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 naderelewa/Product-to-Prod --skill gtm-domain-librarygit clone --depth 1 https://github.com/naderelewa/Product-to-ProdWrote 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/naderelewa/product-to-prod/gtm-domain-library)<a href="https://agentmods.dev/skills/naderelewa/product-to-prod/gtm-domain-library"><img src="https://agentmods.dev/badge/skills/naderelewa/product-to-prod/gtm-domain-library/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/naderelewa/product-to-prod/gtm-domain-library"><img src="https://agentmods.dev/badge/skills/naderelewa/product-to-prod/gtm-domain-library.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 | $0.00116 | $0.02361 |
| Opus 5 | $0.00058 | $0.01180 |
| Sonnet 5 | $0.00023 | $0.00472 |
| Haiku 4.5 | $0.00012 | $0.00236 |
Grade A, and why
gtm-domain-library 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 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.
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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Go-to-market domain library
A framework is not advice. It is a way of being wrong in public, on purpose, early enough to fix it.
This library holds seven go-to-market frameworks in one place, written so that any product team can use them without knowing anything about the team that assembled them. Each framework lives in its own reference file, and each one is an original write-up that credits the originator of the classic method it draws on inline, so you can always see where an idea came from.
What this is, and what it is not
It is a reference layer: domain knowledge that stays true across companies. Open the section you need, use the mechanism, close it.
It is not:
- A wizard. Nothing here interviews you or writes files. The verbs that ship alongside this library do that, and they open these sections when a decision needs one.
- Company context. There are no client names, no accounts, no internal identifiers and no market data specific to one business anywhere in this library. That separation is deliberate: context belongs to whoever runs the product, frameworks belong here.
- A number bank. Every market number here was filled from a sourced record and carries its evidence inline, or is shown as an open gap. See the number policy below.
How to use it
- Open reference first. Read the section that matches the decision in front of you. Do not read all seven; a framework you did not need is a framework you will misapply.
- Offer, never impose. These sections produce candidate answers for a human to accept, sharpen or reject. Nothing here is a verdict.
- Say which part is evidence and which part is your read. Every claim you take out of here into a real document carries a tag:
FOUND(read this cycle from a named source, with a locator),CALCULATED(computed, with the math shown),INFERRED(reasoned from evidence, reasoning stated),CONSTRUCTED(synthesised from several sources),HYPOTHESIS(speculation, never load-bearing),NEEDS-CONFIRMATION(waiting on a named person). A framework never upgrades a guess into a fact.
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.
- 12d ago First seen · 108 lines · 116 tokens per session scan A b0a36b677af2
gtm-domain-library is a skill published in the GitHub repository naderelewa/Product-to-Prod (43 stars, last pushed yesterday), licensed MIT. It adds 116 tokens to every session and 2,361 once invoked, about $0.0006 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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