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 T4wroot/agentic-seo --skill gtmgit clone --depth 1 https://github.com/T4wroot/agentic-seoWrote 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/t4wroot/agentic-seo/gtm)<a href="https://agentmods.dev/skills/t4wroot/agentic-seo/gtm"><img src="https://agentmods.dev/badge/skills/t4wroot/agentic-seo/gtm/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/t4wroot/agentic-seo/gtm"><img src="https://agentmods.dev/badge/skills/t4wroot/agentic-seo/gtm.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 | $0.00093 | $0.01626 |
| Opus 5 | $0.00046 | $0.00813 |
| Sonnet 5 | $0.00019 | $0.00325 |
| Haiku 4.5 | $0.00009 | $0.00163 |
Grade A, and why
gtm-strategy 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 7d 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.
This is a copy
100% identical to gtm-strategy — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Strategies: Go-to-Market
Guides go-to-market (GTM) strategy—the blueprint for launching or repositioning a product that aligns product, marketing, sales, and customer success around reaching and winning target customers. Organizations with a defined GTM process see ~10pp higher launch success rates (63% vs 53%) and ~3× median revenue growth. However, ~72% of sales reps miss quota, often due to execution gaps. Use this skill when planning GTM for product launch, new market entry, repositioning, or feature launch.
When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
GTM Scenarios
| Scenario | Scope | Use |
|---|---|---|
| Product launch | New product to market | Full GTM; see product-launch for launch execution |
| New market entry | New geography or segment | Full GTM; different buying behaviors, competitors, regulations |
| Repositioning | Shift who you serve, what you solve | Messaging, ICP, channel alignment; not just rebrand |
| Feature launch | New capability in existing product | Tiered by impact; T1 (revenue) = full planning; T2/T3 = lighter |
GTM vs product launch: GTM is the strategy; product launch is the execution phase. GTM applies to multiple scenarios—not just new products.
GTM Modes
| Mode | When to Use | ACV | Buyer |
|---|---|---|---|
| Product-led (PLG) | Value in minutes; self-evaluate; simple adoption | <$10K | Buyer = end user |
| Sales-led (SLG) | Multi-stakeholder; complex procurement; implementation | >$25K | Enterprise; negotiation |
| Marketing-led (MLG) | Content, SEO, paid drive awareness; market education | Varies | Demand gen focus |
| Hybrid | PLG for acquisition; sales for expansion | Common | Self-serve → sales handoff |
Decision factors: ACV, product complexity, buyer profile, how customers want to buy. Target LTV:CAC ≥3:1; CAC payback <12 months.
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.
- 7d ago First seen · 127 lines · 93 tokens per session scan A 2c8fa11db7eb
gtm-strategy is a skill published in the GitHub repository T4wroot/agentic-seo (15 stars, last pushed 8d ago), licensed MIT. It adds 93 tokens to every session and 1,626 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to gtm-strategy, differing in 0 lines, and is treated as a copy.
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