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 wdavidturner/product-skills --skill growth-loopsgit clone --depth 1 https://github.com/wdavidturner/product-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/wdavidturner/product-skills/growth-loops)<a href="https://agentmods.dev/skills/wdavidturner/product-skills/growth-loops"><img src="https://agentmods.dev/badge/skills/wdavidturner/product-skills/growth-loops/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/wdavidturner/product-skills/growth-loops"><img src="https://agentmods.dev/badge/skills/wdavidturner/product-skills/growth-loops.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 | $0.00086 | $0.01091 |
| Opus 5 | $0.00043 | $0.00545 |
| Sonnet 5 | $0.00017 | $0.00218 |
| Haiku 4.5 | $0.00009 | $0.00109 |
Grade A, and why
growth-loops 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Growth Loops
What It Is
Growth Loops is a framework for building sustainable, compounding growth. The core insight: the best growth systems are loops, not funnels — where the output of one cycle becomes the input for the next.
Traditional growth thinking focuses on funnels: acquire users at the top, optimize conversion through stages, and measure output at the bottom. But funnels are linear. You pour effort in, you get results out, and then you start over. Loops are different: each cycle generates the fuel for the next cycle.
The key shift: Move from asking "How do we get more users?" to asking "How does each user we acquire generate more users?"
When to Use It
Use Growth Loops when you need to:
- Design your core growth engine before or after product-market fit
- Move beyond paid acquisition to more sustainable growth
- Understand why growth isn't compounding despite acquisition efforts
- Build virality, content, or sales loops into your product
- Evaluate distribution strategies for a new product or feature
- Diagnose why your "growth team" isn't producing results
- Plan how to capitalize on new distribution platforms (like ChatGPT)
When Not to Use It
- You haven't validated that anyone wants your product (find PMF first)
- You're optimizing micro-conversions without a growth model
- You're looking for "growth hacks" rather than systematic growth
- Your product has no natural mechanism for users to generate more users
Patterns
Detailed examples showing how to apply Growth Loops correctly. Each pattern shows a common mistake and the correct approach.
Critical (get these wrong and you've wasted your time)
| Pattern | What It Teaches |
|---|---|
| funnels-vs-loops | Funnels are linear and exhausting; loops compound and sustain |
| paid-acquisition-not-a-loop | Paid growth doesn't compound — it's buying users, not building an engine |
| founder-led-growth-first | You can't outsource finding your growth model to a growth team |
| kindle-before-fire | Non-scalable hacks exist only to unlock scalable loops |
| product-must-own-growth | Growth can't be a marketing-only function — product must own pipeline |
What ships with it
17 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.
- patterns/_template.md 460 B
- patterns/earned-over-paid.md 1.5 KB
- patterns/founder-led-growth-first.md 1.4 KB
- patterns/funnels-vs-loops.md 1.4 KB
- patterns/growth-team-timing.md 1.6 KB
- patterns/kindle-before-fire.md 1.7 KB
- patterns/loop-types.md 1.8 KB
- patterns/monetization-awareness.md 1.7 KB
- patterns/one-primary-loop.md 1.6 KB
- patterns/paid-acquisition-not-a-loop.md 1.5 KB
- patterns/platform-cycles.md 1.8 KB
- patterns/pqa-not-pql.md 1.6 KB
- patterns/product-must-own-growth.md 1.7 KB
- patterns/seven-users-threshold.md 1.7 KB
- patterns/velocity-over-volume.md 1.6 KB
- patterns/word-of-mouth-requires-delight.md 1.5 KB
- references/growth-loops-playbook.md 11 KB
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 · 93 lines · 86 tokens per session scan A ff1f2d5578df
growth-loops is a skill published in the GitHub repository wdavidturner/product-skills (20 stars, last pushed 7mo ago), licensed MIT. It adds 86 tokens to every session and 1,091 once invoked, about $0.0004 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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