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 ReachRobin/skills --skill gtm-motion-pickergit clone --depth 1 https://github.com/ReachRobin/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/skills/reachrobin/skills/gtm-motion-picker)<a href="https://agentmods.dev/skills/reachrobin/skills/gtm-motion-picker"><img src="https://agentmods.dev/badge/skills/reachrobin/skills/gtm-motion-picker/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/reachrobin/skills/gtm-motion-picker"><img src="https://agentmods.dev/badge/skills/reachrobin/skills/gtm-motion-picker.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 | $0.00062 | $0.02162 |
| Opus 5 | $0.00031 | $0.01081 |
| Sonnet 5 | $0.00012 | $0.00432 |
| Haiku 4.5 | $0.00006 | $0.00216 |
Grade A, and why
gtm-motion-picker 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 11d 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 — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GTM Motion Picker
A GTM motion is the system through which a product reaches its market -- not a single channel. The wrong motion creates compounding waste: PLG with too-high ACV burns customer acquisition costs you can't recoup; sales-led with too-low ACV burns headcount on deals that can't pay for the AE.
When to use
- Pre-launch: deciding initial motion
- ACV much less than CAC payback target -> motion is too expensive for price point
- Self-serve signup with 0% activation -> product can't be PLG yet, or onboarding is broken
- Sales team selling deals < $5K ACV with full demo cycles -> motion is too heavy
- Hybrid drift: started PLG, accidentally hired AEs, no one knows who owns what
When NOT to use
- You haven't shipped yet and are doing hypothesis work -- answer the 4 scoring variables first, then run this
- You want to plan a single marketing campaign, not a go-to-market system -- channel tactics don't require a motion decision
- ACV/TTV are completely unknown -- gather data first; scoring without numbers produces wrong recommendations
Use this instead
- icp-definer -- if you don't know who you're selling to, fix that before deciding how to reach them
- positioning-canvas -- if the question is how to describe the product, not how to sell it
- pricing-teardown -- motion choice has pricing implications (PLG requires a self-serve tier; sales-led allows "contact us"); run after this
The 4 deciding variables
Score each. The combination determines the motion.
1. ACV (annual contract value)
- <$1K -> PLG strongly favored (sales economics don't work)
- $1K-$15K -> PLG with sales assist (PLS)
- $15K-$100K -> hybrid (PLG top-of-funnel + AE close)
- >$100K -> sales-led (relationship-driven, multi-stakeholder)
ACV is the dominant variable. If ACV < $1K and you want sales-led, you're wrong about the motion or the price.
2. Time-to-value (TTV)
- <10 minutes -> PLG viable (user can hit "aha" alone)
- 10 min - 1 day -> PLG with onboarding investment
- 1 day - 1 week -> PLG hard, hybrid or services-assisted onboarding needed
- >1 week -> sales-led or implementation-led (can't expect self-serve)
What ships with it
1 file 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.
- 11d ago First seen · 184 lines · 62 tokens per session scan A f14bc3499054
gtm-motion-picker is a skill published in the GitHub repository ReachRobin/skills (2 stars, last pushed 3mo ago), licensed MIT. It adds 62 tokens to every session and 2,162 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 2026-08-31.
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