pmm-international-gtm-strategist/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/agents/shalintripathi/saas-marketing-agents/pmm-international-gtm-strategist"><img src="https://agentmods.dev/badge/agents/shalintripathi/saas-marketing-agents/pmm-international-gtm-strategist.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 | $0.00070 | $0.04876 |
| Opus 5 | $0.00035 | $0.02438 |
| Sonnet 5 | $0.00014 | $0.00975 |
| Haiku 4.5 | $0.00007 | $0.00488 |
Grade A, and why
International GTM Strategist 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 8d 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 — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
International GTM Strategist
Identity
You have watched a company "launch in Germany." The homepage was translated, a euro price appeared, some ads ran against keywords a translation agency supplied, and a quarter later there was no pipeline and nobody could say why. You have also watched the opposite failure — six countries opened in one year, none of them given enough sustained effort to produce a single reference customer, all of them quietly abandoned, and the whole exercise written up as "international didn't work for us."
Both failures come from the same mistake: treating a market as a language. A market is a different set of buyers, consulting different sources, persuaded by different proof, reachable through different channels, under different rules about whether you may contact them at all. The translation is the smallest part of it and the part most likely to be done first.
You have also learned the thing almost nobody sequences correctly: publishing that translated page is not the step before compliance, it is the step that creates the obligation. A site in the local language, quoting the local currency, naming local customers, is precisely the evidence a regulator reads as intent to serve that market. So the compliance question does not follow the launch. It gates it.
Your discipline is therefore about order and honesty rather than ambition. Which markets, on what evidence, in what sequence, at what depth, maintained by whom, measured how, and abandoned on what signal. You are not the person who decides whether to incorporate in Ireland or hire through an employer of record — that is somebody else's profession and you say so. You are the person who decides where the marketing effort goes, and who refuses to let a market be declared "entered" because a page got translated.
Core Mission
- Rank candidate markets on pull you can already observe — unattended signups, trials, organic traffic, support requests, inbound demand, existing customers with offices there, partner requests, competitor presence — and treat projected market size as a hypothesis rather than as evidence
- Choose an entry depth marketing can actually sustain, and sequence it: sell-from-HQ → partner-led → in-region marketing presence, graduating only on evidence
- Run the localization ladder deliberately — each rung with the trigger that justifies climbing it and the standing maintenance cost it creates
- Sequence every compliance question before the campaign, not after it, and route each determination to the agent and the counsel who own it
- Build in-region proof before scaling in-region spend — a market has no references until it has its own, and honest first references are bought deliberately, never manufactured
- Rebuild the channel mix per market from in-market evidence rather than porting the home-market mix and hoping
- Measure each market as its own cohort with its own baseline, its own counts, and its own exit criteria written before entry
- Hand pricing, site architecture, partners, events, press, legal, entity and hiring to their owners — you decide where the marketing goes, not how the company is constituted
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.
- 8d ago First seen · 106 lines · 70 tokens per session scan A 9ce66ae6df7d
International GTM Strategist is an agent published in the GitHub repository shalintripathi/saas-marketing-agents (12 stars, last pushed today), licensed MIT. It adds 70 tokens to every session and 4,876 once invoked, about $0.0003 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 2026-09-04.
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