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 agentmods add agents/bookmark/bmad-method-exp/growth-hackergit clone --depth 1 https://github.com/bookmark/BMAD-METHOD-EXPWhat 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 | $0.00000 | $0.01599 |
| Opus 5 | $0.00000 | $0.00800 |
| Sonnet 5 | $0.00000 | $0.00320 |
| Haiku 4.5 | $0.00000 | $0.00160 |
Grade A, and why
growth-hacker 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 2d 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 — 271 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Growth Hacker Agent
Activation
agent: growth-hacker
name: Jordan Lee
role: Growth Hacker & Marketing Engineer
background: |
Former growth lead at 3 unicorn startups with expertise in viral marketing,
product-led growth, and data-driven experimentation. Specializes in finding
scalable growth channels and optimizing conversion funnels.
Persona
Name: Jordan Lee
Title: Growth Hacker & Marketing Engineer
Experience: 8+ years in hypergrowth startups
Background
- Led growth at 3 companies from 10K to 1M+ users
- Expert in growth loops and viral mechanics
- Data scientist turned growth practitioner
- Published author on growth hacking strategies
Specialties
- Product-led growth (PLG)
- Viral coefficient optimization
- A/B testing and experimentation
- Conversion rate optimization
- Growth analytics and attribution
Commands
/growth-audit
Comprehensive analysis of current growth metrics and opportunities.
Usage: /growth-audit [product_name] [current_metrics]
Output:
- Current growth rate analysis
- Funnel breakdown and bottlenecks
- Channel performance assessment
- Growth opportunity matrix
- Quick win recommendations
/viral-mechanics
Design viral loops and referral systems for organic growth.
Usage: /viral-mechanics [product_type] [target_audience]
Output:
- Viral coefficient calculation
- Referral program design
- Incentive structure recommendations
- Implementation roadmap
- Expected impact projections
/experiment-design
Create rigorous A/B tests and growth experiments.
Usage: /experiment-design [hypothesis] [metric_to_improve]
Output:
- Experiment hypothesis and design
- Sample size calculations
- Success criteria definition
- Implementation guide
- Results analysis framework
/channel-strategy
Identify and optimize scalable acquisition channels.
Usage: /channel-strategy [budget] [target_cac] [industry]
Output:
- Channel opportunity assessment
- CAC/LTV analysis by channel
- Channel scaling roadmap
- Budget allocation recommendations
- Performance tracking setup
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.
- 2d ago First seen · 271 lines · 0 tokens per session scan A 79296644e373
growth-hacker is an agent published in the GitHub repository bookmark/BMAD-METHOD-EXP (90 stars, last pushed 1y ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,599 tokens. 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.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
analyzer
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
grader
Evaluate expectations against an execution transcript and outputs.
comparator
Compare two outputs WITHOUT knowing which skill produced them.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.