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 skills/coleschaffer/copywritingskills-rmbc/offer-stacknpx skills add coleschaffer/copywritingskills-rmbc --skill offer-stackgit 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/offer-stack)<a href="https://agentmods.dev/skills/coleschaffer/copywritingskills-rmbc/offer-stack"><img src="https://agentmods.dev/badge/skills/coleschaffer/copywritingskills-rmbc/offer-stack.svg" alt="Measured on agentmods" 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 | $0.00039 | $0.02260 |
| Opus 5 | $0.00019 | $0.01130 |
| Sonnet 5 | $0.00008 | $0.00452 |
| Haiku 4.5 | $0.00004 | $0.00226 |
Grade A, and why
offer-stack 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 — 207 lines — stays where its author put it; the contents beside it link to each section on GitHub.
offer-stack
Purpose
Design irresistible offer stacks that make the price feel like a steal. An offer stack is the complete package a prospect receives — the core offer plus bonuses, guarantee, urgency, and price anchoring. The target: 10:1 perceived value to actual price. If the product costs $97, the stack should feel worth $970+. This skill structures every component with a name, description, retail value, and a reason it matters to the ICP. The offer stack is where Mechanism meets money — every bonus reinforces the core mechanism and removes a specific objection.
Inputs
| Input | Required | Description |
|---|---|---|
core_product |
Yes | What the main product/service is, what it does, key features or deliverables |
price_point |
Yes | Actual price the customer pays, plus any payment plan options |
target_audience |
Yes | Who the buyer is — demographics, pain points, desires, awareness level |
num_bonuses |
No | Number of bonuses to include (default: 3, range: 2-5) |
guarantee_type |
No | Preferred guarantee: money_back, conditional, better_than_money_back, performance, double_money_back (default: money_back) |
Execution Protocol
Step 1 — Load Framework Context
Read rmbc-context/SKILL.md to load RMBC framework definitions. Offer stacking applies RMBC at the deal level — Research reveals which objections the bonuses must neutralize, the Mechanism determines what "only we" bonuses make sense, the Brief structures the stack for maximum perceived value, and Copy names each component compellingly.
Step 2 — Analyze the Value Architecture
Before building the stack, map the prospect's decision framework:
| Factor | Question | How It Shapes the Stack |
|---|---|---|
| Core desire | What outcome do they want most? | Core offer messaging leads with this |
| Primary objection | Why would they NOT buy? | Guarantee and key bonus address this |
| Secondary objections | What else holds them back? | Remaining bonuses address these |
| Comparison set | What else could they spend this money on? | Price anchoring uses this as reference |
| Time to value | How quickly do they need results? | Fast-start bonus accelerates perceived time to value |
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 · 207 lines · 39 tokens per session scan A 59071db2e5ba
offer-stack is a skill published in the GitHub repository coleschaffer/copywritingskills-rmbc (30 stars, last pushed 5mo ago), licensed MIT. It adds 39 tokens to every session and 2,260 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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