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 fatihguner/foreman --skill four-ps-marketinggit clone --depth 1 https://github.com/fatihguner/foremanWrote 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/fatihguner/foreman/four-ps-marketing)<a href="https://agentmods.dev/skills/fatihguner/foreman/four-ps-marketing"><img src="https://agentmods.dev/badge/skills/fatihguner/foreman/four-ps-marketing/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/fatihguner/foreman/four-ps-marketing"><img src="https://agentmods.dev/badge/skills/fatihguner/foreman/four-ps-marketing.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 | $0.00098 | $0.02635 |
| Opus 5 | $0.00049 | $0.01318 |
| Sonnet 5 | $0.00020 | $0.00527 |
| Haiku 4.5 | $0.00010 | $0.00264 |
Grade A, and why
four-ps-marketing 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 — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Read runtime and advisory rules before applying this skill. Other Foreman layers and the catalog are in ../../content/, relative to this SKILL.md.
The Four Ps of Marketing
Product, Price, Place, Promotion. Four words that built trillion-dollar brands and bankrupted companies that ignored even one of them. E. Jerome McCarthy distilled the entirety of marketing strategy into this deceptively simple taxonomy in 1960, and six decades later it remains the skeleton key to market entry. The framework endures not because it is sophisticated -- it is not -- but because it forces founders to confront four decisions they cannot delegate, delay, or decouple. Get all four right and the market opens. Get one wrong and you discover, expensively, that marketing is a system, not a checklist.
The Framework
The Marketing Mix operates as four interdependent levers. Adjusting one necessarily affects the others. A premium product sold through discount channels erodes its own positioning. A low price paired with exclusive distribution creates cognitive dissonance. The discipline lies in coherence.
| Lever | Core Question | What It Encompasses | Common Founder Blind Spot |
|---|---|---|---|
| Product | What exactly are you selling? | Features, quality, design, branding, packaging, warranties, lifecycle | Over-engineering features nobody asked for; building for yourself, not the customer |
| Price | What is it worth -- and to whom? | List price, discounts, payment terms, financing, perceived value, price elasticity | Defaulting to cost-plus pricing; fear of charging what the market will bear |
| Place | How does the customer get it? | Channels, distribution, logistics, market coverage, online vs. physical, partnerships | Assuming "if we build it, they will come"; neglecting channel economics |
| Promotion | How do they know it exists? | Advertising, PR, content marketing, sales force, social media, partnerships, events | Spending on awareness before achieving product-market fit |
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 First seen · 182 lines · 98 tokens per session scan A 16ab721d3b24
four-ps-marketing is a skill published in the GitHub repository fatihguner/foreman (50 stars, last pushed 6d ago), licensed MIT. It adds 98 tokens to every session and 2,635 once invoked, about $0.0005 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 2026-09-06.
Other skills, from other repositories
go-to-market-playbook
A reusable Go-to-Market strategy template for both B2B and B2C launches. Covers positioning, messaging, ICP definition, channel selection, and competitive analysis frameworks. By @WeiYipei.
startup-consultant
Startup growth consulting agent specializing in Product Hunt launches, open-source marketing, and Go-to-Market audits. Get expert-level strategic reviews and actionable recommendations. By @WeiYipei — fractional growth lead for AI startups.
startup-growth-playbook
Seed-stage growth playbook focused on channel selection and prioritization. Helps founders with product-market fit decide where to invest limited resources for maximum traction. By @WeiYipei.
startup-launch-playbook
A step-by-step playbook for early-stage startups going from pre-seed to their first 1000 users. Covers MVP validation, initial traction channels, and founder-led growth tactics. By @WeiYipei — follow on X for more startup growth insights.
campaign-analytics
Analyze campaign performance from deliverability through revenue: delivery, engagement, replies, meetings, SQOs, pipeline, CAC, and payback. Produces diagnostic scorecard, root-cause analysis, benchmark comparison, and next-action plan. Use when deciding whether to scale, fix, or kill campaigns.
a-b-testing
Design statistically sound GTM experiments for copy, channels, landing pages, sequencing, pricing, and funnel conversion. Produces hypothesis, sample-size logic, success metrics, test plan, analysis method, and scale/stop/kill recommendation. Use when planning A/B tests, split tests, or experiment roadmaps.