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 lead-writergit 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/lead-writer)<a href="https://agentmods.dev/skills/coleschaffer/copywritingskills-rmbc/lead-writer"><img src="https://agentmods.dev/badge/skills/coleschaffer/copywritingskills-rmbc/lead-writer/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/lead-writer"><img src="https://agentmods.dev/badge/skills/coleschaffer/copywritingskills-rmbc/lead-writer.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 | $0.00032 | $0.01533 |
| Opus 5 | $0.00016 | $0.00766 |
| Sonnet 5 | $0.00006 | $0.00307 |
| Haiku 4.5 | $0.00003 | $0.00153 |
Grade A, and why
lead-writer 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 9d 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 — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.
lead-writer
Purpose
Generate the opening lead of long-form direct response copy. The lead is the first 200-500 words after the headline — it determines whether a prospect commits to reading or bounces. A great hook earns attention; a great lead earns the next 2,000 words. This skill produces 3 lead variations across different lead types so the copywriter can test or choose the strongest opening for their format (sales page, VSL, advertorial, email).
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 |
lead_type |
Yes | One of: story, problem_agitation, curiosity, news, contrarian — or auto to get best-fit recommendation |
key_mechanism |
No | The product's unique mechanism (output from /mechanism-ideation) |
format_context |
No | Where this lead will be used: sales_page, vsl, advertorial, email, general (default: general) |
Execution Protocol
Step 1 — Load Framework Context
Read rmbc-context/SKILL.md to load RMBC framework definitions. The lead sits between the hook (first line) and the body copy — it must sustain the curiosity the hook created while building enough emotional investment to carry the reader into the mechanism reveal.
Step 2 — Analyze Audience Sophistication
Determine market awareness level (Eugene Schwartz scale):
- Most Aware — Knows product, needs deal → Lead with offer
- Product Aware — Knows product, not convinced → Lead with proof/differentiation
- Solution Aware — Knows solutions exist, not yours → Lead with mechanism
- Problem Aware — Feels pain, no solution → Lead with problem agitation
- Unaware — Doesn't know they have a problem → Lead with story or news
Match lead type to awareness level. If lead_type: auto, recommend based on this analysis.
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.
- 9d ago First seen · 164 lines · 32 tokens per session scan A 3f85da255dc0
lead-writer is a skill published in the GitHub repository coleschaffer/copywritingskills-rmbc (30 stars, last pushed 5mo ago), licensed MIT. It adds 32 tokens to every session and 1,533 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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