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 beingsmit/technical-product-gtm --skill product-led-growthgit clone --depth 1 https://github.com/beingsmit/technical-product-gtmWrote 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/beingsmit/technical-product-gtm/product-led-growth)<a href="https://agentmods.dev/skills/beingsmit/technical-product-gtm/product-led-growth"><img src="https://agentmods.dev/badge/skills/beingsmit/technical-product-gtm/product-led-growth/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/beingsmit/technical-product-gtm/product-led-growth"><img src="https://agentmods.dev/badge/skills/beingsmit/technical-product-gtm/product-led-growth.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 | $0.00058 | $0.03001 |
| Opus 5 | $0.00029 | $0.01501 |
| Sonnet 5 | $0.00012 | $0.00600 |
| Haiku 4.5 | $0.00006 | $0.00300 |
Grade A, and why
product-led-growth 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.
This is a copy
95% identical to gtm-product-led-growth — 5 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 — 341 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product-Led Growth
Build self-serve acquisition and expansion motions. But first, figure out if PLG is even the right motion for your product.
When to Use
Triggers:
- "Should we build PLG or sales-led?"
- "How do we drive self-serve adoption?"
- "Freemium to paid conversion isn't working"
- "Developer-led adoption strategy"
- "Which growth channels should we invest in?"
- "How do I know if PLG will work?"
Context:
- Developer tools and platforms
- B2B SaaS with self-serve potential
- Products where value is obvious without demo
- Bottom-up adoption motions
- Growth channel prioritization
Core Frameworks
1. The PLG Reality Check (Test Before You Commit)
What I Learned Running Both Motions in Parallel:
Classic startup debate. PLG camp: "Developers want self-serve." Sales camp: "Enterprises need hand-holding." Instead of arguing, we tested both for 6 months. Same product, two GTM motions, tracked everything.
The Results:
PLG: High volume, low ACV ($5K), fast time-to-revenue, higher churn. Sales-led: Lower volume, high ACV ($50K), slower time-to-revenue, lower churn. Sales won 10x on dollars despite 10x less volume.
Why: Product complexity + buyer seniority = sales-led wins. The product required integration with existing infrastructure, change management across teams, and multi-stakeholder alignment. Developers loved self-serve. But they weren't the economic buyer.
PLG works when:
- Value is obvious in first 5 minutes
- Implementation is trivial
- Individual user gets value without team buy-in
- No procurement/legal hurdles
- Buyer = user
Sales-led works when:
- Product requires integration/setup
- Multiple stakeholders need alignment
- Buyer ≠ user
- Deal size justifies human touch
- Customer needs education to see value
Before building PLG, test your motion. Don't assume PLG is better because it's trendy. PLG is efficient at volume, but sales-led can be more profitable with complexity.
2. The Growth Equation (Map Inputs to Outputs)
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 · 341 lines · 58 tokens per session scan A 634c44f3eb9f
product-led-growth is a skill published in the GitHub repository beingsmit/technical-product-gtm (42 stars, last pushed 5mo ago), licensed MIT. It adds 58 tokens to every session and 3,001 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to gtm-product-led-growth, differing in 5 lines, and is treated as a copy.
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