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 coleschaffer/copywritingskills-rmbc --skill pdp-ecomm-templategit clone --depth 1 https://github.com/coleschaffer/copywritingskills-rmbcWrote 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/coleschaffer/copywritingskills-rmbc/pdp-ecomm-template)<a href="https://agentmods.dev/skills/coleschaffer/copywritingskills-rmbc/pdp-ecomm-template"><img src="https://agentmods.dev/badge/skills/coleschaffer/copywritingskills-rmbc/pdp-ecomm-template/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/coleschaffer/copywritingskills-rmbc/pdp-ecomm-template"><img src="https://agentmods.dev/badge/skills/coleschaffer/copywritingskills-rmbc/pdp-ecomm-template.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 | $0.00038 | $0.01599 |
| Opus 5 | $0.00019 | $0.00800 |
| Sonnet 5 | $0.00008 | $0.00320 |
| Haiku 4.5 | $0.00004 | $0.00160 |
Grade A, and why
pdp-ecomm-template 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 11d 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 — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PDP E-Commerce Template
Purpose
Generate high-converting product detail page copy using RMBC methodology. The skill extracts structural patterns from proven top-performing PDPs (Primal Queen, Happy Mammoth, etc.) and applies that architecture to a new product. The PDP is often the highest-revenue page in a DTC funnel — every word is high-leverage.
Inputs
| Input | Required | Description |
|---|---|---|
product_name |
Yes | Product name as it appears on the label/site |
product_description |
Yes | What the product is, what it does, core value proposition |
key_ingredients_features |
Yes | Top ingredients or features with proof points (clinical data, patents, percentages) |
price_point |
Yes | Retail price + any bundle/subscription pricing |
target_audience |
Yes | ICP description — demographics, psychographics, core pain |
reference_page_url |
No | URL of a high-performing PDP to extract structure from |
traffic_source |
No | meta | native | organic | email. Default: meta. Adjusts tone/length |
Execution Protocol
Step 1: Load Context
Read rmbc-context/SKILL.md for framework overview, quality dimensions, and mobile-first principles.
Step 2: Calibrate for Traffic Source
Adjust copy length and tone based on traffic source:
- Meta (warm): Shorter, proof-heavy, assumes some brand awareness. Lead with social proof or results.
- Meta (cold): Medium length, problem-agitate-mechanism structure. Education required.
- Native ads: Longest copy. Advertorial-adjacent tone. Full mechanism education before product reveal.
- Organic/SEO: Balanced length. Feature-benefit focus. FAQ-heavy for search intent.
- Email: Shortest. Relationship-aware. Lead with offer or new proof.
Step 3: Extract Reference Structure
If reference_page_url is provided, analyze the page structure and extract the section-by-section template (headings, proof placement, CTA cadence, mobile layout). If not provided, use the default 9-section PDP architecture below.
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.
- 11d ago First seen · 134 lines · 38 tokens per session scan A 00b966c07fb9
pdp-ecomm-template is a skill published in the GitHub repository coleschaffer/copywritingskills-rmbc (30 stars, last pushed 5mo ago), licensed MIT. It adds 38 tokens to every session and 1,599 once invoked, about $0.0002 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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