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 hook-batterygit 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/hook-battery)<a href="https://agentmods.dev/skills/coleschaffer/copywritingskills-rmbc/hook-battery"><img src="https://agentmods.dev/badge/skills/coleschaffer/copywritingskills-rmbc/hook-battery/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/hook-battery"><img src="https://agentmods.dev/badge/skills/coleschaffer/copywritingskills-rmbc/hook-battery.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 | $0.00042 | $0.01569 |
| Opus 5 | $0.00021 | $0.00785 |
| Sonnet 5 | $0.00008 | $0.00314 |
| Haiku 4.5 | $0.00004 | $0.00157 |
Grade A, and why
hook-battery 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 10d 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 — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
hook-battery
Purpose
Generate 10 hooks (2 per type) across 5 psychological trigger categories. A hook is the FIRST thing a prospect sees — the opening line of an ad, email, landing page, or video. It determines whether they engage or scroll past. Stefan's standard: if a hook could apply to any product, it's too generic. Every hook must be specific to the product, reference its mechanism when possible, and work in 1-2 lines on a mobile screen.
Inputs
| Input | Required | Description |
|---|---|---|
product_description |
Yes | What the product is, what it does, key features/ingredients/components |
target_audience |
Yes | Who the prospect is — demographics, pain points, desires, sophistication level |
key_mechanism |
No | The product's unique mechanism (output from /mechanism-ideation) |
key_result |
No | The specific transformation or outcome the product delivers |
tone |
No | One of: aggressive, conversational, professional (default: conversational) |
Execution Protocol
Step 1 — Load Framework Context
Read rmbc-context/SKILL.md for framework overview. Hooks sit at the top of the copy funnel — they must earn the next line of reading.
Step 2 — Extract Hook Fuel
From inputs, identify:
- Specific numbers — stats, timeframes, dollar amounts, percentages
- Mechanism language — named processes, compounds, or systems to reference
- Audience pain language — exact words the prospect uses to describe their problem
- Desire language — exact words the prospect uses to describe their ideal outcome
- Contrarian angles — common advice in this space that can be challenged
Step 3 — Generate 10 Hooks (2 Per Type)
Curiosity (×2)
Pattern: Open a knowledge gap the reader must close.
- "The weird trick that..." / "Why [unexpected thing] works better than..."
- Must promise a specific revelation, not vague intrigue
Fear (×2)
Pattern: Surface a cost or danger the reader hasn't considered.
- "Are you making this [specific cost] mistake?" / "The hidden danger in..."
- Must name a real, specific threat — not manufactured anxiety
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.
- 10d ago First seen · 136 lines · 42 tokens per session scan A 25e15ffb9cdb
hook-battery is a skill published in the GitHub repository coleschaffer/copywritingskills-rmbc (30 stars, last pushed 5mo ago), licensed MIT. It adds 42 tokens to every session and 1,569 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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