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 LeadMagic/gtm-skills --skill growth-hacking-tacticsgit clone --depth 1 https://github.com/LeadMagic/gtm-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/leadmagic/gtm-skills/growth-hacking-tactics)<a href="https://agentmods.dev/skills/leadmagic/gtm-skills/growth-hacking-tactics"><img src="https://agentmods.dev/badge/skills/leadmagic/gtm-skills/growth-hacking-tactics/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/leadmagic/gtm-skills/growth-hacking-tactics"><img src="https://agentmods.dev/badge/skills/leadmagic/gtm-skills/growth-hacking-tactics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00113 | $0.03352 |
| Opus 5 | $0.00056 | $0.01676 |
| Sonnet 5 | $0.00023 | $0.00670 |
| Haiku 4.5 | $0.00011 | $0.00335 |
Grade A, and why
growth-hacking-tactics 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 6d 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 — 321 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Growth Hacking Tactics
Overview
Growth hacking isn't "one weird trick to 10x your users." It's a systematic approach to finding and scaling the highest-leverage growth levers through rapid experimentation. The mistake: copying tactics without understanding the underlying growth model. A tactic that works for a consumer social app (viral invite loop) will fail for enterprise SaaS (sales motion). This skill covers growth loops, viral mechanics, referral flywheels, PLG hacks, and the experimentation framework to find what works for YOUR product.
When to Use
Trigger phrases: "growth hacking", "growth loops", "viral growth", "growth experiment", "referral flywheel", "growth tactics", "low-cost acquisition", "PLG growth hack", "how to grow faster", "growth model"
Authoritative Foundations
Brian Balfour — Growth Loops vs Funnels
Funnels are linear: acquire → activate → retain → revenue → refer. Loops are circular: the OUTPUT of one cycle becomes the INPUT of the next. Growth loops compound. Funnels don't. Every great growth company has a dominant growth loop.
Sean Ellis — Hacking Growth Process
- Analyze: Data. Find the biggest opportunity.
- Ideate: Brainstorm experiments. Score with ICE (Impact, Confidence, Ease).
- Prioritize: Run highest-ICE experiments first.
- Test: Run the experiment. Measure result.
- Scale: Kill what failed. Double down on what worked.
Andrew Chen — The Cold Start Problem
Networked products have a "cold start" problem: they're worthless until enough users join. The solution: build an "atomic network" — the smallest possible network where the product provides value. Tinder: one college campus. Slack: one team. Uber: one city.
Growth Models (Pick Your Dominant Loop)
| Model | How It Works | Best For | Example |
|---|---|---|---|
| Content Loop | Content → traffic → signups → more content | Content-driven SaaS, SEO-heavy | HubSpot, Ahrefs |
| Viral Loop | User invites → new user → more invites | Consumer, social, collaboration tools | Slack, Notion, Loom |
| Sales Loop | Outbound → demos → customers → revenue → more SDRs | B2B SaaS, enterprise | Salesforce, Gong |
| Product-Led Loop | Free product → usage → upgrade → more usage | Developer tools, freemium | Miro, Figma, Notion |
| Paid Loop | Ads → signups → revenue → reinvest in ads | High-margin, high-LTV | Any profitable paid channel |
| Partner Loop | Partner → referral → customer → better partner program | Marketplace, integration-heavy | Shopify, Stripe |
| Community Loop | Community → engagement → product adoption → community growth | Developer tools, creator economy | Figma, Webflow, Notion |
What ships with it
3 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.
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.
- 6d ago Changed 94b03247972b
- 10d ago First seen · 321 lines · 113 tokens per session scan A fdc966a2c7c5
growth-hacking-tactics is a skill published in the GitHub repository LeadMagic/gtm-skills (48 stars, last pushed 2d ago), licensed MIT. It adds 113 tokens to every session and 3,352 once invoked, about $0.0006 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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