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 brainbytes-dev/everything-claude-marketing --skill growth-loopsgit clone --depth 1 https://github.com/brainbytes-dev/everything-claude-marketingWrote 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/brainbytes-dev/everything-claude-marketing/growth-loops)<a href="https://agentmods.dev/skills/brainbytes-dev/everything-claude-marketing/growth-loops"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/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/brainbytes-dev/everything-claude-marketing/growth-loops"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/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 | $0.00025 | $0.02628 |
| Opus 5.5 | $0.00010 | $0.01051 |
| Sonnet 5.5 | $0.00005 | $0.00526 |
| Haiku 4.5 | $0.00003 | $0.00263 |
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 2mo 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 — 230 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Growth Loops
When to Activate
- Designing sustainable acquisition strategies beyond one-off campaigns
- Evaluating whether current growth is linear (unsustainable) or compounding
- Building product features that drive organic growth
- Transitioning from paid-dependent growth to organic/product-led growth
- Planning growth strategy for a new product or market
- Diagnosing why growth has plateaued despite increasing spend
First Questions
- What is your current primary growth channel? (Paid, organic, viral, sales)
- Is your growth linear (proportional to spend/effort) or compounding (output feeds back into input)?
- What does your user do that could naturally bring in more users?
- What content or data does your product generate that could attract new users?
- What is your business model? (SaaS, marketplace, D2C, media, community)
- What is your current ratio of paid vs. organic acquisition?
- Do existing users generate any word-of-mouth or referral behavior today?
What is a Growth Loop?
A growth loop is a system where the output of one cycle becomes the input of the next, creating compounding growth. Unlike funnels (which are linear: traffic → conversion → customer), loops feed back on themselves.
Linear growth (funnel): Spend $100 → Get 10 customers. Spend $200 → Get 20 customers. Stop spending → growth stops.
Compounding growth (loop): New user → Creates content → Content ranks in search → Attracts new users → They create content → More content ranks → More new users...
The Loop Anatomy
Every growth loop has four components:
- Input: What enters the loop (a new user, a piece of content, capital)
- Action: What the user or system does (creates content, invites friends, makes a purchase)
- Output: What the action produces (content, referrals, data, revenue)
- Reinvestment: How the output feeds back as new input (content attracts search traffic, referrals bring new users, revenue funds more ads)
Growth Loop Types
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.
- 2mo ago First seen · 230 lines · 25 tokens per session scan A 458389846a49
growth-loops is a skill published in the GitHub repository brainbytes-dev/everything-claude-marketing (10 stars, last pushed 7mo ago), licensed MIT. It adds 25 tokens to every session and 2,628 once invoked, about $0.0001 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 2026-09-03.
growth-loops compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| growth-loopsbrainbytes-dev/everything-claude-marketing | Skill | 10 | 7mo ago | MIT | A | 25 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |