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/stefanoskarakasis/Product-Marketing-SkillsWrote 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/commands/stefanoskarakasis/product-marketing-skills/gtm-motions)<a href="https://agentmods.dev/commands/stefanoskarakasis/product-marketing-skills/gtm-motions"><img src="https://agentmods.dev/badge/commands/stefanoskarakasis/product-marketing-skills/gtm-motions/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/commands/stefanoskarakasis/product-marketing-skills/gtm-motions"><img src="https://agentmods.dev/badge/commands/stefanoskarakasis/product-marketing-skills/gtm-motions.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 | $0.00012 | $0.00274 |
| Opus 5.5 | $0.00005 | $0.00110 |
| Sonnet 5.5 | $0.00002 | $0.00055 |
| Haiku 4.5 | $0.00001 | $0.00027 |
Grade A, and why
gtm-motions 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 13d 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.
What it actually says
/pmm-go-to-market:gtm-motions -- GTM Motions
Score the 7 acquisition motions (Inbound, Outbound, Paid Digital, Community, Partner, ABM, PLG) against your ICP's deal economics, apply blocking gates, and select a stack — one primary motion, at most one secondary, with named rejection reasons for the rest.
Invocation
/pmm-go-to-market:gtm-motions Mid-market fintech segment, ~$8K ACV, 45-day sales cycle
/pmm-go-to-market:gtm-motions Should we go PLG or sales-led for this launch?
Workflow
Uses the gtm-motions skill. Loads brain context and any confirmed
beachhead, scores all 7 motions on deal-economics fit, buyer
reachability, team/tool readiness, and time-to-signal, applies hard
gates (ACV floors, self-serve capability, team capacity), then outputs
a motion stack with a 90-day activation plan and numeric kill criteria.
Feeds directly into go-to-market-strategy's Channel Strategy section.
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.
- 13d ago Changed · -5 tokens per session 1ce9ced08e67
- 2mo ago First seen · 28 lines · 17 tokens per session scan A 67964335c996
gtm-motions is a command published in the GitHub repository stefanoskarakasis/Product-Marketing-Skills (8 stars, last pushed yesterday), licensed MIT. It adds 12 tokens to every session and 274 once invoked, about $0.0000 per session on Opus 5.5. 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 2026-08-31.
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