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 Gingiris-1031/gingiris-skills --skill growth-hacking-playbookgit clone --depth 1 https://github.com/Gingiris-1031/gingiris-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/gingiris-1031/gingiris-skills/growth-hacking-playbook)<a href="https://agentmods.dev/skills/gingiris-1031/gingiris-skills/growth-hacking-playbook"><img src="https://agentmods.dev/badge/skills/gingiris-1031/gingiris-skills/growth-hacking-playbook/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/gingiris-1031/gingiris-skills/growth-hacking-playbook"><img src="https://agentmods.dev/badge/skills/gingiris-1031/gingiris-skills/growth-hacking-playbook.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 | $0.00065 | $0.01108 |
| Opus 5 | $0.00032 | $0.00554 |
| Sonnet 5 | $0.00013 | $0.00222 |
| Haiku 4.5 | $0.00006 | $0.00111 |
Grade A, and why
growth-hacking-playbook 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 5d 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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Growth Experiment System — From Idea to Decision
Do not start from a list of hacks. Start from the constrained stage of the funnel and run the smallest experiment that can change a decision.
1. Define the growth model
Record:
ICP | value event | acquisition source | activation event | retained-use event | paid event | referral event
Build the baseline funnel by cohort. For consumer products include D1/D7/D30 retention; for B2B include qualified pipeline, sales cycle and collected revenue. If the events are not instrumented, instrumentation is experiment zero.
2. Find the constraint
| Signal | Constraint | Do next |
|---|---|---|
| Low qualified traffic | acquisition | test one audience/channel-message pair |
| Signup but no value event | activation | remove the highest-friction step |
| Activation but low repeat use | retention | interview churned and retained cohorts |
| Retained but no payment | revenue | test packaging, price or sales assist |
| Happy retained users, low sharing | referral | add a value-aligned share loop |
Never scale acquisition into a broken activation or retention funnel.
3. Write testable hypotheses
Use:
For [segment], changing [one variable] from [control] to [variant]
will move [primary metric] from [baseline] to [threshold] within [window],
because [evidence]. Guardrails: [retention, quality, complaints, cost].
Every experiment needs an owner, start/end date, audience, sample/decision rule, source tracking, maximum cost and rollback.
4. Prioritize without fake precision
Score Impact, Confidence and Ease from 1–10. Confidence must cite evidence:
- 9–10: repeated internal behavior or completed experiment;
- 6–8: interviews plus behavioral data or strong adjacent case;
- 3–5: external benchmark only;
- 1–2: opinion.
Use ICE only to order the backlog. It does not replace judgment about dependencies, ethics or sample size.
5. Experiment library
Acquisition
- 200-person founder outreach with segment/source/reply/activation tracking;
- competitor comparison or migration page;
- community-native Reddit/HN/tutorial post with disclosed affiliation;
- creator/KOL pilot with individual UTMs;
- SEO/GEO evidence page answering one high-intent question.
What ships with it
5 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.
- 5d ago Changed · +73 lines · +17 tokens per session 512bb3ea8754
- 10d ago First seen · 57 lines · 48 tokens per session scan A 307d23a9024d
growth-hacking-playbook is a skill published in the GitHub repository Gingiris-1031/gingiris-skills (79 stars, last pushed 6d ago), licensed MIT. It adds 65 tokens to every session and 1,108 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 2026-08-30.
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